Layering Success: How To Target High-Intent Users In Google Ads via @sejournal, @LisaRocksSEM

In an increasingly data-driven advertising world, getting your ads in front of the right people can make all the difference.

One powerful way to achieve that is through audience layering in Google Ads.

By stacking multiple audience signals like remarketing lists, in-market segments, and more, you can deliver highly relevant ads and zero in on high-intent users.

Audience layering can be complicated. Let’s dive into what audience layering is, the key components, and an example demonstrating how you can start using it effectively in your campaigns.

What Is Audience Layering?

Layering audiences in Google Ads means combining different audience targeting methods within a single campaign or ad group.

Instead of targeting just one broad group, you stack multiple criteria to create increasingly specific segments of users.

By filtering out less-qualified traffic, layering helps you focus on the people most likely to be interested in your products or services.

This approach allows you to refine your ad spend by reaching more qualified groups and speaking directly to their interests or behaviors.

As a result, you can reduce wasted spend and improve overall ad performance.

What Are The Benefits Of Layering Audiences?

  • Targeting Efficiency & Relevance: By layering audiences, you’re showing ads to people most likely to be interested with messaging more relevant to each group’s specific needs. This reduces wasted ad spend, leading to higher conversion rates.
  • Better Control Over Bidding: Layering allows you to bid differently for different audience combinations. You might be willing to bid higher for users who are your ideal customers and also okay with branching out a bit on other targeting.
  • Enhanced Insights: By analyzing the performance of different layered segments, you gain valuable insights into which audience combinations work best. This helps you optimize your campaigns and allocate your budget more effectively.

Which Types Of Audiences Can Be Layered In Google Ads?

Let’s look at the types of audiences we can choose from that are eligible for using together for advanced targeting. You can layer the following audience types (with exceptions noted below):

  • Remarketing Lists: Target people who previously visited your site, used your app, or engaged with your YouTube channel.
  • In-Market Audiences: Reach users actively researching or comparing products/services in your category, ideal for capturing high-intent shoppers.
  • Affinity Audiences: Group users by broad interests or lifestyles, such as “Pop Music Fans” or “Outdoor Enthusiasts.”
  • Customer Match: Use your own customer relationship management (CRM) data (e.g., email lists) to re-engage known customers or leads who have already shown interest in your brand.
  • Audience Segments: Formerly called “custom affinity” or “custom intent,” these let you define audiences based on URLs, apps, or keywords relevant to your niche.
  • Detailed Demographics: Refine your targeting based on age, gender, parental status, household income, and other demographic factors.
  • Combined Audiences: Combined Audiences (for Display, Video, and Discovery campaigns) allow you to create more complex targeting by combining different audience segments. This primarily uses “AND” logic, meaning you target the intersection of the combined audiences. For example, you can target users who are both on your remarketing list and in a specific in-market audience. While there isn’t direct “OR” logic within Combined Audiences, similar results can be achieved by creating separate ad groups for each audience or using bid adjustments with Observation.
  • Life Events: Target users in display and video campaigns based on significant life moments, such as graduating college, getting married, or moving.
  • Location Targeting: While not an audience, is also a crucial component and often serves as a foundational layer upon which other audience targeting is applied. For example, you might target people interested in “movies” (an Interest) who are also located within a specific city or region to advertise your theater.

By strategically layering these audience segments – and considering location targeting as a base layer – you can significantly improve the relevance of your ads, reaching the most qualified potential customers.

What Is Targeting And Observation?

The concepts of Targeting and Observation are directly related to audience layering strategies in Google Ads.

They determine how your layered audiences interact with your broader targeting settings and influence who sees your ads and how much you bid for those impressions.

Here’s how they relate:

Targeting Only And Layering

When you use Targeting with multiple audiences, you create a restrictive layering effect. Think of it as an “AND” relationship between the layers. A user must belong to all targeted audiences to see your ad.

  • Example: You target people who are “travel buffs” AND people located in Oregon. Your ad will only be shown to users who meet both criteria. Someone interested in travel but located in California would not be served ads. Someone in Oregon who isn’t interested in travel would also not be served ads.

This approach is excellent for focusing on highly qualified audiences but can significantly limit your reach.

Observation And Layering

By adding audiences in Observation, you are not directly targeting the observed audiences. The primary purposes of adding an audience to Observation are:

  • Gathering Statistics/Insights: Observation allows you to see how different audience segments perform within your existing targeting. You can analyze metrics like conversion rate, cost per action (CPA), and return on ad spend (ROAS) for each observed audience to understand which segments are most valuable.
  • Making Bid Adjustments: Based on the performance data, you can adjust your bids for observed audiences. Increase bids for high-performing segments and decrease bids for lower-performing ones. This allows you to optimize your bidding strategy without restricting your reach.
  • Example: Your base targeting is the keyword “Outdoor Gear.” You then add “travel buffs” and people located in Oregon as observed audiences. Your ads can be shown to anyone searching for “Outdoor Gear.” However, you might bid higher for users who are also interested in travel (showing stronger purchase intent) and even higher for those travel buffs who are also located in Oregon (your primary target market).

This approach allows for a broader reach while still prioritizing high-value segments through bid adjustments.

Layering Strategies And Targeting/Observation

Effective audience layering strategies often involve a combination of Targeting and Observation. Here are a few common approaches:

  • Start With Observation: Begin by observing multiple audiences to gather performance data and identify high-performing segments.
  • Transition To Targeting: Once you identify a high-performing observed audience, you might switch it to Targeting to focus your budget exclusively on that segment.
  • Combine Targeting And Observation: You might target a broad audience (e.g., “Outdoor Enthusiasts”) and then use Observation to layer in more specific interests (e.g., “Hiking”) for bid adjustments.
  • Hierarchical Layering: Use Targeting to define your core audience (e.g., location and demographics) and then layer on observed audiences for interests and purchase intent to refine bidding.

By understanding the interplay between Targeting and Observation, you can create sophisticated audience layering strategies that maximize reach and improve data gathering for optimal targeting.

screenshot of google ads audience observation and targeting settingsScreenshot of Google Ads (settings by author), January 2025

Which Campaign Types Support Audience Layering?

Audience layering, using both Targeting and Observation, is available across several Google Ads campaign types, but with some differences in functionality and availability of audience types.

The campaign types below are all supported, but have slightly different use cases by campaign:

  • Search Campaigns: Refining targeting based on user intent and demographics, particularly for reaching users who have previously interacted with your website (remarketing) or are actively researching relevant products/services (In-Market).
  • Display Campaigns: Reaching users based on interests, demographics, and browsing behavior across the Google Display Network. Layering is a key strategy for narrowing your audience and improving the relevance of your display ads.
  • Video Campaigns (YouTube): Reaching users based on their YouTube activity, interests, and demographics. Layering allows you to target specific viewer segments and optimize your video ad campaigns for better engagement and conversions.
  • Demand Gen Campaigns: Demand Gen campaigns are designed to drive conversions and generate leads. Audience layering allows you to refine your targeting to reach users who are most likely to convert and cater your sales messaging to those segments.
  • Performance Max Campaigns (Special Case):
    • Targeting (Limited): While Performance Max campaigns use audience signals, you don’t directly set Targeting or Observation in the same way as other campaign types. You provide Google Ads with “audience signals” (including your website, customer lists, and other audience segments) to help the system understand your ideal customer. Google’s automation then uses these signals to optimize targeting and reach the most relevant users across various channels. Google notes: “However, this isn’t a guarantee that ads will be served to only users within these audiences. If it’s determined that other segments of users are converting well, ads will be served outside of users specified in the audience signals.”
    • Audience Signals: You can provide a wide range of audience signals, including website visitors, customer lists, custom segments, and interests. These signals act as a form of layering, informing the system about the characteristics of your target audience.

Key Considerations:

  • Campaign Goals: Your campaign goals should inform your audience layering strategy. For example, a campaign focused on brand awareness might use broader targeting with Observation for bid adjustments, while a campaign focused on conversions might use more restrictive Targeting to reach highly qualified leads.

By understanding how audience layering works across different campaign types, you can adapt your targeting strategies to achieve your specific marketing objectives.

How Do I Set Up Audience Layering In Google Ads?

It can be a bit confusing knowing how to set up audiences and layer them in Google Ads. The following steps will get you there:

  1. Campaign > Select the campaign for which you want to apply audience layering.
  2. In the side menu > Audiences, keywords, and content > Audiences.
  3. Look to the right > Audience segments > Add Audience segments.
  4. Pick a campaign or ad group from the pop-up menu.
  5. Select the “Targeting” or “Observation” radio button – you can only choose one.
  6. Search or browse audience categories.
  7. Add Audiences > Select the audiences you want to layer.
  8. Save.
  9. Set Bid Adjustments (for Observation): After saving, you’ll be kicked back to step 3. Here, choose “show table,” where you will see the list of targeting you selected. There is a field to edit/add bid adjustments.

Audience Layering Example

Let’s look at an example of how we can layer audiences for a fictitious company selling kayaks in-store in the state of Oregon, USA.

Targeting Recommendation

  1. Location Targeting: Focus on geo-targeting cities/towns near popular kayaking spots in Oregon.
  2. In-Market Audience Targeting: Layer “Water Activities Equipment & Accessories” and “Outdoor Recreational Equipment” in-market audiences.
  3. Affinity Audience Targeting: Layer “Outdoor Enthusiasts,” and “Water Sports Enthusiasts” to reach users who have a general affinity for these lifestyles.

