Cross-Channel Remarketing Campaigns: A Complete Guide via @sejournal, @brookeosmundson

In a perfect world, consumers would purchase after just one interaction with a brand.

The reality is, we don’t live in a perfect world.

Unfortunately, many brands believe that building the perfect campaign structure, having the neatest set of keywords, and writing the most brilliant ad copy is all it takes to bring in sales.

Let’s face it: When was the last time you bought something after being introduced to a product for the first time?

With everyone having multiple devices, it’s no wonder our attention spans are shorter than ever.

We go from work on a big screen to going home and watching another big screen – all while scrolling that little screen in our hands!

This is where cross-channel remarketing comes into play.

Cross-channel remarketing helps you reconnect with users across different platforms, giving you more chances to engage them and boost your results.

Whether you’re an experienced PPC marketer or just starting out, this guide will break down everything you need to know to create effective cross-channel remarketing campaigns.

We’ll cover key strategies and tips to help you build and refine campaigns that work.

What Is Cross-Channel Remarketing?

Cross-channel remarketing is the practice of re-engaging users across multiple digital platforms after their initial interaction with your brand.

Instead of limiting follow-up ads to a single channel, cross-channel remarketing spreads your message across various platforms such as Google Ads, Facebook, Instagram, LinkedIn, and even programmatic display networks.

This strategy ensures that your brand remains top-of-mind for potential customers wherever they spend time online.

Why Does Cross-Channel Remarketing Matter?

Customers don’t stick to one channel when browsing the web – and neither should your remarketing strategy.

Here are some compelling reasons why cross-channel remarketing is a must:

  • Extended Reach and Engagement: By using multiple platforms, you can reach a broader audience and reinforce your brand message more effectively.
  • Higher Conversion Rates: Remarketing users across different channels increases the likelihood of converting them, as they encounter your ads in various online environments.
  • Improved Personalization: Each platform has unique targeting options that enable you to tailor your message to specific audience segments.
  • Better Data Utilization: You can combine data from different channels to gain a comprehensive understanding of user behavior and campaign performance.
  • Enhanced Brand Recall: The repetitive yet varied exposure across multiple platforms strengthens brand recall, making it more likely for users to choose your brand when they’re ready to convert.

Are Multi-Channel And Cross-Channel Remarketing The Same Thing?

While the two may be similar, it’s important to distinguish the difference between the two.

Multi-channel remarketing means you’re targeting audiences across different channels. For example, a campaign that targets both Google Display and YouTube channels.

While they’re targeting multiple channels, they work independently from each other, with no communication between them.

Cross-channel remarketing, on the other hand, is on a whole different level where the channels are connected. It allows you to track and record interactions and better facilitate the customer’s purchase journey.

How To Set Up Your Own Cross-Channel Remarketing Strategy

Creating a successful, holistic cross-channel remarketing strategy involves a carefully thought-out approach.

Consider the following steps when creating your brand’s remarketing strategy:

1. Define Your Goals

Start by clearly defining what you want to achieve. Are you looking to drive conversions, build brand awareness, or encourage user engagement?

Establishing your primary and secondary goals will help inform your creative and targeting strategy across each channel.

Pro tip: Align your goals with the marketing funnel. For instance, use upper-funnel channels like display networks for brand awareness, and mid-to-low funnel channels like search and social for conversions.

2. Choose Your Platforms Wisely

Not all channels are created equal. The platforms you select should align with your audience’s online habits and the nature of your offering. For instance:

  • Google Ads: Great for search intent and display advertising.
  • Facebook and Instagram: Perfect for visually engaging campaigns.
  • LinkedIn: Ideal for B2B audiences.
  • Programmatic Networks: Excellent for scale and dynamic creative capabilities.

Choosing your platforms by industry is just as important. Make sure to select platforms where you know your audience is and meet them where they’re at. A few examples include:

  • Ecommerce: Google Display Network, Facebook, Instagram, TikTok, and programmatic platforms can showcase product images and shopping ads.
  • B2B Services: LinkedIn, Google Search, and remarketing through industry-specific platforms (e.g., Capterra) can yield high engagement.
  • Hospitality and Travel: Instagram Stories, Facebook video ads, and Pinterest can inspire users, while Google Search catches high-intent travelers.

3. Segment Your Audiences Accordingly

Audience segmentation is crucial for effective remarketing.

Create custom audience lists based on user behavior, such as site visitors, product viewers, or past customers.

Leveraging data from your CRM, website analytics, and ad platforms can help you segment audiences to tailor your messaging appropriately.

If you’re looking to advance your audience segmentation strategy, try these ideas:

  • Time-based Segments: Target users who have visited your site within the last 7, 30, or 90 days.
  • Interaction-based Segments: Retarget users who engaged with a specific feature, downloaded a resource, or viewed a video.
  • Customer Value Segments: Differentiate between high-value and lower-value customers to allocate budget efficiently.

How To Integrate Your Creative Strategy

A successful cross-channel remarketing campaign requires a cohesive, creative strategy, which is why creative deserves its own section here.

If you’re not sure how to get started with your creative strategy, use these steps below as a guide.

1. Maintain Consistent Branding

Ensure your ads across channels align with your brand’s voice and aesthetic. This consistency helps build trust and recognition among users.

It will be easier for users to recognize your brand after repeated exposure throughout different channels.

Here are a few visual consistency tips for your creative:

  • Use the same color palette, logo placement, and typography across channels.
  • Maintain a similar tone of voice in ad copy, even if the wording varies based on platform character limits.

2. Adapt Creative For Each Platform

While consistency is key, each platform has unique ad formats and best practices.

For example:

  • Google Display Ads: Use simple visuals and a clear call-to-action.
  • Facebook and Instagram Ads: Leverage video and carousel formats for higher engagement.
  • LinkedIn Sponsored Content: Focus on professional, insight-driven content.

This doesn’t mean you need to completely recreate the wheel (no pun intended) for each creative asset by platform!

By following the same set of branding and principles, you can easily adapt your creative to each individual channel with these simple tips:

  • Static Images vs. Video: Use eye-catching images for static ads and short, engaging videos for platforms like Instagram and TikTok.
  • Interactive Elements: Use carousels or polls on platforms like Instagram to increase user interaction.

3. Use Dynamic Ads

Dynamic ads automatically personalize ad content based on users’ past interactions.

This tactic can significantly improve performance, especially in ecommerce campaigns where product recommendations are key.

The two biggest benefits of dynamic ads are personalization and scalability.

With a personalized experience, users are more likely to engage with ads that display items they previously viewed or added to their cart.

Additionally, with dynamic ads, it’s easier to scale personalization without needing to create hundreds of unique ad creatives.

How To Track And Measure Success

Tracking cross-channel performance is essential to refine your strategies over time.

In order to monitor and measure your campaigns effectively, follow the steps below.

1. Implement Unified Tracking

Ensure you have comprehensive tracking mechanisms in place across all channels.

Using tools like Google Analytics, Tag Manager, and platform-specific pixels allows you to gather insights into user behavior and conversion paths.

A great unified tracking tool to implement is Google Tag Manager (GTM). If you’re running ads on multiple channels, it really simplifies the process of managing tags into one cohesive solution.

Additionally, there are cross-channel attribution software tools that help you gain better visibility on how each channel contributes to overall performance.

2. Leverage Multi-Touch Attribution Models

Single-touch attribution (e.g., last-click) often fails to capture the full picture of user engagement across channels.

Multi-touch attribution models, such as linear or time-decay, give credit to all touchpoints within the buyer journey.

By default, Google Analytics 4 (GA4) uses the data-driven attribution model. This model uses machine learning and historical data to give credit to each marketing touchpoint that leads to a conversion.

Other attribution models available include:

  • Linear Model: Distributes equal credit to all touchpoints.
  • Time-Decay Model: Gives more credit to touchpoints closer to conversion.
  • Position-Based Model: Assigns 40% credit to the first and last interaction, with the remaining 20% distributed among the middle touchpoints.

Best Practices For Cross-Channel Remarketing

Optimizing your cross-channel campaigns is an ongoing process. It should not be seen as a “set and forget” strategy because there are so many underlying factors that contribute to stellar or poor performance.

