Beyond SEO: Why Search Data Is Powerful Market Intelligence Data via @sejournal, @torylynne

Marketers work with search data every day, but we’re greatly underutilizing its potential.

Let me explain.

Search data can tell us all kinds of things about markets, audiences, behavior, and preferences. It’s a source of intelligence that informs smarter, better, more timely business decisions beyond SEO.

In this article, I’ll introduce you to a different way of looking at “search data.”

We’ll talk about sources, which data to pull, and how to use it to arrive at powerful insights quickly.

What Is Search Data?

Search data is any data collected when a user searches a public website by entering a query string to find relevant information (products, information, or answers) from a library of different content (website pages, media) published from different sources (websites, creators).

When people conduct this type of search, they take direct action driven by a need. Put more simply, search data is “active demand.”

Looking at search behavior at scale unlocks a new way of gauging demand for whole industries, specific verticals, unique topics, individual brands, and beyond. This process is known as digital market intelligence.

What Is Digital Market Intelligence?

Digital market intelligence collects and analyzes thousands to (sometimes) millions of digital data points – from public, ethically sourced data – to get to the kind of insights that would traditionally require qualitative surveying.

Except that it’s a lot faster than surveying, and often, it’s more accurate because:

  • The data reflects real behavior from real people who are free from survey bias or influence.
  • It collects vast data sets in mere days (versus weeks or even months), ensuring timeliness and relevance.
  • Data sets contain significantly more data representing huge swaths of the population (versus a small survey sample).
What is digital marketing intelligence?Image from Gray Dot Co, October 2024

Search data is one of the primary inputs in digital market intelligence because it provides an abundance of real user behavior data at an extremely low cost.

Note: DMI is most effective when looking at established industries with a meaningful digital footprint – it doesn’t work for everything!

Where Do We Get The Data?

When most of us think of “search data,” we think of Google data. And make no mistake, that’s a huge piece of the puzzle. Google is still a giant in the search game!

But more and more, people are looking outside of Google for information. In fact, some data sources name TikTok as the world’s largest search engine for Gen-Z users — not Google.

So, when we talk about search data, we’re still talking about Google and other search engines.

But we’re also stepping out of the silo and acknowledging that sources like YouTube, Pinterest, TikTok, etc. are sources where users exhibit active demand.

The datasets from each are extremely valuable for digital market intelligence because we can tap into them at a marginal cost via APIs, platform-specific reporting tools, and third-party tools.

(For a lot cheaper than traditional consumer insights work!)

  • Google Search Console.
  • Google Ads.
  • Youtube API.
  • Google Trends.
  • Third-party tools like Semrush or Ahrefs.
  • Pinterest.
  • TikTok.
Where to get DMI Demand dataImage from Gray Dot Co, October 2024

Which Search Data Is Meaningful?

Now that we’ve established where we’re actually sourcing the data, what are we pulling?

Metrics we work with day in and day out are the raw inputs for calculations that answer big business questions:

Search Metrics for DMI measurementImage from Gray Dot Co, October 2024
  • Keyword volume quantifies how often people actively look for products, information, or brands at any given time.
  • Hashtag volume measures how much of the content landscape is saturated by a given topic or brand.
  • Keyword intent identifies where people are in the customer journey, plus common behavior and language at different funnel stages.
  • Competitor research compares demand for brands apples-to-apples, plus how much demand each captures in the landscape.
  • Historical trends create a clear snapshot of shifts in demand to illustrate the trendline for any topic area over time.

What Can Search Data Tell Us About The Market?

Digital market intelligence can answer a lot of the questions marketing teams and even business leaders run into regularly.

Let’s take a look at some of the most common and illustrate how DMI can yield quick insights using search data.

Did The Market Grow Or Shrink YoY?

This is basically an exercise in summing active demand for the search terms that apply to your business or industry.

In a classic consumer insights sense, the size of the market is generally referred to as the Total Addressable Market.

To quantify TAM using search data, calculate the total keyword volume for the year across relevant search terms. You can source and export keyword volume at scale by using a third-party tool such as Semrush or Ahrefs.

Once you have your TAM total for both years, compare them to quantify the YoY difference. In terms of a calculation, it would look something like this:

[Total volume: Relevant keywords in year A] - [Total volume: Relevant keywords in year B] = YoY change in market size

Is An External Factor Having An Impact?

Your business tactics could drive a jump or drop in performance, but it could be something that’s out of your control altogether.

Leadership will want to know whether it’s the “tide” or something the “boat” (your marketing team) is doing.

Sometimes, the quickest and easiest way to tell is to turn to search data — specifically our often-overlooked friend, Google Trends.