Explanation And Justification Of Layering:

Layer 1: Location Targeting (Cities Near Kayaking)

This layer focuses on users physically located near popular kayaking destinations in Oregon who are geographically more likely to be interested in kayaking activities in Oregon.

This recommendation is standard for a business offering location-specific services or targeting local customers.

It ensures your ads are shown to people who are geographically relevant and more likely to visit your physical store or participate in kayaking activities in the area.

Layer 2: In-Market Audiences (Water Activities Equipment/Outdoor Recreation)

This layer targets users actively researching and considering purchases related to water sports gear and outdoor recreation.

This signals a higher purchase intent compared to users who simply have a general interest in these categories.

By layering this audience with the location targeting, you’re reaching people near kayaking spots who are also actively looking to buy relevant products or services, making them highly qualified leads.

Layer 3: Affinity Audiences (Outdoor/Water Sports)

This layer broadens your reach beyond those actively researching purchases. It targets users with a general affinity for outdoor activities, travel, and adventure.

While these users might not be immediately ready to purchase, they represent a larger pool of potential customers who could be interested in kayaking.

This layer helps increase brand awareness and introduce your kayak company to a wider audience who share relevant lifestyle interests.

By layering these audiences, the kayak store can reach a highly targeted audience (those interested in outdoor activities, located near kayaking spots, and actively researching related purchases) while also reaching a broader audience of potential kayakers through affinity targeting.

The diagram below further illustrates how this targeting plays together.

Segment “A”: Represents the audience reached where the location and the in-market audience overlap and both are targeted.

Segment “B”: It is likely, but not guaranteed, that a small sample of people will be in all audiences – the in-market, affinity, and in the location targeted. This would be an ideal audience.

Segment “C”: Represents the audience reached when both in the location and in the affinity audience list.

audience layering venn diagram example for google adsDiagram created by author, January 2025

How Do I  Measure Success?

Now that we’ve explored an example layering plan, let’s get ready to evaluate the success of layered audiences.

Like most campaigns in Google Ads, focus on these key metrics:

  • Conversion Rate: Which audience combinations lead to the most conversions (sales, leads, etc.)? A higher conversion rate indicates a more qualified audience.
  • Cost Per Conversion (CPA): How much does it cost to get a conversion from each layered audience? A lower CPA means you’re getting conversions more efficiently.
  • Return on Ad Spend (ROAS): For every dollar you spend, how much revenue are you generating from each layered audience? A higher ROAS indicates a more profitable audience.
  • Click-Through Rate (CTR) (Secondary Metric): While not a direct measure of success, a higher CTR can suggest that your ads are resonating with a particular audience segment.
  • Impression Share (For Targeting): If using Targeting, monitor the impression share to see if you’re reaching all available users within your targeted audience. A low impression share could suggest that your bids are too low or your targeting is too specific.

By analyzing these metrics for each layered audience, you can identify valuable segments, optimize your bids, and refine your targeting.

Final Thoughts

Audience layering stands as a cornerstone strategy for PPC professionals looking to maximize their advertising impact in today’s rapidly evolving digital landscape.

By strategically combining audience signals, you create targeting precision that directly impacts your bottom line.

Successful audience layering isn’t set-and-forget. Your commitment to understanding and applying these strategies will directly impact your campaign’s success.

The power lies not just in the layering itself, but in your approach to selecting, measuring, and optimizing these combinations over time.

More Resources:


Featured Image: U-STUDIOGRAPHY DD59/Shutterstock

Smart Bidding In Google Ads: In-Depth Guide via @sejournal, @brookeosmundson

Imagine running campaigns that adjust bids perfectly for every auction, targeting the right user at the right moment.

That’s the promise of Smart Bidding in Google Ads.

For PPC marketers, especially for beginners, Smart Bidding can feel like an enticing but sometimes overwhelming tool.

Between algorithm updates, new automation options, and ever-changing PPC best practices, it’s easy to lose sight of how to maximize its potential.

In this guide, we’ll explore what Smart Bidding is, how it works today, and the actionable strategies you can use to get the best results. Whether you’re new to automation or looking to fine-tune your approach, this article is here to help.

What Is Smart Bidding?

Per Google’s definition:

“Smart Bidding refers to bid strategies that use Google AI to optimize for conversions or conversion value in each and every auction.”

Unlike manual or rules-based bidding, Smart Bidding uses data signals – like device type, time of day, location, and even user intent – to determine the optimal bid for each auction.

Some of the key Smart Bidding strategies include:

  • Target Cost Per Acquisition (CPA): Sets bids to help you get as many conversions as possible at your target cost per acquisition.
  • Target Return on Ad Spend (ROAS): Focuses on maximizing conversion value at your desired return.
  • Maximize Conversions: Aims to get the highest number of conversions within your budget.
  • Maximize Conversion Value: Optimizes for the highest total conversion value, perfect for campaigns with varied transaction amounts.

These strategies are invaluable for streamlining campaign management, saving time, and improving results.

However, they work best when paired with a clear strategy and enough data points to make sound decisions.

When Should You Use Smart Bidding?

Smart Bidding isn’t a one-size-fits-all solution. Choosing the right strategy depends on your campaign goals, audience, and available data.

Here’s when each strategy shines, along with real-world examples to help you decide:

Target CPA

Target CPA is perfect for campaigns where controlling the cost per lead or conversion is crucial, such as lead generation.

For example, a SaaS company running a campaign to drive free trial signups wants to maintain a $50 CPA.

By setting this target, Smart Bidding adjusts bids to focus on leads that are more likely to convert within that range, while ignoring auctions where conversion costs might exceed that goal.

Target ROAS

This Smart Bidding strategy is ideal for campaigns where profitability matters more than the number of conversions. Typically, most ecommerce businesses would opt for a ROAS strategy.

For example, say an online retailer selling high-end electronics has a goal to maintain a 400% ROAS (four times return on every dollar spent).

Using Target ROAS, the algorithm prioritizes auctions for users likely to generate higher-value purchases, such as customers buying laptops, while de-emphasizing bids for lower-margin items like accessories.

Maximize Conversions

Try using this Smart Bidding strategy when you have a set budget and want to maximize the total number of conversions, regardless of cost per conversion.

It’s especially effective for brand awareness or expanding into new markets.

For example, say, a non-profit organization aims to maximize email signups for a new awareness campaign.

Since the focus is on volume rather than cost efficiency, Maximize Conversions helps them get the most signups possible within their budget.

Maximize Conversion Value

This strategy is best for campaigns with varied transaction values, where the goal is to optimize for total revenue or high-value actions.

For example, a luxury travel agency advertises vacation packages ranging from $5,000 to $20,000.

By using Maximize Conversion Value, the campaign prioritizes auctions for customers likely to book premium packages, even if they cost more to acquire, rather than focusing on smaller bookings.

Common Pitfalls Of Smart Bidding

Smart Bidding is a powerful tool, but it’s not immune to challenges. Understanding potential pitfalls can help you avoid costly mistakes.

1. Insufficient Or Incorrect Data

Smart Bidding relies heavily on historical data to optimize bids. Campaigns with low conversion volume or incomplete tracking often confuse the algorithm, leading to poor performance.

For example, if you have a campaign that only gets 10 conversions in the past 30 days, it may not be best to go all in on Target ROAS or Target CPA strategies until it gathers more data.

With only a handful of conversions every month, the algorithm lacks enough data to predict future outcomes, resulting in missed opportunities or over-aggressive bidding.

For new campaigns, consider using Maximize Clicks first to gather enough traffic to your website, allowing the algorithm to learn faster and gain more historical data.

2. Misaligned Goals

Using the wrong bidding strategy for your campaign objectives is the easiest way to derail your campaign.

For instance, Target CPA may not be suitable if profitability (ROAS) is your primary goal.

In this hypothetical example, say a retailer mistakenly applies Target CPA to a holiday campaign, aiming for a $20 CPA, even though their products have a $200 average transaction value.

That strategy drives volume, but at the expense of profitability.

Make sure to clearly define your campaign’s primary objective (lead generation, revenue maximization, etc.) and choose a Smart Bidding strategy that aligns with it.

3. Overlooking The Learning Phase

Every Smart Bidding strategy has a learning phase where performance may fluctuate as the algorithm adjusts.

Making changes too soon can reset the process and waste budget.

Say you just launched a campaign with a Target CPA strategy, only to switch it to Maximize Conversions just one week later due to inconsistent results.

This prevents the algorithm from stabilizing and optimizing for long-term success.

Allow one to two weeks (or longer for low-volume campaigns) for the learning phase to complete. Monitor performance, but avoid major changes during this period.

4. Ignoring External Factors

While Smart Bidding is highly adaptive, it can’t predict seasonal trends, promotions, or external market shifts without proper input.

Make sure to use Google’s seasonality adjustment tool to account for temporary shifts in user behavior during sales or promotions, or even national events that could change a user’s online behavior.

5. Underutilizing Advanced Features

Many advertisers set up Smart Bidding, but fail to use advanced options like bid simulators, audience layering, or custom conversion values.