Here are some best practices to get you started.

1. Set Appropriate Frequency Capping

Avoid overwhelming users by setting frequency caps to limit the number of times they see your ad within a specific timeframe.

In most platforms, impression capping is found in the campaign or ad group settings.

Additionally, some platforms offer more advanced frequency capping options by hour, day, or lifetime.

2. Align Your Messaging With The User Journey

Ensure your remarketing messages correspond to the user’s stage in the buyer journey.

A first-time site visitor might see an ad highlighting product benefits, while a cart abandoner could receive an ad with a discount code.

A very basic user journey messaging alignment example could be:

  • Top-of-Funnel (TOFU): Showcase educational content or brand stories.
  • Middle-of-Funnel (MOFU): Focus on product features, customer reviews, and case studies.
  • Bottom-of-Funnel (BOFU): Include promotions, limited-time offers, or free trials.
  • After Purchasing (Retention): Provide rewards for product reviews, refer-a-friend promotions, or affiliate messaging.

3. Monitor And Optimize Performance

Track key metrics such as click-through rate (CTR), conversion rate, and return on ad spend (ROAS).

Use A/B testing to find the best-performing creatives and make data-driven adjustments.

Some optimization tips include:

  • Rotate Creatives Regularly: Swap out ad creatives every few weeks to avoid ad fatigue.
  • Review Audience Overlap: Ensure that your audiences across platforms don’t overlap excessively, leading to inefficiencies.
  • Analyze Competitor Strategies: Use third-party tools to review competitors’ cross-channel strategies and adjust yours accordingly.

Cross-Channel Challenges And How To Overcome Them

Cross-channel remarketing success doesn’t come without its hurdles.

A few common challenges (and solutions) to consider when embarking on your cross-channel strategy:

  • Attribution Complexity: Determining which channel deserves credit for a conversion can be tricky. Use multi-touch attribution models to better understand how each channel contributes to user actions.
  • Budget Management: Distributing budget effectively across channels can be challenging. Regularly review your budget allocation and adjust based on performance.
  • Creative Fatigue: Users may grow tired of seeing the same ads repeatedly. Rotate creatives regularly to keep content fresh and engaging.

Cross-Channel Marketing Requires A Balance

Cross-channel remarketing is a powerful tool for engaging users and boosting your conversion rates.

By understanding your audience, diversifying your platforms, and optimizing your creative strategy, you can create a cohesive experience that guides potential customers from awareness to action.

Implement these practices to ensure your campaigns resonate with your audience and maximize ROI.

The reality is, cross-channel marketing requires a balance of strategy, testing, and monitoring.

Stay adaptable, keep an eye on what resonates with users, and be ready to refine your approach.

More resources:


Featured Image: Vitalii Vodolazskyi/Shuttestock

From Launch To Scale: PPC Budget Strategies For All Campaign Stages via @sejournal, @navahf

We tend to craft budgets based on major objectives and real-world business timing.

This makes sense, as our real-world priorities should influence where we put our marketing dollars and at what velocity.

However, many don’t take the ad platform mechanics into consideration when setting initial, growth, and lower priority budgets.

This can mean successful campaigns tank due to too much investment too quickly, or that previously successful campaigns don’t behave after a period of pausing.

We’re going to invest some time discussing:

    • The mechanics of budgets.
    • How much to invest at the beginning.
  • How to scale campaigns without tanking them.
  • How to preserve lower priority campaigns.

It’s important to note that this post will do its best to abstain from opinions on account strategy.

There are many paths to profit, and while I have strong data-backed feelings on which paths have a higher probability of success, the point of this post is just to look at budgets.

As such, I’ll be sticking with Google and Microsoft, though some of the points can apply to Meta, Amazon, and LinkedIn.

The Mechanics Of Budgets

Before we dive into the core topic, it’s important to establish a baseline of how budgets work.

Advertisers set daily, monthly, or lifetime of the campaign budgets. When you set a daily budget, Google and Microsoft will do their best to hit it as an average across 30.4 days.

For example, if you wanted to invest $2,500 per month in a campaign, you’d set a daily budget of $82.24.

While it’s possible for that budget to double (i.e., you could spend up to $164.48 in a given day) across the 30.4 days, it should still come up to $2,500.

If you want more control than that, you can use portfolio bidding strategies to include bid floors and bid caps.

portfolio biddingImage from author, November 2024

Bid floors (minimums) ensure you’ll bid enough to enter the auction.

These can be helpful when you know your budget is a bit low for the campaign targets, and there’s a real risk of Google/Microsoft underbidding to conserve your budget.

Bid caps (maximums) are safeguards against wild spikes in the auction that force you to bid more than you’re prepared to invest with a single click.

These spikes often happen when you’re going after expensive ideas and/or you’ve set a lower ROAS goal.

If you’re interested in a more detailed outline of bidding, you can check out this post that goes into it in depth.

How Much To Invest At The Beginning

Now that we have our baseline established, let’s talk about beginning budgets.

There are two main considerations when establishing a starting budget:

  • Is the account brand new, or are there existing campaigns that can give it a halo effect?
  • Does this campaign represent a test or a core part of my account?

We can debate the ethics of this, but brand-new campaigns in new accounts almost always cost more than new campaigns in established accounts. This is because ad platforms need data, and if you’re starting from scratch, you won’t have:

  • Account conversion thresholds.
  • Meaningful Quality Scores on your campaigns.
  • Established negative and placement exclusion lists.

I typically budget in at least 20% extra for all new campaigns in brand-new accounts for the first three to four weeks. This allows the campaigns to gradually build up their data and for me to eliminate waste.

Once the campaigns have begun bringing in conversions and they seem to be spending at an expected level, I’ll lower the budgets back down to the expected budget provided the following things are true:

  • The impression share lost to budget is less than 5%.
  • Stakeholders aren’t hungry for more volume and are happy with the current CPA/ROAS.

If the campaign is being launched in an existing account with at least 90 days of data and trustworthy conversions, I’ll set the budget based on the agreed-upon goals and value.

Before launching the campaign, it’s critical to have a conversation that includes the following information:

  • How many leads/sales are we currently getting, and where can that number grow without any operational change?
  • Will customers always be worth the same amount, or is the value dynamic?
  • Are there drastically different conversion rates based on how a customer engages, or are they essentially the same?

These questions will ensure you budget enough to get enough clicks in your day to get enough valuable leads for your conversion rate to kick in.

They also will help you keep your products/services organized by margins and serviceability, which will help mitigate conflicting goals that hurt budget efficiency.

Finally, it is important to acknowledge that testing budgets, while lower than normal budgets, still need to meet certain thresholds.

If your budget can’t fit at least 10 clicks in the day, it is likely setting itself up for failure because a 10% conversion rate is really good for non-branded search, and budgeting for fewer than 10 clicks in your day is banking on a better than 10% conversion rate.

How To Scale Campaigns Without Tanking Them

Once a campaign has proven itself, you might be tasked with finding a way to scale it. More money all at once is rarely the answer.

While there are instances where campaigns are performing great and the only thing “wrong” is impression share lost to budget, in most cases, big budget increases will result in increased CPCs and flat conversion lift.

This is because the budget added to high impression share campaigns will just allow the bids to be more aggressive.

If your campaigns have impression share lost to budget (at least 15%), it can make sense to add 5-10% increases every other week till you hit impression share lost due to budget of 5%.

You just need to be careful about learning periods if you’re using smart bidding.

Learning periods take five days to clear, and there is a correlation between their chaos and how young the account is. Essentially, the newer the account, the more conservative you need to be.

Optmyzr data on PMax getting access to budget when other campaigns are presnetOptmyzr data on PMax data when other campaigns are present or not. (Image from author, November 2024)

For campaigns with a more complete impression share, scale means looking at creating more demand or expanding into services/markets that didn’t make the budget cut before.

This could mean layering in Performance Max if you’re unsure how to build video and display campaigns. It could also mean new search or demand-gen campaigns. The core success measures you’re looking for are:

  • Does your original search campaign start to lose impression share due to budget (i.e., there are more people searching now)?
  • Are there new types of customers coming in (ways of searching, asking if your company can address them, etc.)?
  • Are your original campaigns maintaining CPCs/CPAs while starting to pull in increases in leads?

How To Preserve Lower Priority Campaigns

It’s inevitable that business priorities will fluctuate, and campaigns might need to relinquish budget.

However, there are some really important mechanics to keep in mind when deciding what to do with a low-performing/priority campaign.

If there is a chance you will ever want to run with it again (i.e., you’re testing something that requires you to take its budget), lower the budget to a non-spending amount.

This is because pausing campaigns for longer than one to two days can result in risks to their ability to perform again.

While higher-spending campaigns have an easier time mitigating this risk due to the volume of data they accumulate, there’s still a risk they will take one to three months to recover.

By lowering the budget to a non-spending amount and excluding the data from that campaign in the bidding settings, you’ll be able to mitigate the risk.

seasonality adjustmentsImage from author, November 2024

If you’re a seasonal business, you can use the seasonality options to help ad platforms understand why you spike your spends to help them prepare for the big uptick.

Final Takeaways

Budgeting is more than just coming up with a number you want to spend per month.

Marketers need to balance the mechanics with business goals to succeed. This means factoring in ad platform algorithms, as well as inputting brand data.

If you know that you need results quickly, be pragmatic about which channels you invest your budget.

On the flip side, if conversion efficacy is the issue, you may need to opt for the slower budget ramp.

However you approach your budgeting, know that there are always ways to safeguard it and direct it through targets and exclusions.

More resources:


Featured Image: BongkarnGraphic/Shutterstock

Google Ad Manager Launches Curation Capabilities For Agencies via @sejournal, @brookeosmundson

Just in – Google announces launch of new curation capability for agency advertisers.

The updates in Google Ad Manager are designed to streamline workflow, reduce complexity, and drive efficiencies for agencies.

These changes offer agencies new tools and capabilities to improve ad operations and campaign management.

Per Ginny Marvin, Google Ads Liaison, curation with Google Ad Manager is launching in North America, and will roll out globally early next year.

Here’s a breakdown of the key updates, along with insights on how they’ll impact agency operations moving forward.

The Launch Of Curation

In the recent blog post, Google announced the launch of their curation tool.

Google recognizes the challenge advertisers currently face trying to reach the right audiences across multiple networks and platforms.

With curation, agencies will be able to connect more easily with partners to find curated auction inventory packages, along with activating data segments within their agency Ad Manager account.

Agencies in turn can expect more accurate forecasted and increased match rates for audience targeting.

Another item rolling out with this launch is more billing efficiency.

Now, Google Ad Manager will handle billing and payments to data providers and inventory curators, which frees up admin time that would be spent creating separate invoices or different payment processes.

As of the announcement, curation supports the following:

  • Audigent
  • IAS
  • Liveramp
  • Lotame
  • Multilocal
  • Permutive
  • PrimeAudience
  • Scope3

More Streamlined Programmatic Buying For Agencies

Google Ad Manager already has a streamlined user interface for agencies to report and analyze campaigns across different DSPs.

In addition, Google has one central location for agencies to discover new deals, advanced forecasting capabilities, and packaged deals across participating DSPs.

Google states that agencies can negotiate directly with publishers to create a single deal ID that works across all their buying platforms. It’s currently available for Preferred Deals and Private Auctions through Display & Video 360 and Yahoo.

Per the announcement, support for Programmatic Guaranteed and other DSPs are coming in future months.

The Importance of These Updates for Agencies

PPC marketers are currently juggling multiple platforms, increased client demands, and tighter deadlines.

Google’s new Ad Manager curation tool hopes to help ease this burden, allowing agencies to operate more efficiently and keep the focus on driving value.

For PPC agencies, these updates come with tangible benefits and strategic implications:

  • Improved Client Relationships: With more insightful and customizable reporting, agencies can offer clients a more transparent view. This enhanced visibility can strengthen client relationships by building trust through transparency. When clients are better informed, agencies can demonstrate value more efficiently.
  • Increased Focus on Strategy Over Operations: Automation in inventory management, order creation, and billing processes allows agencies to shift focus from operational tasks to higher-level strategy. Agencies can now allocate more resources to developing creative and more impactful campaigns, ultimately driving better results for clients.
  • Scalability Made Easier: As agencies grow, managing a large number of campaigns across multiple clients becomes challenging. These new Ad Manager tools provide a framework that makes it easier to scale operations.

Final Thoughts

Google’s curation with Ad Manager represent a step forward in meeting evolving needs of agencies.

For PPC agencies, the ability to automate processes, manage inventory, and access enhanced reporting with greater flexibility can lead to improved results and stronger client relationships.

These tools allow agencies to focus on what matters most – driving impactful campaigns and delivering meaningful results.

Google Is Updating Its Customer Match Policy via @sejournal, @brookeosmundson

Google sent out an update to its Customer Match policy to advertisers yesterday, going into effect in January 2025.

Customer Match allows advertisers to use their first-party data to reach people across many different campaign types, making it one of the most valuable features available for brands.

The new policy change introduces new standards designed to protect user experience. Read on to learn more about the update and how advertisers can prepare for the change.

The Customer Match Policy Update

In its email, Google stated that advertisers who misuse Customer Match may have their access taken away.

Google Ads email to advertisers about Customer Match policy updates.

They cite items like:

  • Having the potential to cause harm to users
  • Creating a poor user experience

If advertisers receive repeat violation of these items, it could lead to an account suspension.

However, Google reiterated that account suspensions for violating Customer Match policies wouldn’t be immediate.

Advertisers will get a warning issued at least seven days before any type of Google Ads account suspension.

In the short email to Google Ads account managers, they were also clear on how they gather feedback for consideration of its Customer Match policy violations:

  • User feedback: Advertisers should expect Google to scrutinize feedback from users, especially if their ads receive negative interactions or reported concerns.
  • Prevalence or severity of abuse: Ads deemed abusive or misleading could lead to Customer Match restrictions.
  • Repeated violations of Customer Match policy: Consistent breaches of the policy will be grounds for account suspension.

This update is slated to go into effect on January 13, 2025.

What This Means For Advertisers

If you’re an advertiser who is using Customer Match for any Google Shopping campaigns, now is a great time to revisit how you’re collecting user data.

Below are a few examples to ensure you’re collecting user data within compliance policy:

  • Make sure you’re getting a user’s consent before collecting their email address (or any other type of data)
  • Check your targeting settings to ensure you’re not targeting anyone under the age of 18
  • Don’t overly personalize your ads and monitor user feedback
  • Educate your team to ensure everyone involved in managing Google Ads campaigns understands these changes.

Navah Hopkins from Optmyzr provided her perspective on the Customer Match policy, stating:

This email just went out to advertisers letting us know that Customer Match is a privilege, not a right.

This is a great reminder that these policies Google has in place is here to help us gain effectiveness in advertising. But if brands are caught misusing the policies in any way, it can be taken away at any time.

The upcoming policy change introduces new standards designed to protect user experience, which Google continues to emphasize as a priority across its platforms.

By focusing on relevance, quality, and compliance, brands can continue to leverage Customer Match without interruption.

PPC And Paid Media Budget Planning Tips for 2025 via @sejournal, @LisaRocksSEM

One of the most common questions in PPC management is how to determine the “right” budget and investment for campaigns.

As a business leader investing in paid media, your PPC budget isn’t just about how much you spend. It’s about how strategically you use those resources to grow your business.

For small to medium-sized businesses (SMBs) investing between $2,000 and $50,000 monthly, every dollar has to count.

In this guide, we’ll explore how to allocate your budget effectively across platforms, invest in paid media wisely, and adjust based on performance to achieve your marketing goals.

Determine The “Right” Budget

Each PPC advertising platform has its own sweet spot.

Google Ads can reach the widest audience, while LinkedIn works best for B2B companies, and Microsoft Ads can be more cost-effective for certain industries.

Knowing which platform works best for your business type helps you make smarter budget decisions.

Start small and grow smart by beginning with a lower budget to test what works, then increase spending on the platforms that bring you the best results.

As your business grows, you can invest more in the campaigns that are proven to work for you.

What Affects Your PPC Budget?

Industry Competition

Some industries naturally need bigger budgets.