This limits their ability to optimize performance.

Try testing out some of these additional campaign or ad group layers to understand the potential outcomes, and use audience insights to refine targeting.

Best Practices For Smart Bidding Success

Smart Bidding can be a game-changer in the results of your campaigns, but it’s not a magic wand.

To get the most out of this powerful tool, you need to pair automation with thoughtful planning and regular oversight.

By following these tried-and-true best practices, you’ll not only improve campaign performance but also avoid the common pitfalls that trip up many advertisers.

1. Feed The Algorithm With Clean, Accurate Data

Conversion tracking is the backbone of Smart Bidding. Errors in tracking or unverified conversions can lead to misguided optimizations.

When fed with clean and accurate data, the algorithm has the best chance to produce fruitful results.

But when fed with inaccurate data points, your Smart Bidding strategy will wreak havoc on your performance.

Garbage in, garbage out.

Be sure to regularly audit your conversion tracking setup. Ensure every key action (purchases, form submissions, calls, etc.) is tracked accurately and attributed correctly.

For ecommerce campaigns, make sure to include transaction values to correctly use Maximize Conversion Value or Target ROAS strategies.

2. Set Realistic Goals

Unrealistic CPA or ROAS targets can choke the algorithm, resulting in limited impressions or poor bid adjustments.

If you’re not sure what to set your campaign targets at, review historical campaign datasets to set achievable targets.

For example, if your average CPA is $50, don’t set a Target CPA of $20 right away. Start closer to your historical average and adjust gradually.

This also pertains to your daily budget. If your daily budget is only $50 but your average CPA target is $50, this will severely limit ad serving because it’s holding back finding the user most likely to convert.

3. Layer Audiences And Signals

While Smart Bidding works on its own, adding audience segments or demographic layers can give the algorithm more context.

Try using remarketing lists, in-market audiences, and customer match data to guide Smart Bidding towards higher-value users.

You can add audience segments as “Observation Only” to start with if you don’t want to narrow on those users specifically yet.

Depending on their performance, you can always adjust your bids up or down, or even exclude them altogether.

4. Leverage Seasonality Adjustments

Google’s seasonality adjustment feature lets you signal to the algorithm about anticipated spikes or dips in demand.

Before a major sale or holiday, input a seasonality adjustment to help the algorithm prepare for the surge in conversions.

Additionally, make sure to increase your daily budgets to account for those holiday surges.

5. Monitor Performance With The Right Metrics

Don’t rely solely on Google Ads’ automated suggestions and insights.

Do your due diligence and analyze auction insights, search impression share, and audience performance to identify trends and areas for improvement.

6. Run Experiments To Validate Strategies

Testing is critical to understanding what works.

Google Ads Experiments allows you to split test Smart Bidding strategies without risking your entire budget.

For example, say you’ve been running a campaign on Maximize Conversions, but are looking to narrow in on a specific CPA target.

You can set up an experiment to test a Target CPA strategy against the Maximize Conversions to see what performs better for your goals.

That way, you’re not dramatically shifting the behavior of the account overnight and introducing a lot of volatility into performance.

The Bottom Line On Smart Bidding

Smart Bidding in Google Ads has evolved to become an indispensable tool for PPC marketers.

Its ability to leverage machine learning and real-time data is unmatched, but like any tool, its success depends on how you use it.

By aligning your strategy with your goals, feeding the algorithm accurate data, and monitoring performance regularly, you can unlock its full potential.

Remember, automation doesn’t mean you’re off the hook – it means you have more time to focus on strategy, creativity, and scaling your campaigns.

With the right approach, Smart Bidding isn’t just smart – it’s transformational.

More Resources:


Featured Image: dee karen/Shutterstock

Google Ads Introduces Advanced Targeting For Performance Max via @sejournal, @MattGSouthern

Google Ads updates Performance Max with advanced controls, improved reporting, and smarter targeting to optimize campaign performance.

  • Advertisers get more control over AI with new targeting and exclusion tools.
  • Improved reporting provides clearer insights into search and asset performance.
  • Updates focus on transparency, actionable data, and high-value customer targeting.
Google Phrase Match: Everything You Need To Know via @sejournal, @siliconvallaeys

Google has continued evolving its ad targeting systems, emphasizing AI-driven, intent-based matching that connects ads to user searches more flexibly.

With this shift, Google Ads aims to give advertisers a balance between reach and control – where phrase match keywords can now capture broader, intent-aligned search terms.

Recent updates focus on “relevant variations” of search terms, leaning heavily on Smart Bidding to provide cost-effective results while allowing AI to show ads for a broader set of queries that match the user’s intent rather than specific words.

Phrase Match Examples

Phrase match’s looser definition introduced in 2024 means ads can appear for broader, intent-aligned queries rather than just queries that contain the same words as the keyword.

For example, a keyword like “eco-friendly cleaning supplies” may trigger ads for searches like [sustainable cleaning products] or [green cleaning solutions].

While these queries don’t have the same words as the keyword, which phrase match used to require, Google’s AI judges these variations as relevant, offering broader reach without sacrificing quality.

User Insight: To analyze phrase match performance, monitor Google’s enhanced search term reporting, updated in June 2024.

With this update, Google improved visibility by including misspelled search queries alongside their correct counterparts, revealing approximately 9% more search terms that were previously categorized as “Other.”

This additional visibility allows you to identify trends better and spot irrelevant terms, providing more data to refine your campaigns for optimal results.

What Is Phrase Match In Google Ads?

Image from author, November 2024

Phrase match traditionally required ads to appear only for searches containing the keyword phrase in the exact order.

However, with Google’s transition to intent-based matching, ads can now appear for searches that align with the advertiser’s keyword intent, even if the phrase order or specific wording differs.

This means that ads may show on searches that include the meaning of the keyword, even if that meaning is implied or if the user’s search is a more specific form of it.

Example of Phrase Match Flexibility: Suppose your phrase match keyword is “tennis shoes.” With 2024’s updates, this keyword could trigger ads for searches like [men’s tennis sneakers] or [women’s sports shoes for tennis].

Although the words aren’t identical, Google’s AI recognizes that they share a similar intent, allowing advertisers to capture more relevant clicks within this broadened scope.

This approach enables advertisers to reach a wider audience than with an exact match but still maintains more control than broad match.

The syntax for phrase match remains the same – by placing quotes around the keyword, such as “tennis shoes,” advertisers signal Google to match ads to relevant variations of the keyword’s meaning.

This intent-based system ensures ads appear only on searches that closely relate to the product or service, giving advertisers the reach they need without diluting relevance.

New Brand Controls And Thematic Targeting In Phrase Match

Phrase match now prioritizes search intent over strict keyword matching, using Google’s AI to focus on relevance rather than exact phrasing.

This shift enables phrase match to capture a broader range of intent-aligned queries, making thematic keyword grouping a strategic approach.

Organizing keywords by theme allows advertisers to better manage reach and relevance within ad groups.

For instance, if you’re promoting fitness leggings, a thematic ad group could include terms like “workout leggings,” “athletic leggings,” and “high-performance gym tights.”

This approach ensures your ads reach intent-aligned searches across a focused product theme, achieving both precision and broader coverage.

The June 2024 update also introduced expanded brand controls that enhance targeting flexibility, allowing advertisers to better manage ad placements with two new tools: brand exclusions and brand inclusions.

Brand Exclusions

This setting allows you to prevent ads from appearing on specific brand-related search queries that don’t align with campaign goals.

It’s useful for filtering out irrelevant brand terms, misspellings, or close brand variants and is applicable across all match types and Dynamic Search Ads (DSAs).

By using brand exclusions, you can maintain ad relevance and ensure that impressions focus only on relevant traffic.

Brand Inclusions

Specific to broad match, brand inclusions allow ads to appear only on queries associated with selected brands.

This is useful if you want broad match reach but with more brand-specific targeting, helping you avoid unwanted brand associations while benefiting from broad match’s potential for higher reach.

Together, these brand controls offer advertisers more refined management over ad placements, which is especially helpful as phrase match broadens to capture more thematic intent.

However, it’s essential to monitor the impact of brand exclusions on reach and conversion rates.

Regularly review and adjust brand settings to optimize reach while maintaining ad quality and relevance.

Phrase Match Vs. Other Match Types

Image from author, November 2024

Phrase match stands distinct from exact and broad match types by offering a balanced middle ground between controlled targeting and reach.

Exact match remains the best option for high-precision campaigns, ensuring ads only appear for searches that closely match the target keyword.

Broad match, on the other hand, is often used in conjunction with Smart Bidding and Responsive Search Ads to allow Google’s AI to find additional conversions within bid targets, even when the keywords may be less directly related to the advertiser’s core terms.

For advertisers who want to balance control with reach, phrase match continues to provide a reliable option that blends intent-focused targeting with a reasonable scope.

Broad match can be beneficial when aiming for conversions at lower costs through Google’s automated relevance, though it requires careful monitoring to avoid potential misalignment with the brand’s focus.

As we compare these match types, recent performance data offers further insight into how each one delivers value in specific areas.

Optmyzr’s November 2024 analysis provides a deeper look at key metrics across exact, phrase, and broad match keywords, highlighting unique advantages that can guide strategic choices.