For example, if you’re in legal, insurance, or real estate, you’ll typically need to spend more because the cost for each click (CPC) is higher due to strong competition.

Location And Reach

Are you targeting local customers or reaching across the country? Local businesses often can work with smaller budgets than those trying to reach national or international audiences.

Business Goals

What are you trying to achieve? If you’re generating leads or running an online store, you might need to spend more to test different platforms and drive sales. This is different from businesses just looking to build awareness.

Performance Goals Considerations

Before diving into specific budget allocations, it’s important to understand how we’ll measure success.

Two key metrics that can help us determine if our PPC spend is effective: return on ad spend (ROAS) and cost per acquisition (CPA). Both are a straightforward way to connect your ad budget with your profits.

ROAS is the ratio of the revenue generated by your ads to the amount you spent on those ads. It tells you how much revenue you’re generating for each dollar spent.

To ensure profitability, calculate your break-even ROAS and set a higher target ROAS to reach your profit goals.

CPA is the amount spent on ads to acquire a customer or lead. It helps you understand how much it costs to acquire each customer.

To ensure profitability, make sure your CPA stays below the revenue you generate from each sale.

How To Use ROAS To Set Your Budget

Using ROAS can help optimize your campaign budget to drive higher revenue, not just lower acquisition costs.

For example, if you spend $1,000 on ads and generate $5,000 in revenue, your ROAS is 5 (or 500%), meaning you’re making $5 for every $1 spent, indicating a highly effective campaign.

As a starting point, many businesses aim for an ROAS of 2 (or 200%), which means generating $2 in revenue for every $1 spent.

This typically covers both the Cost of Goods Sold (COGS) and the ad spend, allowing you to break even. Starting at ROAS of 2 gives you room to test, gather data, and optimize.

Once you’ve gathered enough data, you can raise your ROAS target to 3 (or 300%), meaning you’re generating $3 in revenue for every $1 spent. At this point, your campaign should be profitable.

Most of the ad platforms allow you to set ROAS goals to help optimize your campaign. Choose the “Target ROAS” bidding strategy, which automatically adjusts bids to reach your goal ROAS.

screenshot of Google Ads platform ROAS setting for an ad campaignScreenshot by author, October 2024

Avoid this mistake: Many advertisers rush to set aggressive profitability goals without enough data. The ad platforms will need time to optimize effectively.

For example, Google Ads recommends having at least 15 conversions within 30 days before setting a specific ROAS target.

How To Use CPA To Set Your Budget

Setting your budget based on your target CPA allows you to focus on controlling acquisition costs while still driving growth.

To calculate your budget using CPA, start by determining your target CPA and how many sales or leads you want to generate.

For example, if your CPA goal is $50 and you want 100 sales, you simply multiply the two to arrive at $5,000.

This means, you’ll need to spend $5,000 to acquire 100 customers at your target CPA of $50.

Starting with a reasonable CPA goal helps you control costs while gathering data. As you run your campaigns, you can refine your target CPA based on actual performance and adjust your budget accordingly.

Lowering your CPA slowly over time will allow you to generate more sales with the same budget.

Avoid this mistake: Don’t set a CPA that’s too low right out of the gate. Platforms need time to optimize, and starting with an aggressive CPA goal may limit the reach and data they need to make adjustments.

A good starting point is to align your CPA with your break-even point, then work toward lowering it as you optimize your campaign.

Budget Allocation And Reallocation

Allocate Budget To Best-Performers

For budget allocation, prioritize the best-performing campaigns across platforms.

This means, more budget for campaigns that are driving the highest return, whether they focus on branding, product promotion, or competitive positioning.

Regularly analyze performance and optimize spend based on which campaign type or platform is delivering the best results.

For example, you might allocate more budget to product-focused campaigns if they’re driving conversions, while reducing spend on branding campaigns if you have high brand recognition.

Competitive campaigns may get additional budget during critical sales periods to stay ahead of rivals. The key is flexibility to move your budget to where it will have the most impact.

Tracking And Adjusting Your Spend

When managing your budget across multiple months, it’s important to track what was actually spent versus what was planned. This ensures you can adjust and optimize future spend.

An effective way to do this is by maintaining a monthly spreadsheet or account report in the ads platforms. This will help you reconcile your planned budget with your actual spend.

If you underspend in one month (which can happen due to platform fluctuations or pauses in campaigns), you can reallocate that unspent budget to the next month.

Even small monthly shortages can add up over time. For example, if you budget $10,000 for a month but only spend $9,800, that extra $200 can be added to the next month’s or next quarter’s budget.

Reallocate any unused budget to future months, focusing on high-performing campaigns, channels, or key sales periods. This ensures every dollar is used effectively.

This table provides a simple example of how you can track and adjust your PPC budget vs. actual spend on a monthly basis.

Use this as a starting point to inspire creativity in developing your own system for monitoring and optimizing budget allocation.

Table showing a monthly PPC budget tracker Table created by author, October 2024

Daily Budget Setting

In most platforms, budgets are set at the campaign level, meaning each campaign will only spend up to its designated cap per day. The total across all campaigns should align with your overall account budget.

Begin by determining your daily budget. For example, if your monthly budget is $2,000, your daily budget would be $66 per day across the entire account.

This daily budget will also affect how many campaigns you can run simultaneously, as the $66 will be distributed across all campaigns. This can be a challenge for SMBs with a small PPC budget.

Keep in mind that both Google Ads and Microsoft Ads may occasionally exceed the daily budget to maximize results, but your total monthly spend should not exceed the daily budget multiplied by the number of days in the month.

AI Features For Budget Management

AI and automation can help make budget management easier. Here are a few key features that can simplify the process:

  • Smart Bidding: Automatically adjusts bids to maximize conversions or achieve a target return on ad spend.
  • Budget Recommendations: Many ad platforms provide budget suggestions based on historical campaign performance and goals.
  • Performance Max Campaign: Uses AI to optimize budget allocation across all of Google’s ad inventory (search, display, YouTube, etc.) to maximize conversions.
  • Target CPA: Automatically adjusts bids to help get as many conversions as possible at your set budget and desired CPA.
  • Target ROAS: Optimizes bids to get the most conversion value for your budget.

Looking To The Future Of PPC Budget Management

SMBs can expect to see some key developments in PPC budget management as the digital advertising landscape evolves. A few notable trends to keep an eye on:

Increased Automation And AI-Optimization

More advanced AI-powered tools will be released, enabling real-time adjustments to bids, budgets, and campaign strategies based on performance data. This will allow for greater agility and efficiency in budget management.

Focus On Lifetime Value (LTV)

Think about allocating budgets based on long-term profitability and customer retention, not just immediate acquisition costs. This will require sophisticated attribution modeling and AI tools.

Alignment With Broader Goals

PPC budget management is becoming more closely tied to overall marketing strategy and business objectives, driving greater cross-functional collaboration on budgets and spend.

By staying ahead of these emerging trends, SMBs can future-proof their PPC budget management. The flexibility and insights provided by these trends will be key to staying competitive.

Three Examples Of Budget Allocation For Paid Media Campaigns

These examples demonstrate how to allocate a paid media budget across various platforms, for example, industries, target audiences, and goals.

While these allocations provide a starting point, it’s important to remember that budget splits should be customized based on individual research, campaign needs, and past performance data.

The ratios suggested here are examples designed to illustrate how thoughtful planning can improve results.

Often, businesses split their budget evenly across platforms or prioritize a single platform like Google, then allocate a smaller amount to others.

Research and strategic planning based on platform reach, audience demographics, and campaign types available will ultimately drive the budget allocations.

Each scenario provides guidance that SMBs can easily apply to their own campaigns.

To maximize effectiveness, run a four- to six-week test, monitor performance, and adjust your budget allocation based on which platforms deliver the best.

1. B2B Product With $10,000 Per Month

For B2B companies, it’s important to prioritize platforms that effectively target professionals and decision-makers.

Here’s a recommended budget allocation for a $10,000 per month budget with platform rationale.

LinkedIn Ads: 40% ($4,000)

LinkedIn is the leading platform for B2B targeting, allowing precise targeting by job title, industry, and company.

Despite its higher cost per click, LinkedIn generates high-quality leads and builds thought leadership, making it essential for B2B campaigns.

Google Ads: 35% ($3,500)

Google Ads remains critical for capturing high-intent search traffic from B2B buyers actively seeking solutions.

This allocation focuses on search ads to ensure visibility for potential clients looking for specific products or services.

Microsoft Ads: 25% ($2,500)

Microsoft Ads offers a cost-effective way to target professionals, particularly through Bing.

It’s especially valuable due to its integration with LinkedIn data and less competitive ad space, which helps maximize ROI at a lower cost than Google.

2. Consumer Product (Auto, Recreational) With A $20,000 Budget

When marketing consumer products like cars or similar, visual platforms play a key role in storytelling and engaging potential buyers.

Here’s a budget split for a $20,000 monthly budget:

Google Ads: 40% ($8,000)

Google Ads is essential for capturing high-intent search traffic, especially from car buyers researching models and dealerships.

Both search and display ads ensure visibility throughout the buyer’s journey, from discovery to conversion.

YouTube Ads: 30% ($6,000)

YouTube’s video ads are ideal for showcasing cars through immersive content like test drives, feature highlights, and lifestyle storytelling.

This platform builds brand affinity by engaging consumers through compelling visuals.

Pinterest Ads: 15% ($3,000)

Pinterest excels at visual storytelling, making it perfect for engaging users during their discovery phase.

It helps inspire potential car buyers and captures users exploring future purchases, making it an effective top-of-funnel platform.

Microsoft Ads: 15% ($3,000)

Microsoft Ads offers a cost-effective way to reach an affluent, mature audience on Bing.

It complements Google Search by capturing additional leads at lower CPCs, particularly for big-ticket items like cars.

3. Ecommerce (Home Goods Retail) With A $30,000 Budget

For ecommerce businesses selling home goods type products, a balanced approach across search, social, and visual platforms ensures both discovery and conversion.

Here’s a suggested budget split to get started for a $30,000 monthly budget:

Google Ads: 35% ($10,500)

Google Ads is critical for capturing high-intent traffic through search and shopping ads.

Given a higher retail average order value, search ads target ready-to-buy consumers, while Google Shopping Ads showcase products with pricing and visuals, driving qualified traffic.

Meta Ads (Facebook & Instagram): 35% ($10,500)

Meta Ads are perfect for visually appealing home goods, using Facebook and Instagram’s dynamic ad formats to engage consumers.

Meta combines discovery, engagement, and direct conversions, reaching a broad but relevant audience of home decor enthusiasts.

Pinterest Ads: 15% ($4,500)

Pinterest is an ideal platform for home goods, where users often browse for home decor inspiration.

Pinterest Ads engage users at the discovery phase, driving top-of-funnel traffic with visually engaging content that inspires potential customers.

Microsoft Ads: 15% ($4,500)

Microsoft Ads complements Google with lower-cost clicks from Bing.

It helps target an affluent, purchase-ready audience and efficiently captures additional search-intent traffic, making it an excellent addition to your ecommerce marketing strategy.

Note: These suggested splits serve as examples to inspire a strategic approach to budget planning. These examples illustrate how to allocate your budget based on your target audience and campaign goals, ensuring that each dollar spent is driving results in the most thoughtful way.

Key Takeaways

  • Allocate Budget To Top-Performing Campaigns: Regularly analyze performance across platforms to focus your budget on campaigns that deliver the best results.
  • Reallocate Based On Actual Spend: Track your planned versus actual ad spending each month or quarter. Reallocate any unspent budget to the next month or high-performing campaigns to ensure efficient use of your resources.
  • ROAS And CPA: Use ROAS to measure how effectively your ads are generating revenue. Use CPA to control customer acquisition costs and optimize budget for growth.
  • Testing And Optimization: Begin with a four- t0 six-week test period to gather performance data and adjust your budget allocation based on which platforms and campaigns yield the best results.
  • Use AI Tools: Leverage AI features such as Smart Bidding and automated strategies to help manage budgets without constant manual adjustments.

More resources:


Featured Image: Vitalii Vodolazskyi/Shutterstock

AI-Enhanced Keyword Selection In PPC via @sejournal, @brookeosmundson

Let’s be honest – PPC keyword research can be tedious.

Sifting through search terms, analyzing performance data, and trying to predict what people will type into the search bar next feels like an endless puzzle.

This is where AI can enter the game.

This isn’t just about adding another buzzword to your marketing toolbox – AI can actually save you time and give you insights you might miss on your own.

In this article, we’ll explore how AI can take the grunt work out of your keyword strategy.

Whether you’re hunting for new keywords, optimizing your existing campaigns, or cleaning up your negative keyword lists, AI offers real, actionable solutions.

Let’s break down exactly how you can use AI to level up your PPC keyword game without the headaches.

Why AI Matters For PPC Keyword Selection

Before we jump into how to use AI to enhance your keyword strategy, it’s worth understanding why AI is a game-changer for PPC.

AI tools can process vast amounts of data faster than any human ever could. They identify patterns, analyze search behavior, and even predict trends, giving you insights that are both actionable and timely.

Instead of spending hours combing through search terms, competitor ads, or campaign performance reports, AI does the heavy lifting, allowing you to focus on higher-level strategy.

More importantly, AI tools learn and adapt over time, becoming smarter with each data point they analyze.

That means your keyword research and selection process becomes not just automated, but also continually improving.

Using AI For New Keyword Research

One of the most significant ways AI can enhance your PPC strategy is by discovering new keywords.

Traditional keyword research relies on manual tools and processes, but AI tools like Google’s Keyword Planner, other third-party tools, and AI-powered tools like ChatGPT’s keyword analysis capabilities take it up a notch.

These tools don’t just spit out related search terms – they can provide context, trends, and relevance scores based on real-time data.

How AI Tools Find New Keywords

AI-powered keyword tools analyze search patterns across millions of queries, detecting emerging trends, consumer interests, and semantic relationships that would otherwise go unnoticed.

For example, if you’re managing an ad campaign for a fitness brand, AI might detect an uptick in searches for [home workout routines for busy moms] or [low-impact exercises for seniors].

Even more powerful is AI’s ability to consider user intent.

AI doesn’t just give you a list of keywords – it provides context, predicting whether a user is more likely searching for information, looking to buy, or wanting to compare products.

This helps you create campaigns that align closely with user intent, which is critical for achieving higher quality scores, leading to better ad placement.

Tools And Tactics For AI-Driven Keyword Discovery

  • Google’s Keyword Planner (AI-driven recommendations): Google’s own AI-backed keyword tool not only suggests keywords but prioritizes them based on real-time search trends.
  • ChatGPT or Jasper for idea generation: These tools can help brainstorm new keyword ideas based on competitor campaigns, product descriptions, or industry trends. Just input your product or service, and these AI systems will offer insights on relevant keywords, often from angles you hadn’t thought of.

Adding Keywords To Existing Campaigns

Once you’ve got a solid list of new keywords, it’s time to put them to work.

AI isn’t just great at discovering keywords – it’s also incredibly useful for helping you refine your existing campaigns.

This is especially important if your campaign has been running for a while and might need some fine-tuning.

AI For Keyword Expansion

AI can help you intelligently expand your keyword lists by finding closely related keywords, synonyms, and long-tail variations.

For example, if you’ve been running ads for a local bakery using keywords like “best bakery near me,” AI tools might suggest adding longer variations like “best custom birthday cakes in pittsburgh.”

These expanded keywords help you reach more specific audiences who are ready to convert.

Leveraging AI For Semantic Keywords

Semantic keyword matching is another area where AI shines.

Unlike traditional keyword match types, AI doesn’t rely strictly on exact keyword matches.

Instead, it understands the broader meaning behind search queries, enabling you to target more relevant searches.

Google’s AI algorithms, for instance, now consider the overall intent of a search query, offering a more nuanced keyword match than we had a few years ago.

This makes adding keywords to your campaign not just about volume but relevance and intent alignment.