Performance Analysis Of Match Types

Strategic Data: Optmyzr’s November 2024 analysis of 992,028 keywords across 15,491 ad accounts highlights the unique strengths of each match type:

  • Exact Match: Delivers the highest precision with the highest ROAS (415%) and CTR (21.6%).
  • Phrase Match: Offers balanced reach, with the second-highest ROAS (314%) and CTR (11.4%).
  • Broad Match: Maximizes cost-effective volume, with the lowest ROAS (278%) and CTR (8.5%) but the highest conversion rate (8.52%).

Among the nearly one million keywords analyzed, 36% were phrase match, 33% were exact match, and 31% were broad match.

Match Type No. of accounts No. of campaigns No. of keywords Conv. rate ROAS CPC CPA CTR
Exact 12,936 57,219 332,343 7.98% 415.33% 1.40 17.59 21.66%
Phrase 15,491 69,592 353,050 9.31% 313.17% 1.71 18.33 11.36%
Broad 12,760 48,599 306,635 8.52% 277.71% 1.81 21.29 8.53%

Source: Optmyzr Keyword Study – November 2024

Advantages Of Using Phrase Match

Image from author, November 2024

Why Choose Phrase Match Over Exact and Broad Match?

With recent updates, phrase match now captures intent-aligned searches similarly to broad match, raising the question of why advertisers would still opt for it instead of relying solely on broad and exact match.

The reason lies in phrase match’s ability to deliver relevant reach with more control than broad match can offer.

While broad match can generate traffic across a wide range of search terms, it may attract some unrelated queries, even with Smart Bidding adjustments.

Phrase match offers a balance, allowing ads to reach more intent-aligned searches while filtering out terms that stray too far from the specific theme of the keyword.

This makes phrase match particularly valuable in campaigns where maintaining relevance within a competitive market is key but where exact match’s narrow targeting may miss valuable variations of user intent.

Image from author, November 2024

Advantages Of Using Phrase Match

Phrase match remains a highly effective tool, offering advertisers the flexibility to capture a range of relevant queries while maintaining a degree of control beyond what broad match provides.

Google’s AI updates enable phrase match to work seamlessly with Smart Bidding, aligning ads more accurately with intent-aligned queries, which can lead to higher click-through rates and better campaign efficiency.

These updates make it possible for phrase match to achieve a broader reach while still focusing on relevance, capturing queries close to the product or service theme.

For advertisers seeking a balance between reach and cost-efficiency, phrase match stands out as ideal – especially in competitive markets where control over search intent can help maximize ad relevance and minimize wasted spend.

Disadvantages Of Using Phrase Match

Phrase match, while flexible, carries some potential drawbacks.

The broad reach might lead to less relevant matches, which can result in increased costs if not monitored carefully. Negative keywords, brand exclusions, and regular adjustments are essential to keep your campaigns targeted and cost-effective.

Pro Tip: Brand exclusions, combined with a vigilant approach to monitoring search terms, can help avoid irrelevant clicks. Be cautious with overly generic phrase match keywords that may trigger less relevant ads, leading to wasted ad spend.

When To Use Phrase Match In Your PPC Campaigns

Phrase match is ideal for capturing a range of related searches without segmenting the campaign too narrowly.

Using thematic keyword groupings can help improve campaign efficiency, as Google’s systems now recognize broader but intent-aligned variations.

Pairing broad match with phrase match can be effective, especially for large-scale campaigns.

Broad match, when combined with Smart Bidding, can help identify new opportunities, while phrase match ensures the ad stays relevant to a specific theme.

Phrase Match Tips For Success

To enhance the effectiveness of phrase match keywords in your campaigns, consider implementing the following advanced strategies:

1. Leverage Thematic Ad Group Structuring

Organize your ad groups around specific themes or product categories. This approach ensures that your ads are triggered by search queries closely aligned with user intent, thereby improving ad relevance and performance.

For instance, grouping keywords like “eco-friendly cleaning supplies” and “sustainable cleaning products” within the same ad group can help target environmentally conscious consumers more effectively.

2. Implement Advanced Negative Keyword Strategies

Regularly update and refine your negative keyword list to exclude terms that are irrelevant or unlikely to convert.

This practice prevents your ads from appearing in unrelated searches, optimizing your budget and enhancing click-through rates.

For example, if you’re selling premium products, adding “cheap” or “discount” as negative keywords can help filter out bargain hunters.

3. Utilize Google’s Search Term Reports

Analyze search term reports to gain insights into the actual queries triggering your ads.

This analysis allows you to identify and add irrelevant terms as negative keywords and discover new, relevant keywords to target.

Regularly reviewing these reports helps fine-tune your keyword strategy for better alignment with user intent.

4. Apply Smart Bidding Strategies

Employ Smart Bidding strategies, such as Target CPA or Target ROAS, in conjunction with phrase match keywords.

Google’s machine learning algorithms can optimize bids in real-time, enhancing the likelihood of conversions and improving return on ad spend.

This approach leverages Google’s AI to adjust bids based on contextual signals, leading to more efficient budget utilization.

5. Conduct A/B Testing

Perform A/B tests on various elements of your campaigns, including ad copy, landing pages, and call-to-action phrases.

This experimentation helps determine what resonates most with your audience, allowing for data-driven optimizations that enhance overall campaign performance.

By integrating these advanced strategies, you can maximize the potential of phrase match keywords, ensuring your ads reach the most relevant audience while maintaining control over your advertising spend.

Key Takeaways

Google’s 2024 updates have reshaped phrase match, expanding reach but reducing the control advertisers once had over precise targeting. This shift to AI-driven matching requires adapting, as campaigns may capture broader traffic that sometimes strays from exact intent.

To make the most of phrase match under these new rules, focus on core best practices: use negative keywords to refine results, apply Smart Bidding to maximize ROI, and organize campaigns with thematic ad groups.

While this change limits some targeting precision, Google’s AI now helps uncover high-value, intent-aligned searches you might otherwise miss.

Final Takeaway: Though these updates may feel restrictive, staying proactive and adaptable can help you capture relevant audiences and maintain competitive performance in the evolving PPC landscape.

More resources:


Featured Image: myboys.me/Shutterstock

Paid Media Marketing In 2025: 7 Changes Marketers Should Make via @sejournal, @brookeosmundson

Paid media marketers, take a deep breath – 2024 was a whirlwind, wasn’t it?

AI officially moved from buzzword to business-as-usual, with tools like Google’s Gemini and Microsoft’s Copilot changing how we create ads, manage campaigns, and even analyze performance.

Privacy updates threw yet another curveball, with third-party cookies trying to fade into the sunset, but then Google reversed its decision, and platforms stepped up with new privacy-friendly targeting solutions.

Oh, and let’s not forget TikTok and Reddit leveling up their ad platforms, making them serious players for advertisers looking to diversify beyond Google and Facebook.

And then there’s Google’s AI-generated search overviews. If you haven’t seen them yet, they’re already shifting how ads show up in search results, adding new dynamics to a space we thought we had figured out.

Basically, the industry didn’t slow down this year – it sped up.

As we head into 2025, the message is clear: Staying still is not an option. The platforms are evolving, consumer behavior is shifting, and if you’re not testing, adapting, and optimizing, you’re falling behind.

Whether it’s leaning into AI, rethinking targeting, or getting smarter about how you spend your ad dollars, there’s no shortage of ways to level up your paid media game this year.

So, let’s talk about seven tangible changes you can make next year to keep your campaigns ahead of the curve.

These aren’t theoretical tweaks – they’re practical, actionable strategies you can implement today to drive better results tomorrow. Let’s dive in.

1. Embrace The Shift To Conversational AI In Ad Creation

Conversational AI tools like Google’s Gemini and Microsoft’s Copilot enable ad creation and optimization in a more fluid, interactive way.

They’re becoming essential for marketers who want to scale ad variations without exhausting creative resources.

If you’re looking to test and scale how this can work for you, start small with AI-generated ad copy tests. Use the conversational AI tools within the Google Ads platform to create a few new ad variations that differ from your standard copy.

For instance, if your current ads are heavily CTA-focused, let the AI suggest more storytelling or benefits-driven language and test these versions in a limited campaign to gauge performance.

Another tip is to start experimenting with ad personalization at scale. AI tools allow you to input audience insights, such as location or interests, to create tailored ad variations.

Create segmented ads that appeal to different demographics or psychographics and use split testing to identify which approach resonates best.

Lastly, whenever you’re using AI-generated content, make sure to set aside time to review those suggestions monthly. Take note of recurring suggestions that could highlight hidden opportunities or adjustments you may not have initially considered.

2. Refine Ad Targeting With Data Privacy In Mind

With the unreliability of third-party cookies, the upcoming year marks the need for refined targeting strategies that balance effectiveness with privacy.

Tools like Google’s enhanced privacy features and Microsoft’s predictive audience segmentation help ensure you’re reaching the right users in a compliant way.

Now’s the time to develop a robust first-party data strategy. Start by auditing your first-party data to identify gaps and potential sources for future data.

You can also utilize your customer relationship management (CRM) tools and website data collection to capture behavior-based insights and create audience segments you own.

Additionally, because both Google and Microsoft allow Customer Match solutions, it’s a great time to review those policies.

Google is updating its Customer Match policy in January 2025 to ensure that first-party data being used in campaign targeting has been collected with consent.