Optimizing Existing Campaigns With AI Tools

  • Google Ads Recommendations: Google’s built-in AI will continuously monitor your campaign and suggest keyword additions based on ongoing performance and search trends.
  • AI-Powered Keyword Expansion in Optmyzr: Tools like Optmyzr integrate AI and machine learning to suggest keyword expansions and bid adjustments in real time.
  • Microsoft Ads AI Integration: Microsoft’s platform offers AI-based keyword suggestions, making it easier to add or remove keywords from your existing campaigns, ensuring your ad stays relevant.

How AI Helps With Negative Keyword Selection

A successful PPC campaign isn’t just about the keywords you include – it’s also about the keywords you exclude.

This is where negative keywords come into play, and AI can help you refine your negative keyword strategy like a pro.

Common Mistakes With Negative Keywords (And How AI Can Help)

One of the most common mistakes PPC marketers make with negative keywords is not updating them regularly.

It’s easy to set a few negative keywords at the start of a campaign and then forget about them.

But search behaviors change, new trends emerge, and without adjusting your negative keyword list, you might start showing ads for irrelevant searches.

For example, a brand selling high-end outdoor gear might inadvertently show ads to people searching for [cheap camping supplies], which dilutes the brand image and wastes ad spend.

Another mistake is being too broad with negative keywords. While you want to exclude irrelevant searches, casting too wide of a net can accidentally block valuable traffic.

For instance, adding “free” as a negative keyword could prevent your ads from showing to users looking for “free delivery” or “free returns,” which are often associated with ready-to-buy customers.

This is where AI can step in and save the day.

AI tools can analyze search queries in real-time, identifying irrelevant traffic while being nuanced enough to avoid overly broad exclusions.

They allow you to add negative keywords that prevent wasted ad spend without cutting off relevant users.

AI can also spot trends in what kinds of queries lead to bounces or low engagement, helping you automatically refine your negative keyword list with precision, based on performance data.

Identifying Irrelevant Traffic With AI

AI excels at spotting patterns and trends that humans might miss.

By analyzing search terms that trigger your ads but don’t lead to conversions, AI can suggest negative keywords that will help you avoid wasted spend.

Let’s say you’re running a campaign for luxury watches, and your ads are being triggered by search terms related to “cheap watches” or “free watch giveaways.”

AI tools can analyze the performance of these search terms and suggest adding them as negative keywords.

AI can even analyze the context of negative keywords, understanding when a specific word or phrase is irrelevant in one campaign but useful in another.

This level of nuance helps ensure your ads aren’t being wasted on the wrong audience while still reaching relevant customers.

AI Tools For Managing Negative Keywords

  • Google Ads Search Query Report (AI-Enhanced): Google Ads provides search query reports, and its AI-powered suggestions will flag irrelevant search terms for potential negative keyword additions.
  • Custom AI Algorithms for Negative Keyword Mining: Some marketers are using AI tools like Python with machine learning libraries to automate the detection of irrelevant terms that are draining budgets.

Making AI Work For You: Practical Tips

While AI tools are incredibly powerful, the best results come from combining AI’s capabilities with human expertise.

Here are some practical tips for making AI-enhanced keyword selection work for you:

  • Regularly Update Your Keyword Lists: AI tools provide real-time insights, but the digital landscape is always changing. Review and update your keyword lists at least once a month to stay ahead of emerging trends.
  • Refine Your Negative Keywords Consistently: Just like with regular keywords, your negative keyword list needs to evolve. AI tools can help you keep this list up to date without much manual effort.
  • Experiment with Different AI Tools: No single tool will give you everything you need. Experiment with different AI-powered platforms to find the ones that best fit your workflow.

In Summary: AI As Your PPC Keyword Sidekick

AI is not here to replace PPC marketers – it’s here to make us more efficient, more strategic, and ultimately, more successful.

By leveraging AI to enhance keyword research, optimize existing campaigns, and refine negative keyword strategies, you can free up time for more creative and strategic tasks.

The key to success is combining the power of AI with your own expertise and instincts.

After all, while AI can analyze data, it’s the human touch that ultimately connects with customers and drives results.

So, dive into AI-enhanced keyword selection and start reaping the benefits of smarter, more efficient PPC campaigns.

More resources: 


Featured Image: Sammby/Shutterstock

Streamlining PPC Workflows With AI: How Efficiency Meets Effectiveness via @sejournal, @brookeosmundson

In the fast-paced world of PPC advertising, marketers are constantly seeking ways to streamline their workflows and improve performance.

Managing PPC campaigns efficiently requires a delicate balancing act of multiple tasks:

  • Analyzing data.
  • Optimizing bid strategies.
  • Testing creatives.
  • Reporting performance.
  • And so much more.

While AI and machine learning have been around in PPC for years, a new wave of AI tools for streamlining productivity and workflows has made its way into the PPC scene.

Whether it’s automating repetitive tasks, enhancing audience targeting, or analyzing vast datasets, AI tools are reshaping how PPC professionals work.

Who doesn’t want to save time doing repetitive, busy work tasks?

In this article, we’ll explore several unconventional ways AI tools can help PPC marketers save time, increase efficiency, and make smarter decisions.

Using AI To Automate Data Interpretation And Trend Insights

PPC campaigns can generate enormous amounts of data that need to be consistently analyzed and interpreted.

AI tools outside of the standard Google and Microsoft Ads platforms can help streamline this process by helping with tasks like:

  • Quickly summarizing key trends.
  • Look for patterns in performance data.
  • Identify any data anomalies for further analysis.

These insights can enable marketers to move from data to action faster.

Using AI Tools For Trend Identification And Insights

If you’d rather not manually sift through reports identifying changes in performance metrics changes, you can actually feed campaign data into ChatGPT (or similar AI tools) to receive summaries that highlight performance trends.

For example, they can help identify seasonal changes in performance or pinpoint potential issues, such as a sudden dip in conversion rate.

Say you run 20 different campaigns in Google Ads and start to see a significant drop in conversion rates from the platform. It can be daunting to immediately pinpoint the cause of the issue.

By processing raw performance data from your campaigns, these AI tools can quickly analyze the data and provide insight into not only where the problem(s) can lie, but also glean insights as to why performance has shifted, like:

  • Ad fatigue.
  • Increased competition.
  • A shift in consumer behavior.

Using AI tools in this capacity helps marketers cut down on analysis time while helping to identify core issues faster, allowing for quicker optimization.

This automation saves hours of manual work, enabling you to focus on more strategic decision-making instead of spending time analyzing large datasets.

Enhancing Competitor Analysis And Strategy Development

Keeping up with competitors is crucial in the PPC landscape, but the task at hand can be time-consuming and complex.

AI tools simplify this process by providing insights into competitors’ strategies, allowing you to stay one step ahead.

There are plenty of tools to help drive competitor insights, whether in the Google Ads platform, third-party tools, or AI tools.

If you’re looking to take the analysis a step further, you can input reports from other competitive analysis tools into ChatGPT (or a similar tool) to receive a quick summary that highlights a competitor’s recent actions.

For example, this could include information like:

  • Shifts in bidding strategies.
  • Introduction of new ad copies.
  • Keywords being targeted.

Based on this data, the AI tools can suggest ways to adjust your own campaigns or suggest counter-strategies to stay competitive.

By automating competitor analysis tasks, you can gain valuable insights faster, which allows for quicker, more informed decision-making and strategic actions.

Simplifying Multi-Account And Cross-Platform Reporting

Managing campaigns across multiple platforms – whether it’s Google Ads, Microsoft Ads, Meta, or others – means compiling huge data sets from different sources.

Trying to put together a compelling, holistic story about your marketing campaigns can take up a lot of time as you navigate from platform to platform.

This is where the power of AI tools can come in to help aggregate reports and create cohesive summaries.

Streamlining Cross-Platform Reporting

Multi-channel reporting is often a daunting task, especially when managing accounts across Google, Microsoft, and social platforms.

By inputting performance data from these platforms into ChatGPT, marketers can receive a single, unified report that summarizes key performance indicators (KPIs) across channels.

For example, say you manage several campaigns across Google Ads, Microsoft Ads, and Meta Ads.

Instead of switching between dashboards and manually pulling data, you can input the performance metrics from each platform into your AI tool of choice.

The tool can summarize the top-performing platforms, highlight underperforming campaigns, and suggest where to reallocate budgets to maximize ROI.

AI’s ability to consolidate multi-channel data helps reduce reporting time, enabling marketers to spend more time optimizing campaigns and less time on administrative tasks.

Keyword Research And Expansion With AI

Keyword research is at the core of every PPC strategy, and expanding keyword lists can be labor-intensive.

AI tools can make the process more efficient by identifying relevant keywords, negative keywords, and keyword variations that are often missed in traditional tools.

While tools like the Google Keyword Planner are great at providing keyword recommendations, AI tools can take it a step further.

They can generate items like long-tail keyword variations and help identify opportunities for new targeting strategies.

Additionally, they can analyze an existing keyword list and suggest related keywords that reflect user intent or emerging trends.

For example, say you manage PPC campaigns for an ecommerce retailer. You input a list of current top-performing keywords with your latest KPI performance data into your AI tool of choice.

From there, the tool can generate suggestions for new long-tail keywords that may have lower volume, but higher intent to purchase.

Additionally, you can ask the tool to suggest negative keywords to eliminate irrelevant traffic, which improves both relevance and cost efficiency.

To really kick this into high gear, you can then ask the tool to format these new keywords and negative keywords into a format that allows you to upload them into Google Ads Editor, saving you hours of manual work adding each one individually.

Using AI tools beyond the ad platforms can help marketers discover new opportunities faster, ensuring more comprehensive targeting with minimal manual effort.

AI-Assisted Testing And Creative Optimization

There’s no debate that A/B testing is critical to campaign optimization, but interpreting results and making decisions about the next steps is where most people fall flat.

Using AI tools to streamline this process can aid you in analyzing test data and suggest optimizations based on performance.

Say you want to test two different versions of a headline in a PPC campaign. You can upload your test performance data into an AI tool for analysis.

Not only will it summarize which headline performed better, but it goes a step further to help answer why one headline outperformed the other.

By providing insights into which elements contributed to success, it can save you time in the long run and help keep those driving factors top of mind for the next test.

AI For PPC Budget Allocation And Forecasting

Effective budget management is essential for optimizing PPC performance.

The ad platforms are great at automating tasks like changing daily budgets based on scripts, but what about strategic budget allocation decisions?

Using AI tools to assist budget allocation across campaigns or platforms by forecasting potential outcomes based on past performance data can streamline the process of deciding where to invest – and when.

For example, a retail client has an upcoming holiday sale and they want to know if they can expect a higher return than last year’s sale.

Inputting last year’s campaign performance into AI tools like ChatGPT can help analyze performance, while also taking into consideration current market trends.

The output could be to suggest how much of the budget should be allocated to high-performing keywords or certain product categories.

It can also provide a forecast of expected returns based on historical data, current CPC trends, and consumer behavior trends to help you make informed budget decisions ahead of time.

AI-driven budget forecasting helps ensure that resources are allocated to the right areas, reducing wasted spend and improving overall campaign performance.

Automating Market Trend Exploration And Forecasting

Market trends can shift quickly, and staying ahead of these changes is key to successful PPC campaigns.

AI tools can analyze search trends, consumer behavior, and historical campaign data to predict future shifts in demand and help marketers prepare.

For instance, AI tools can identify trends in consumer searches in real time, helping you adjust your campaign strategies proactively.

For example, you manage Google Ads campaigns for a fitness brand, and you’re noticing a seasonal uptick in searches for [home workout equipment].

By using AI tools to analyze Google Trends data, you can forecast how that demand will continue to rise or fall in the coming months, and even if certain geographical areas are driving the high demand.

This allows you to adjust bids based on location, increase overall budgets if necessary to help capture demand, and create relevant ad copy that speaks directly to the emerging trend.

Conclusion

AI is revolutionizing PPC workflows, allowing marketers to work smarter, not harder.

Whether you’re leveraging Google Ads’ AI capabilities, like Gemini’s conversational ad creation or integrating third-party tools for deeper insights, AI is becoming indispensable in managing and optimizing PPC campaigns.

From automating bid management and audience targeting to optimizing ad creatives and providing actionable insights, AI offers opportunities to boost efficiency without sacrificing effectiveness.

As AI tools continue to evolve, those who embrace these technologies will find themselves better equipped to deliver superior results, whether managing in-house campaigns or serving clients.

By integrating both Google’s AI features and powerful third-party tools, you can unlock new levels of performance, save time on manual tasks, and focus on strategy and innovation.

More resources:


Featured Image: 3rdtimeluckystudio/Shutterstock

Google Rolls Out AI-Powered Updates To Performance Max Campaigns via @sejournal, @MattGSouthern

Google Ads is enhancing its Performance Max campaigns with new AI-driven features.

These updates are focused on asset testing, video optimization, and campaign management.

The features arrive as advertisers gear up for the holiday shopping season.

Key Updates

New Asset Testing Capabilities

Starting in early November, retailers will gain access to new experimental features within Performance Max.

A key addition is the ability to measure the impact of supplementary assets beyond product feeds.

That means advertisers can measure the effectiveness of adding images, text, and video content to product-feed campaigns.

Google is also implementing Final URL expansion testing. This allows advertisers to evaluate whether alternative landing pages can drive better conversion rates by matching user intent.

Advanced Image Generation

Google is integrating Imagen 3, its latest text-to-image AI model, into the Google Ads platform.

This update aims to generate higher-performing visuals across Performance Max, Demand Gen, App, and Display campaigns.

The model has been trained on advertising performance data to create more effective commercial imagery.

Video Enhancement Tools

Google Ads is introducing automated video optimization features that include:

  • Automatic aspect ratio adaptation for different YouTube formats
  • Smart video shortening while preserving key messages
  • Granular control over enhanced video assets

These features roll out with built-in quality controls and opt-out options at the campaign and individual asset levels.

While most features are immediately available, video shortening for Demand Gen campaigns will launch in 2025.

Campaign Hierarchy Changes

There is a significant change in how Performance Max and Standard Shopping campaigns interact.

Instead of automatic prioritization for Performance Max campaigns, Google is introducing an Ad Rank-based system.

This new system determines which ads to serve when both campaign types target the same products within an account.

Improved Collaboration Features

Google is expanding shareable ad previews to Performance Max campaigns that include product feeds and travel objectives.

This simplifies the creative review process by allowing preview access without requiring Google Ads credentials.

Context

These updates demonstrate Google’s commitment to AI-driven advertising, particularly as businesses prepare for seasonal peaks.

This timely release suggests Google Ads is focusing on providing advanced tools for optimizing holiday marketing campaigns.

Looking Ahead

For advertisers currently using Performance Max, these updates provide new opportunities to optimize campaign performance with experimental features and improved creative capabilities.

The rollout starts immediately for most features. Specific tools, such as retail asset testing, will be available in early November, and video shortening for Demand Gen campaigns is expected to launch in 2025.

[B2C Marketers] 5 Tips To Drive More Revenue With Google Ads AI via @sejournal, @invoca

This post was sponsored by Invoca. The opinions expressed in this article are the sponsor’s own.

In today’s marketing world, AI is more than a buzzword — it’s a necessity.

Nearly 90% of marketers plan to increase their investment in AI this year, primarily focusing on boosting their Return on Ad Spend (ROAS).

If you’re not using AI to maximize your ad budget, chances are your competitors are, which could leave you behind.

But don’t worry — there are plenty of AI tools to help you get more from your campaigns, boost productivity, and drive revenue growth without spending more on ads. One of the most impactful marketing tools is Google Ads Smart Bidding.

In this post, we’ll break down five essential Smart Bidding strategies that can help you drive more revenue.

Want the tips without reading? Check out the video series >>>

We’ll also explore how pairing Google’s AI with a revenue execution platform can elevate your ad performance.

What Is Google Ads Smart Bidding?

Google Ads Smart Bidding is an AI-driven tool that automatically adjusts bids in real-time to help you hit your campaign goals.

Its strength lies in its ability to analyze patterns and trends far quicker than any human could.

By optimizing your budget and freeing up your team for other high-value projects, Smart Bidding helps you focus on what matters most: growing revenue.