This leads to implementing a consent-based tracking strategy for your company.

Use tools like cookie consent managers and transparency banners to build trust and ensure you’re gathering data responsibly. If you don’t, you’re at risk of not being able to use first-party data solutions by the ad platforms.

When creating a consent-based tracking strategy, it’s also a good idea to proactively share with users how you use their data and offer clear opt-out options. Transparency is key in this two-way buyer and seller relationship journey.

3. Optimize For AI-Driven Search Ad Placements

AI-generated search summaries, especially in Google’s AI Overviews, are creating new ad placements and impacting traditional ad performance. This trend requires close monitoring and proactive adjustments to stay competitive.

As these new ad placements continue to roll out, here are a few tips to make sure your PPC ads are optimized for this new wave of AI content.

  • Monitor CTRs On AI-Influenced Placements: Start tracking the click-through rates of ads appearing in AI-generated results versus traditional SERPs. This insight can help you understand whether AI-generated placements impact user engagement and identify areas for improvement.
  • Create Specialized Assets For AI Overviews: Use images, headlines, and descriptions designed for short attention spans. For instance, include a compelling image and a clear, concise CTA in your ad to boost appeal in this new placement.
  • Review Performance Max Insights Regularly: Google’s Performance Max campaigns, which include AI-driven placements, provide insights into what combinations work best across channels. Use this data to refine ads in other campaigns where similar placements are available.

4. Lean Into Multi-Channel Campaign Integration

With consumers using multiple platforms interchangeably, paid media strategies must embrace an integrated, omni-channel approach.

Platforms like TikTok and Reddit have built out more robust ad offerings, providing marketers with more cross-platform synergy.

Start by mapping out a cross-platform customer journey. Outline your audience’s touchpoints across different platforms.

For instance, if your customer typically discovers products on TikTok but purchases through Google Shopping, ensure you’re present and active on both channels with consistent messaging.

Another item to keep in mind is utilizing platform-specific metrics to refine your strategy.

Each platform has unique engagement metrics. For example, on TikTok, you can monitor completion rates and engagement (likes, comments) to assess content effectiveness.

LinkedIn, on the other hand, is a place to focus on connection and message response rates.

Tailor your content based on what performs best on each channel. Each channel should have a different content strategy, not just putting the same ads across all platforms, hoping that one of them will click with a user.

5. Optimize Creative Customization With AI Image Editing

AI-powered image editing allows for rapid customization across visuals, which is critical for multi-audience campaigns.

Canva’s integration with Google Workspace and Microsoft’s AI image generator simplifies the creative process, enabling customization without extensive design resources.

To make the most of these AI editors and integrations, start with creating templates for faster customization.

Design or download templates on Canva that match your brand guidelines, making it easy to adjust colors, fonts, and messages for different audiences with minimal effort.

The templates can help you maintain visual consistency while catering to different segments.

To take it up a notch, try running A/B tests on custom visuals. Create two or more variations of AI-edited images to test different elements.

When testing creative, make sure to test differences that are noticeable enough. Track which visual styles drive the most engagement, and use those insights to guide future designs.

If you’re targeting multiple locations in your ads, use AI tools to adjust visuals for regional appeal.

For example, if you’re running an ad in New York and California, you can use AI to create images that feature landmarks or seasonal elements relevant to each location.

6. Enhance Attribution Tracking And Adjust KPIs Accordingly

A multi-device world demands better attribution tracking to understand the entire customer journey.

Google’s Enhanced Conversions and Microsoft’s Customer Insights provide more reliable data across touchpoints, helping marketers adjust KPIs to reflect complex engagement patterns.

To start, review enhanced conversions for first-party tracking to determine if this makes sense for your account.

Enhanced Conversions capture data from form fills or purchases to match offline actions back to Google Ads. When setting this up, make sure your campaigns reflect actual conversions, not just clicks, allowing for more accurate reporting.

Additionally, if you’re still using Last Click attribution models, you will be left in the dust.

It’s time to move beyond last-click attribution to track the impact of each customer touchpoint. You can use Google Analytics or Microsoft’s attribution reports to assess the role of each ad in a customer’s journey, and allocate credit accordingly.

Lastly, when it comes to measurement, it’s time to evolve your key performance indicators (KPIs). Not every channel in your marketing mix should be measured by direct purchases.

Just last year, in North America, the average person owned 13 devices – a 63% increase from 2018.

Users leverage multiple devices during their purchase journey, accounting for more visits but fewer conversions. No wonder conversion rates are decreasing!

For example, if you’re running a brand awareness campaign on TikTok for an audience who’s never heard of you, your KPIs should not be measuring purchases.

Track meaningful metrics like engagement rates, increase in branded search queries, or time on site to understand how those platforms contribute to long-term brand growth and loyalty.

7. Make Influencers Part Of Your Marketing Model

Small and large influencers alike are an awesome resource at your fingertips, just as long as your audiences align.

Even brands with a few thousand followers can utilize influencer marketing to make a big difference and gain traction in the market.

You can use AI tools to help you find the top influencers in your space. Then, figure out a Cost Per Acquisition (CPA) for working with them.

From there, you can create a win-win partnership that gets you more leads or purchases while the influencer earns income.

However, be sure to vet your influencers carefully. Users are quick to spot inauthentic content, so make sure that your influencer strategy includes real, authentic voices that truly love and use your product.

Whichever you choose, make sure the influencers you find are big enough to provide real value to your brand — and that you’re paying a CPA that makes sense for your budget and overall goals.

Your 2025 Plan Should Be Evolving

Paid media isn’t about keeping up – it’s about staying ahead.

The industry is moving faster than ever thanks to AI tools, helping us rethink how we work, while privacy changes and new ad formats force us to refine how we connect with our audiences.

The days of “set it and forget it” are long gone. Today, success means constantly testing, tweaking, and evolving your strategy to meet the moment.

The good news?

These changes shouldn’t be seen as obstacles, but opportunities.

By embracing AI for ad creation, experimenting with emerging platforms, and creating a truly user-first experience, you’re not just keeping up with the trends. You’re setting yourself up to thrive in a more competitive landscape.

The bottom line: This is your chance to get creative, think strategically, and use every tool at your disposal to drive results.

Paid media is evolving, and so should you. Let’s make this the year you push boundaries, test boldly, and grow your impact like never before.

More Resources:


Featured Image: TarikVision/Shutterstock

Microsoft Launches Multi-Format Campaigns for Audience Ads via @sejournal, @brookeosmundson

Following on the footsteps of Performance Max campaigns, Microsoft Ads launched multi-format campaigns for Audience Ads.

This new feature allows advertisers to create a single campaign that seamlessly integrates various ad formats, including native, display, and online video ads.

Upon its launch, multi-format campaigns for Audience ads are available globally and now the default selection when creating a new Audience ads campaign.

Benefits of Multi-Format Campaigns

The new campaign type comes with several advantages to advertisers, including:

  • More cohesive campaign management: You now only need one audience ads campaign for different ad formats across display, native, and video. Previously, you would’ve needed to set up different campaigns for each ad format.
  • Easier budget management: You can manage and optimize your campaign budget across the different ad formats all within one campaign.
  • Continued flexibility: The ability to create separate campaigns for different ad formats still exists, giving your account the flexibility it needs to optimize according to its goals.

How to Set Up A Multi-Format Campaign

In order to use multi-format campaigns, you need to choose a campaign objective of either of the following:

  • Drive conversions
  • Generate leads
  • Build brand awareness
Microsoft Ads goal selection during campaign creation.Screenshot taken by author, December 2024.

Then, you’ll choose “Audience” as the campaign type.

Microsoft Audience Ads selection.Screenshot taken by author, December 2024

During the campaign creation process, you can select the different types of ad formats. You can choose just one, or all three ad formats depending on your assets and your goals.

Setting up different ad formats in Microsoft multi-format campaigns.Screenshot taken by author, December 2024

After creating your first ad format, you’ll scroll down to the bottom and either select “continue” or “Save and create another ad” to create the additional ad formats within the same campaign:

Create multiple ad formats in Microsoft Audience ads campaign.Screenshot taken by author, December 2024

After creating all your ad formats, you’ll follow the remainder of the typical campaign steps, like:

  • Targets and locations
  • Budgets and bid strategies
  • Ad group settings

Create A More Cohesive Campaign To Drive Results

This update reflects Microsoft Ads’ commitment to evolving its platform to meet the needs of modern advertisers.

By offering a streamlined, flexible solution for combining ad formats, Microsoft makes it easier for advertisers to reach their audiences across diverse channels without the complexity of managing multiple campaigns.

It’s especially helpful for advertisers with smaller budgets that want to use Audience ads, but don’t have the budget to set up three different campaigns just to use each ad format.

For advertisers looking to maximize efficiency and deliver cohesive messaging across native, display, and video ads, multi-format campaigns provide an innovative solution.

Will you be giving multi-format campaigns a try in 2025?

GA4 Metrics Every Advertiser Should Pay Attention To via @sejournal, @timothyjjensen

While paying attention to metrics in ad platforms is crucial to the success of any online advertising initiative, you can’t ignore what users are doing after they click the ad.

Sure, you can measure the website conversions in your ad platforms, but what else are people doing on your site that could be informative to your campaigns?