5 Tips to Drive Revenue With Google Ads Smart Bidding

Want the tips without reading? Check out the video series >>>

1. Align Your Bidding Strategy With Revenue Goals

Google Ads Smart Bidding offers multiple options tailored to different campaign objectives. Choosing the right strategy depends on your specific goals and budget. Here are a few:

  • Maximize Conversions: This Smart Bidding strategy sets bids to maximize the number of actions taken by users, such as sign-ups, purchases, or form submissions. It is ideal if you want to drive more actions like form fills, sign-ups, or purchases.
  • Target CPA (Cost Per Acquisition): With the target cost per acquisition (CPA) strategy, you specify the amount you’re willing to spend to acquire a customer. Google Ads then automatically sets bids to achieve that desired CPA. This strategy is best for maintaining cost efficiency by acquiring customers at a specific price.
  • Target ROAS: The target ROAS strategy allows you to set a specific ROAS goal, and Google Ads adjusts bids based on expected conversion values. If maximizing revenue while maintaining a specific ROAS is your priority, this is your go-to strategy.
  • Enhanced Conversions: You can use Enhanced Conversions to optimize for specific actions or events that hold significant value for your business. This strategy leverages machine learning to predict and adjust bids based on the likelihood of driving valuable conversions, improving the overall return on ad spend, and enhancing the efficiency of your marketing campaigns. According to Google, marketers who use this strategy see a 5% average conversion rate improvement on Search.

The key is continuously monitoring performance and adjusting to hit your revenue targets.

2. Use Advanced AI Tools To Reach More Customers

Google offers new AI tools to take your Smart Bidding strategy to the next level, helping you expand your reach. You can pair these tools with your desired bidding strategy.

Here’s what they are and how they work:

  • Broad Match: Use this tool to capture a wider audience by covering related searches and synonyms. Craft a comprehensive keyword list, incorporating broad-match keywords to increase visibility and attract potential customers who may use different search terms. According to Google, marketers who use Broad Match in Target CPA campaigns see 35% more conversions, on average.
  • Performance Max: This AI-powered tool optimizes your campaigns across all Google networks (YouTube, Google Maps, etc.) and ad formats to maximize results. With Performance Max, the AI technology automatically adjusts bids to achieve the best possible results, making it ideal for driving conversions and optimizing ad spend across Google’s expansive network. According to Google, marketers who use Performance Max achieve 18% more conversions at a similar cost per action. By pairing Broad Match with your chosen Smart Bidding model, you can maximize your query coverage on Google search.

By combining Broad Match with Performance Max, you’ll significantly increase your reach and boost conversions.

3. Use Revenue Execution Platforms To Supercharge Smart Bidding

AI is only as good as the data it’s fed, and many marketers miss a crucial piece of the puzzle: phone call conversions.

This can be a significant problem, as our research shows that 20-50% of conversions come in over the phone in many high-stakes purchase industries like healthcare, home services, automotive, and telecommunications.

If you’re not tracking all of those phone call conversions, your Google Smart Bidding instance is likely underperforming. That’s because automated bidding tools track the number of conversions each ad variation drives and then optimize bids based on what’s performing best. If you’re not tracking the phone call conversions your ads drive, you’re not giving the tool a complete picture of your performance.

Illustration, Invoca, October 2024
Illustration, Invoca, October 2024

A revenue execution platform like Invoca allows you to track these call conversions and feed them directly into Google Ads. This enables Google’s Smart Bidding AI to optimize more effectively, ensuring your ad dollars are spent on what truly drives revenue.

Check out this video series, to learn more about revenue execution platforms.

Illustration, Invoca, October 2024

4. Optimize Retargeting With Rich Data Insights

Retargeting is an incredibly cost-effective way to drive more conversions, especially when you’re targeting people who have already interacted with your brand. To enhance your retargeting efforts, first-party data is key — and phone conversations are a treasure trove of insights that can be unlocked with revenue execution platforms like Invoca.

Phone conversations contain more insights than an online form fill ever could — when your customers call you, they tell you about their needs, preferences, and how to make them happy. Invoca’s AI analyzes these conversations at scale and mines them for insights. The beauty of it is that you can easily train the AI to capture whichever data points are most relevant to your business — for example, you can track products callers expressed interest in, if they were price-sensitive, and if they made a purchase.

Check out the graphic below to see more of the data points you can collect with Invoca:

Illustration, Invoca, October 2024

With these deep conversation insights, you can build more complete customer profiles and retarget leads with more relevant ads. Below are a few common examples of retargeting and suppression strategies marketers use with Invoca’s first-party data:

  • Retarget callers who didn’t make a purchase with ads for the products they mentioned over the phone.
  • Retarget callers who bought over the phone with ads for relevant companion purchases.
  • Retarget callers who expressed price sensitivity with ads touting a special discount code.
  • Suppress callers who bought over the phone from seeing future ads for that product or service.

5. Detect & Solve Call Experience Issues

Many marketers lose potential revenue because they aren’t aware of call experience issues—missed calls, long hold times, or unoptimized call scripts that don’t convert leads. You could be flushing good leads down the drain without even knowing it. Using a revenue execution platform, you get detailed reports on call handling and identify areas where improvements are needed.

Invoca shows you the total number of calls your Google Ads campaigns send to each location or contact center, the number of calls answered, the name of the agent who handled the call, the number of leads, and the number of calls successfully converted to revenue.

If you notice specific locations or contact centers have high unanswered call rates, you can collaborate with them to improve call routing procedures and staffing. If you learn that some agents have low phone call conversion rates, you can review their call recordings and transcripts to learn the cause and notify their managers to help them improve.

You’ll increase conversion rates and revenue from your Google Ads campaigns when you work with your contact centers and locations to correct these issues.

Below is a sample Invoca report showing call handling by location:

Illustration, Invoca, October 2024

Addressing these issues, from ensuring calls are answered promptly to refining sales scripts, can lead to better conversion rates and higher revenue from your ad campaigns.

By following these five tips and integrating a revenue execution platform, B2C marketers can fully take advantage of Google’s AI capabilities, driving conversions and revenue from every marketing dollar spent.

Ready to learn more about how Invoca’s AI-powered revenue execution platform can help you level up your marketing? Check out this video series to see how it’s done.


Image Credits

Featured Image: Image by Invoca. Used with permission.

In-Post Image: Images by Invoca. Used with permission.

Google Expands Travel Feeds In Search Ads via @sejournal, @MattGSouthern

Google has announced an expansion of its Travel Feeds feature for Search Ads.

This update allows hotel advertisers to directly include more detailed information from their feeds in search results.

A Google support page reads:

“When you link your Hotel Center to Google Ads, Google will automatically enrich existing Search ad formats with prices, images, and more to help drive better performance.”

New Capabilities

The expanded feature lets hotel advertisers display the following information in their ads:

  • Hotel details
  • Current pricing
  • Available dates
  • Customer ratings
  • Property images

Google notes that advertisers can:

“Use the same feed data already available in Hotel Center and used by travel advertisers in hotel campaigns to enhance more ad types.”

The hotel price and landing page are automatically sourced from your Hotel Center feed, with selections based on ad relevance, creative, and query.

Multiple designs are available as part of Travel Feeds in Search Ads.

Google provided some examples. Note, these are mockups only.

Screenshot from support.google.com, October 2024.

Potential Impact

According to Google’s internal data, advertisers using the full range of available formats have observed up to a 20% increase in click-through rates.

However, individual results may vary, and these figures have not been independently verified.

Implementation

Google will automatically display Travel Feeds in Search Ads after you Link your Hotel Center feed to a Google Ads account.

You can set feed sharing controls at the account and campaign levels.

Key points:

  • If you need a Hotel Center account, refer to Google’s Hotels starter guide.
  • Create subset feeds to link specific properties.
  • Use URL parameters to track clicks from travel ads.

Availability

Advertisers must have a Hotel Center account with a price accuracy rating of at least “Poor ” to use Travel Feeds in Search Ads.

The feature is currently available in 21 countries and supports 12 languages.

Looking Ahead

The expansion of Travel Feeds in Search Ads represents one of several recent changes to travel-related search results.

Google plans to test the Travel Feeds feature beyond hotels.

In the coming months, Google will include other travel-related categories such as attractions, car rentals, and events.


Featured Image: support.google.com, October 2024.