Google Analytics can help you gain insight into the steps beyond the initial click, answering questions such as:

  • How much time are users spending on your landing page, and are they looking at other pages on your site?
  • How many paid users are coming to your site for the first time, and how many have previously been on the site before interacting with ads?
  • What other channels have led them to your site in addition to paid?
  • Are they watching the videos you’ve embedded in your site?
  • What percentage of users are adding items to their carts and not checking out right away?

In this article, let’s take a look at several key metrics in Google Analytics 4 (GA4) that can help with these questions and more.

Key Event Counts & Rates

Key events in GA4 correlate to what you consider your primary business success metrics. These will vary based on your goals but may include lead form submissions, online account creation, purchases, or event registrations, to name a few options.

Confusingly, while key events may match what you think of as “conversions” in other channels, GA4 currently reserves the “conversions” nomenclature specifically for Google Ads conversions tracked via a linked account.

Events are a core functionality in GA4, with every action a user takes on the site potentially correlating to an event (from page views to form submissions).

However, you should think carefully about what events actually matter to your business bottom line to be marked as a key event.

Additionally, the key event rate is another metric you should consider. When looking at the session level, you will notice what percentage of sessions resulted in a key event taking place.

GA4 Acquisition ReportScreenshot from Google Analytics, November 2024

When looking at key events, you have a few useful ways to incorporate them, including:

  • View event counts and event rates by channel and by source/medium. For instance, you can compare key event rates between paid search and paid social to see which is more likely to yield qualified visits.
  • Look at performance by landing page to see which entry points attract the users most likely to take action. Are there any pages with low session volume and high key event rates that may be worth promoting more?
  • Filter specific key events to compare which ones have the highest volume and event rates. For instance, if you offer both a demo request and a free trial, you can compare which drives the most interest from paid search vs. paid social.
  • Compare attribution models (Advertising > Attribution > Attribution Models) to see how many key events are attributed to each source and channel when using a last-click model vs. a data-driven one.
    •  Last-click attribution credits the key event to the last non-direct source by which a user arrived on the site.
    • Data-driven attribution distributes credit between sources based on your account’s prior data. Factors may include time between visits from various sources, number of interactions, devices, and more. While this is, unfortunately, a “black box” model on Google’s part, it will help to weigh more toward sources that may have influenced consideration when users visit your site multiple times before taking action.

General Event Counts & Rates

While not every event should be considered a key event, you should take the time to look at other events that can give clues to user engagement on the site.

If you’ve turned on Enhanced Measurement, you can see events for actions such as scroll activity, file downloads, outbound clicks, and video interaction (for embedded YouTube videos).

While the specific application of these events will vary based on how your site is set up, here are a few ways they could be used in your analysis:

  • Determine if it is worth including an embedded video on your landing page. Are people watching the video, and if so, how far are they viewing on average? Additionally, are users who watch the video also more likely to submit a lead form or complete a purchase in the same session?
  • Weigh the importance of content below the fold on your landing page. Are a decent percentage of people bothering to scroll, or are most just viewing what is immediately visible when reaching the site?
  • Assess the value of downloadable content. If you’re offering a PDF such as an ebook or spec sheet, what percentage of people are clicking to download it?

To take these out-of-the-box events a step further, you can also set up custom events for more advanced tracking.

Ecommerce Metrics

For those promoting ecommerce sites, GA4 offers a robust set of metrics that allow you to analyze the full path of purchase behavior.

Once you’ve set up your site to incorporate ecommerce events, you can view them in Reports under Life Cycle > Monetization or Business Objectives > Sales. (Note that GA4 still displays the Life Cycle Collection instead of Business Objectives as default in certain circumstances.)

GA4 Ecommerce ReportScreenshot from Google Analytics, November 2024

Here are a few important metrics you should be paying attention to:

  • Transactions: The total number of purchases
  • Revenue: Get an idea of the income from on-site purchases, and use it to calculate return on ad spend (ROAS).
  • Add to cart: Understand how many users are expressing enough interest to add an item to their cart, and look at abandonment rates during the checkout process.

Engagement Metrics

GA4 introduced new metrics to assess how much interest users are showing while on your site, offering a more robust approach to measurement than the much-maligned bounce rate that was omnipresent in previous reporting.

In order to qualify as an “engaged session,” a session needs to last longer than 10 seconds, include two page views or screen views, or have a key event fire.

GA4 Engagement OverviewScreenshot from Google Analytics, November 2024

Looking at engaged sessions in addition to total sessions will offer a more accurate picture of how often people spent at least enough time on the site to absorb some of the content vs. immediately leaving.

The engagement rate will show you what percentage of sessions fit the “engaged” criteria, offering clues as to which landing pages and sources will most likely drive qualified individuals.

Another metric is average engagement time, showing the average amount of time spent on the site either by session (visit level) or by user (individual level), depending on the report you are viewing.

Finally, you can view new vs. returning users to get an idea of which channels will most likely drive people to the site for the first time vs. those who have previously interacted with it.

Of course, note that these metrics aren’t perfect (with cross-device users and privacy settings complicating accuracy), but they can at least give you a rough idea.

Additionally, be mindful that channels, where you’ve focused more heavily on retargeting, will naturally drive more returning users.

Ad Platform Integrated Metrics

If you have a Google Ads account, you should link it to your GA4 account in order to automatically pass through metrics from your campaigns. This will offer more robust data than just relying on UTM parameters.

To ensure Google Ads data is flowing correctly, make sure you have admin access to the account, turn on auto-tagging, and link the proper Ads account ID to the correct GA4 property.

GA4 Advertising ReportScreenshot from Google Analytics, November 2024

You can see this data correlated with GA4 key events under Advertising > Planning > Google Ads.

If desired, you can import cost data from non-Google ad platforms and view corresponding metrics in the Planning > All Channels report.

GA4 Conversions ReportScreenshot from Google Analytics, November 2024

Additionally, the Advertising > Conversion Performance report allows you to select a Google Ads account and Ads-based conversions to view counts by various breakdowns. This lets you compare totals for these conversions from Ads vs. other channels.

As an added bonus, you can also see a few GA4 metrics directly within the Ads interface if you select the option to “Import app and web metrics” when setting up your link.

The % engaged sessions (the percentage of total sessions qualifying as “engaged”), events/sessions, and average engagement duration are the three available as of the time of publishing.

These can be useful to get a quick view of which campaigns, ads, etc., will most likely attract users willing to spend time on your site.

As a side note, you should not be overly concerned about matching up sessions and click totals perfectly. These can vary for a number of reasons:

  • A session is only counted when a page is viewed, and any previous sessions have timed out. By default, if a user goes back to the site within 30 minutes, they will still be within the same session.
  • A user could click and leave the site before the GA4 code has time to fire, in which case the click would be counted, and a session would not register.
  • Some types of Google Ads campaigns count clicks for actions that may not entail visiting a website. For instance, Demand Gen campaigns include clicks to open Gmail ads.

Start Analyzing Your Paid Traffic

Now that we’ve reviewed several important GA4 metrics, think about how you can apply this data when managing your PPC campaigns.

Understanding the metrics available to you is one important step in mastering GA4, but being able to segment data and understand context is the other crucial step.

Be sure to review these metrics both at the channel and source level, as well as for individual landing pages you’re pushing traffic to.

Wherever possible, incorporate takeaways from GA4 into your PPC reporting as well to show insight beyond the ad platform data.

More resources:


Featured Image: PeopleImages.com – Yuri A/Shutterstock

Insights From Microsoft Ads Partners: Copilot And PMax via @sejournal, @LisaRocksSEM

Microsoft released several updates on Copilot and ads in October this year.

Following that, at the recent Microsoft Advertising Partner Pulse meeting*, Microsoft dove deeper into the updates, including results of research, enhanced Copilot ad integration, and optimization best practices for Performance Max campaigns, among others.

These updates mark more steps forward in Microsoft’s effort to refine the AI search experience and integrate the ad platform into conversational search.

They provide businesses with a way to stay ahead in AI technology advancements while effectively managing their Microsoft Ads.

Consumer Perception Of AI Search Results

The updated Microsoft Copilot clearly separates organic content from sponsored ads.

Ads are now integrated into entire conversations during a session, rather than just appearing after the last prompt, aligning with their simplified design.

As Copilot enters its first year, Microsoft has taken a closer look at consumer perceptions of AI-driven conversational search, often referred to as “chat.”

Its latest study reveals a growing trust in chat platforms for search, offering insights into how this technology reshapes user behavior and expectations.

The research focused on U.S. consumers who have experience with a conversational search platform. It found that users view chat as both complementary and, in some cases, superior to traditional search.

Users particularly value the speed and relevance of chat results, finding the results easier to understand compared to sifting through traditional search results.

Key findings:

  • Trust in Generative AI: 38% of U.S. consumers report being “very trusting” of results from generative AI, while 50% of current Copilot users describe their trust level as “very trusting” or “completely trusting.”
  • High Engagement Levels: Among Copilot users, 50% engage with the platform multiple times per week, and 16% use it daily. This indicates that many users have moved beyond experimentation and integrated Copilot into their daily routines.
  • Accuracy Levels: 77% of users believe that chat and traditional search are equally accurate, with 38% finding chat results more precise for their needs.

Microsoft believes this shift marks a fundamental change in how people interact with search technology.

As traditional keyword-based search gives way to conversational queries, users like the more detailed and relevant results.

Consumer Perception Of Ads In Chats

Consumers are becoming more comfortable seeing ads in their chat experiences because the ads feel relevant and personalized.

According to Microsoft, the data shows:

  • Ad Recall: 38% of users recall seeing ads during their chat sessions.
  • Positive Sentiment: Of those who remember seeing ads, 75% reported that the ads had no negative impact on their experience. In fact, 42% noted that the ads improved their experience, enhancing their journey by providing useful and relevant information.

Why This Works

The success of ads in chats lies in their alignment with user intent. Chat users perceive these ads as being relevant to their searches.

This hyper-relevant targeting allows ads to blend seamlessly into the chat experience, earning trust and confidence in the results.

The Opportunity For Advertisers

As chat usage grows, so do the opportunities for brands to connect with consumers.

The research shows that a third of chat users already use these platforms to research products or brands they want to purchase. They also use chat beyond just researching products and brands.

Consumers are turning to chat platforms for a variety of tasks, including:

  • Finding recipes and meal ideas.
  • Planning trips and finding travel deals (17%).
  • Searching for gift ideas (19%).
  • Learning about health conditions.

The variety of use cases presents new opportunities for advertisers to connect with consumers at different stages of their decision-making journeys.

Because the ads are served based on sessions rather than individual queries, they can be more timely and relevant.

PMax Is The Best Performing Ad Format In Copilot

Looking at ad opportunities in Copilot, Microsoft’s data shows that Performance Max (PMax) is the top-performing format.

Ads within Copilot outperform traditional search ads in click-through rates (CTR).

Another critical metric is the rate of “quick click backs,” where users click an ad but quickly return because the landing page content didn’t meet their needs.

Microsoft found that Copilot ads result in fewer quick click backs than traditional search ads.

These performance benefits are attributed to the previously mentioned deeper engagement and conversational context in Copilot.

Why Performance Max Stands Out

According to Microsoft, Performance Max campaigns consistently outperform their other ad formats:

  • Responsive Search Ads (RSA): PMax delivers higher engagement compared to standard responsive search ads.
  • Shopping Campaigns: PMax shopping campaigns drive more conversions than traditional shopping campaigns.
  • Multimedia Ads: PMax shows with fewer quick click backs and more engaged users.

Microsoft highlights that this higher level performance comes from PMax’s ability to analyze the context of conversations within Copilot, serving more relevant ads.

Best Practices For Optimizing For Copilot In Microsoft Ads

Microsoft Ads recommends three key best practices to help advertisers maximize the potential of Copilot in the Microsoft Ads platform:

  • Use PMax for Maximum Coverage: PMax integrates assets and optimizes them across various formats, making it a good fit for reach, engagement, and conversions in Copilot.
  • “Optimize Once, Benefit Twice”: There’s no need to create separate campaigns for Copilot because it is enabled in existing search campaigns. Instead, Microsoft takes your optimized search campaigns and finds opportunities to display them within the Copilot chat experience.
  • Productivity with New Tools: To further improve campaign management and performance, Microsoft highlights the importance of using its latest tools, Performance Snapshot and Diagnostics, to get AI-powered insights and recommendations for the account.

The better the existing search campaigns are optimized, the better chance those ads will perform well in Copilot. Focusing on efficient search strategies now carries over to ads in Copilot.

Performance Max: Microsoft’s Best Practices For Setup And Optimization

Microsoft shared recommendations on how advertisers can get the most out of PMax, detailing deeper best practices for setup with key levers to drive better performance with advanced AI automation.

  • Audience Signals: These signals are crucial for directing the AI toward high-value prospects. Use tools like remarketing, custom audiences, and customer match, which provide signals and guidance to the algorithm.
  • Search Themes: These keyword-based signals provide important context to the AI, improving targeting accuracy and relevance.
  • Brand Exclusion Lists (Pilot): This feature, currently in testing, lets you exclude branded queries where you don’t want your ads to appear. It’s also useful for strategic targeting, such as avoiding competitor terms or focusing on conquesting opportunities.

Other areas to optimize for success include:

  • Budgets.
  • Bid strategies.
  • Goals and targets.
  • Web exclusions.
  • Assets.
  • Product feeds.
  • URL expansion.

Recommendations For Setting Up PMax Campaigns

To achieve the best results, Microsoft offered several actionable tips and outlined expectations for advertisers:

Time To First Impression

  • Retail campaigns typically show results within three days.
  • Non-retail campaigns may take up to four days.

Learning Period

  • Allow two to four weeks for the AI to fully optimize.

This phase requires patience and depends on factors like:

  • A conversion volume of 30+ in the past 30 days.
  • Conversion cycle length.
  • Industry type and seasonality.

Budget Recommendations

  • Allocate 25-30% of your Google Ads budget to Microsoft Advertising.
  • Provide two to three times the budget of historical standalone search campaigns for PMax to maximize effectiveness.

Best Practices

  • Ensure adequate budgets to avoid constraints.
  • Leverage audience signals and search themes for precise targeting.
  • Use the bid landscape tool to make informed decisions on target bids.
  • Strategically manage constraints like product or location focus during testing phases.

What’s Next For PMax

Microsoft continues to enhance PMax with new features on the horizon, including:

  • Goals focused on acquiring new customers.
  • Improved audience insight reports.
  • Expanded support for video assets.

Summary

Microsoft’s recent updates to Copilot and ad integration reflect a strategic push to redefine the advertising landscape with AI-driven conversational search.

With rising consumer trust in generative AI and enhanced ad relevance within chat experiences, businesses have an opportunity to connect with their audience in more meaningful ways.

Microsoft stands firmly behind Performance Max campaigns and their new AI tools to deliver efficiency and engagement in the ad platform.

By exploring these advancements, advertisers have the potential to stay ahead in an evolving AI ads ecosystem.

*All the data and information above are taken from the Microsoft Advertising Partner Pulse meeting in November 2024.

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Featured Image: Prostock-studio/Shutterstock

Google Product Studio Rolls Out To Additional Countries via @sejournal, @brookeosmundson

Google just expanded Google Product Studio, its AI-powered tool for creating better product images, to more countries.

Originally launched in May 2023, this handy feature is built right into Merchant Center Next, the revamped hub for managing product listings.

It’s a game-changer for small to medium-sized businesses (SMBs) and retailers looking to level up their visuals without breaking the bank—or spending hours in photo editing software.

What Is Google Product Studio?

At its core, it’s a tool that uses generative AI to help businesses enhance their product photos.

Whether you’re trying to grab attention in Shopping ads, make your images pop on organic search, or just keep up with competitors, this tool makes it quick and easy.

So, why should you care about Google Product Studio?

Well, let’s face it: consumers judge products by their visuals, and not everyone has the budget for professional photoshoots. That’s where Google Product Studio comes in, offering features like:

  • Background Removal and Replacement: Transform a cluttered image into a clean, professional-looking shot—or swap in a themed background for a seasonal promo.
  • Image Upscaling: Say goodbye to pixelated photos. Product Studio can upscale low-resolution images to make them shine.
  • Seasonal and Thematic Overlays: Want to add a holiday vibe or showcase a specific theme? It’s as simple as a few clicks.

Additionally, Product Studio now supports video generation, which launched just a few months ago.

These tools are especially useful for advertisers who need their listings to look polished without a lot of extra effort. Better visuals mean better click-through rates, which helps improve overall conversions and sales.

Where is Google Product Studio Available Now?

Until recently, Product Studio was only available in select regions, but this latest expansion means more merchants can now access it.

As of today, Product Studio is available in 15 new countries, including:

  • Czech Republic
  • Denmark
  • Finland
  • Greece
  • Hungary
  • Ireland
  • Mexico
  • New Zealand
  • Norway
  • Portugal
  • Romania
  • Slovakia
  • Sweden
  • Turkey
  • Ukraine

With this expansion, Product Studio is now available in 30 countries, which has already been made available previously to:

  • Australia
  • Austria
  • Belgium
  • Brazil
  • Canada
  • Germany
  • India
  • Italy
  • Japan
  • Netherlands
  • Poland
  • Spain
  • Switzerland
  • United Kingdom
  • United States

The Continued Expansion of AI

In a world where e-commerce competition keeps heating up, Product Studio is a lifeline for retailers who want to stay ahead.

Better images don’t just look good—they drive results. And with this expansion, more merchants worldwide can take advantage of Google’s AI magic to bring their product listings to life.

As e-commerce continues to evolve, tools like this make it easier than ever to keep up—and stand out.

Google expects to roll out Product Studio to additional countries in the following months.

Should You Be Bidding On Your Brand Keywords In 2025?

Paid search advertising has many arms.

Marketers spend years crafting strategies to drive results through Google Ads, Microsoft Ads, and more.

Of these many strategies adopted by brands and agencies, in my experience over the last 15 years, one topic that sits across every paid search strategy is brand bidding.

What Is Brand Bidding?

Brand bidding, in its truest form, relates to targeting keywords that relate to your (or your clients) business.

For example:

This is a screenshot of a Google search results page for the search query 'new balance'. The image shows a Google search ad at the top of the search results from the brand New Balance. There are 5 sitelinks showing below the ad and the Google Shopping listings on the right hand side are blurred out to highlight the Google search ad.Screenshot for search for [new balance], Google, November 2024

The most common keyword marketers will include in their strategy is the company name. But depending on search demand, there may be additional keywords that are included.

Such as:

  • Brand keyword + product.
  • Brand keyword + ‘address’.
  • Brand keyword + ‘customer service’.
  • Brand keyword + ‘returns’.

There is also an element of brand bidding focused on products/services that may not contain the company name.

Think Apple and the “iPhone” or Converse and the “Chuck Taylor.” These terms are most certainly brand keywords, just without the company name.

From a tactical standpoint, whether brands bid on their keywords or not is a decision made between the stakeholders involved.

However, since Google Ads was birthed in October 2000, this topic has been very controversial for several reasons.

Why Is Brand Bidding A Controversial Topic?

The controversy is rooted in a question that many brands or agencies will likely have been asked or have asked themselves, “Why should we pay for traffic that we can get for free through organic?”

This is a completely justified perspective on brand bidding, and if brands could guarantee that the Google search engine results page (SERP) would serve a single organic result – and no competitor ads when a brand term is searched – it would make the decision for and against much more straightforward.

However, times have changed, as have Google Ads campaign types and the way in which the SERP is delivered and used by searchers.

Brand bidding should be treated on a case-by-case basis, considering as many situational factors as possible, such as:

  • Competition.
  • Market penetration.
  • Keyword contextuality (a common case being a high volume generic keyword as part of your company name, e.g., “The Next Day Flower Company”).
  • Search demand.
  • Resellers.
  • Budgets.
  • Organic rankings.

It’s not always clear which path to take, but there are a host of reasons for and against.

What Are The Benefits Of Brand Bidding?

Strengthened Visibility

Serving a branded text ad on the SERP alongside your organic listings provides an additional link for searchers to click through to your site.

Let’s say you rank position one organically for your company name, have the knowledge panel displaying your company information, a text ad serving sitelinks alongside your review rating, and your company telephone number. The real estate you are maximizing on the SERP will serve as an authority for your brand.

Brand Protection

Being on the receiving end of competitor bidding is a common reason for marketers and agencies to activate their own brand campaigns.

Brands are free to bid on competitor company names and/or related keywords across Google, Bing, etc. This is a common strategy used by brands and agencies worldwide.

There are restrictions that forbid brands from including trademarked company names within ad copy, but outside of this, brands have free reign.

In my experience, there are a few reasons (among others) for why brands adopt this strategy:

  • Reactiveness when a brand spots a competitor bidding on their brand terms to get their brand back to position one as soon as possible.
  • Exploration to see whether the results-driven are in line with KPIs and if the incremental value is worthwhile.
  • Necessity as competitor bidding is common practice, and bidding on a brand is a requirement to ensure users can find your brand immediately in a busy SERP.

Messaging And Control

The organic listing served for brand queries contains a customizable title tag and meta description.

However, Google’s guidelines state that it will only use this if it is accurate and will often rewrite these and serve organic sitelinks.

By serving a branded search ad, the advertiser is given complete control over the messaging.

This is useful in many scenarios:

  • Poor organic rankings (e.g., not serving an organic listing for branded search, wrong page ranking above the homepage).
  • To instantly serve bespoke messaging for your branded ads (e.g., promotions, updates).
  • Combatting rewritten title tags and/or meta descriptions.
  • Creating bespoke sitelinks to direct users to different landing pages.

Click Costs

Context aside, brand cost-per-click (CPC) is likely cheaper than non-brand (generic keywords) as there is less competition, and your quality score will be strong.

Each industry (market and vertical) will have a different scenario in terms of how much a branded click costs.

Take Nike, for example. Its brand terms will be incredibly competitive as resellers, marketplaces, and affiliates will serve ads on the company name. However, a small ecommerce store might not have anyone bidding on its brand name.

With the typically cheaper click costs, bidding on branded keywords can be seen as a cost-effective strategy, but all other factors must be considered – a key one being the impact on organic performance.

Incrementality

This refers to driving better results overall by bidding on branded keywords than you would without, and is a very hot topic in PPC.

As with almost all arguments for and against brand bidding, the incremental gains driven through this strategy differ by brand.

Among other methods, turn-off experiments are common practice.

This is where marketers pause brand bidding for a treatment group while maintaining visibility for the control group to observe the impact of bidding on branded keywords.

Studies have shown that turning off brand campaigns can result in lower overall performance versus having brand ads live.

Others have shown barely any impact overall, with organic picking up the sales or leads that would have been driven through ads.

What is the best way to find out? Give it a test.

What Are The Drawbacks Of Brand Bidding?

Budget

Context plays a huge role (size of business, level of demand, market, etc.).

But aside from any incrementality testing – in a budgeting scenario at the very top level – spending money on brand terms that (to some degree) will be picked up through organic can be seen as an inefficient use of spend.

It’s not uncommon to see companies with huge levels of brand search demand cut their brand spend. eBay did this over a decade ago, and more businesses have followed suit since.

Freeing up this budget will impact brands with considerable online demand. For smaller brands with less search demand, it’s really a case of weighing up the savings and seeing how far this could go if it were to be reinvested into non-brand new customer acquisition.

Impact On Organic

If a searcher is looking for your company name and you have organic listings serving on Google, the chances are they know who your company is and will visit your company website (among other reasons).

By activating brand ads, the amount of traffic, sales/leads, and overall organic engagement will be impacted when the ad serves above the organic listing.

It really depends on the brand, team, goals, and key performance indicators (KPIs) in question to weigh up the impact of running brand ads on organic, and a good place to start is incrementality testing.

Existing Customers

In most cases, new and existing customers should be targeted separately for brand search.

Take ASOS, for example. Its brand traffic will be a mix of new searchers, existing customers looking to shop, existing customers looking to log in and send returns, speak to customer service, and more.

By not accounting for this within your strategy, efficiencies could be missed, and the budget could be spent on driving users to take actions that are not aligned with KPIs.

Different Takes On Performance Reports

Brand performance will almost always be stronger than traffic driven for searchers who are not aware of your brand.

Over the last 15 years, I’ve seen many accounts that blend together brand and non-brand performance in reporting, including shopping and Performance Max campaigns, which also serve brand queries.

In some cases, this is the lens that stakeholders want to see. But if a brand drives a large percentage of revenue/leads for a small percentage of spend, the overarching view of performance may look more preferable than it is from a new customer acquisition point of view.

Relationships (Particularly Resellers)

Brands who sell through resellers/marketplaces can often have a competitive auction for brand terms.

Mutual agreements can be a way to put structure in place, agreeing to not bid directly on the company name with the freedom to bid on brand + terms (e.g., brand + product), for example.

However, these agreements can be difficult to manage as many parties can be involved (resellers with in-house teams, new agencies onboarded into resellers, etc.).

As a result, the auction can become competitive, which will, in turn, drive up click costs and lower efficiency.

What Else Do You Need To Consider With Brand Bidding?

Performance Max

PMax is a consolidated campaign type offered by Google and Microsoft. This fully automated campaign serves across multiple networks, one being Google search.

This campaign can (and will) serve branded queries. I’ve seen brands report strong PMax performance many times under the assumption that it’s non-brand when, in fact, a high percentage of sales/leads are driven through their own brand searches.

There are controls in place to remove brand from PMax (account-level negative keywords, campaign-level negative keywords added via Google Support, etc.). However, if you want control, I’d recommend creating a brand search campaign and removing brand from PMax.

Broad Match

This Google Ads keyword match type allows your ads to serve on searches related to the meaning of the keywords you’re bidding on.

With this, as your brand falls under this category, the chances of your ads entering auctions for brand queries despite your keyword not containing your company name are high.

As with PMax (but a little easier to implement), you can remove your brand terms from your broad match campaigns with the use of negative keywords.

Alternatively, you could target brand queries through broad match with a comprehensive negative keyword strategy to ensure you are only allocating budget to brand.

The Semantics Of Your Brand Name

Let’s say your brand name contains a word + the product you sell, such as “123 designer handbags.”

When bidding on brand terms, you may see competitors in auction insights matching through broad and/or PMax for the term “designer handbags.”

This may impact your click costs, which can fluctuate over time depending on investment (e.g., brands increasing budgets across PMax during peak months).

Competitors may still bid on your brand terms directly, but others may pick these queries up through PMax or Broad, a key consideration for budgeting and planning.

So, Should You Be Bidding On Your Brand Keywords?

There isn’t a right or wrong answer, and claims that there is will likely be rooted in personal experiences.

Knowing which path to take ultimately comes down to context, and this path will change over time.

For agencies managing multiple clients, each brand should be treated on a case-by-case basis, and historical context is certainly needed.

For in-house marketing teams, the same logic applies but you likely have fewer brands to make the decision for.

The arguments for and against are there to guide you in your strategic decision-making.

The best place to start is by listing all considerations and questions, such as “What is our organic positioning like for brand?”, “How many resellers do we have and what brand terms are they bidding on?”, and “Do we have the budget?”

From here, whether you currently bid on brand and want to test incrementality, or if you’re interested in running a short stint and haven’t used this strategy before, ensure reporting is robust and that you are always testing.

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Featured Image: Sammby/Shutterstock