For the sake of example, let’s take a look at a simple case of an external factor driving increased demand for a service. Specifically, did the Olympics drive an increase in the demand for gymnastics lessons?

We know that the Olympics took place between Jul. 26 and Aug. 11, 2024. Now, we need to know how searches for “gymnastics lessons” in this window compare to other periods of time outside of the Olympics.

Screenshot of Google Trends, looking at the changes over time for interest in gymnastics classes during the OlympicsScreenshot from Google Trends, September 2024

It’s clear from the data that there was a significant increase in interest in gymnastics lessons during the Olympic window.

We see a much smaller increase during the window of the 2020 Olympics (Jul. 23 – Aug. 8, 2021), but we can probably attribute this to COVID-19 and related restrictions/behaviors.

This type of insight isn’t just valuable for gauging whether the industry tide affected performance.

It’s also invaluable for determining when to lean into specific products, information, or trends through levers such as increasing paid spend, launching social campaigns, or shifting the overall marketing mix to meet the moment.

How Does Demand For Our Brand Compare?

Search data allows us to compare active demand for Brand A to active demand for Brand B to answer this age-old question.

For this exercise, pull keyword volumes for any queries that contain Brand A’s name in the string. Then, do the same for Brand B over the same window of time.

Add the keyword volume for each respective brand to come up with the brand total. Then, calculate the difference to understand how they stack up.

[Total volume: Brand A branded KWs over X months] - [Total volume: Brand B branded KWs over X months] = Difference in active brand demand

Are We Visible Enough To Drive Awareness?

The search landscape is one big conversation. “Share of voice” can tell you how much of the conversation the brand is actually participating in.

This measurement takes the total keyword volume a brand is competing for as a percentage of the total volume of possible, relevant keyword opportunities for the brand.

Since only 0.44% of users visit the second page of search results, start by identifying keywords where a brand ranks on page one (either traditional placement, featured snippet, or AI Overviews). Because if it’s not on page one, a brand isn’t actually competing in most cases.

Calculate the aggregate volume for these keywords, divide it by the total volume across all relevant keyword opportunities (regardless of ranking), and multiply by 100.

( Brand-eligible keyword volume] / [Landscape keyword volume] ) x 100 = [% Share of Voice]

It Starts With A Simple Shift In Perspective

Looking at familiar numbers in new ways starts to unlock business-critical narratives.

And it doesn’t stop with search data!

Data from social media platforms and forum sites hold their own unique opportunities to understand markets even more through the lenses of engagement and consumer behavior.

Step one is making the mental shift from search data to demand data.

It’s a subtle shift that can take us out of our siloed way of looking at data. Breaking down those walls is the key to making digital market intelligence work for you.

Go forth and find those illuminating answers — at the speed of modern business.

More resources: 


Featured Image: ImageFlow/Shutterstock

Handy Chrome Extensions for Google Analytics

Google Analytics 4 can be confusing. Business owners and managers often struggle to understand it, in my experience.

Here are three third-party Google Chrome extensions to create GA4 reports, add annotations, and access data quickly.

Create Reports

GA4 Fixer is a free extension that helps create useful GA4 reports. It offers the following pre-build reports to launch with one click:

  • Conversions: comparison of your key events.
  • New versus returning users.
  • Exit pages: The pages from which users most often leave the site.
  • Landing pages (organic search): Pages people land on after searching Google.

The extension enhances GA4 reports by adding:

  • % of the total.
  • Sticky headers (to see headers above numbers when scrolling).
  • “Click-to-copy” capability: Copy any value in a report by clicking it.
Screenshot of a GA4 Fixer report with multiple columns.

GA4 Fixer provides data on sessions, engagement, conversions, events, and more. Click image to enlarge.

Add Annotations

Automated Google Analytics Annotations GA4 is a freemium extension that adds notes to reports to correlate marketing and other changes with traffic.

It can also automatically import your ad campaigns from your Google Ads, Facebook, and Instagram accounts, create a new note when you publish an article, and annotate confirmed Google algorithm updates.

The tool offers a limited free version. Paid plans start at $39 per month with a free two-week trial.

Another Chrome extension — Google Analytics 4 Annotations – GA4 Notes — provides similar functionality.

Screenshot of an GA4 report with an annotation from Automated Google Analytics Annotations GA4.

Automated Google Analytics Annotations GA4 add notes to reports to correlate marketing and other changes with traffic. Click image to enlarge.

Quick On-Page Data

Page Analytics is a free Chrome extension to access traffic data quickly for any of your pages in the browser view. The on-page report includes:

  • Page views.
  • Scrolled users (people who scrolled down your page).
  • Average session duration.
  • Bounce rate.
  • Conversion rate.
  • Traffic sources.
  • Referral traffic sources.
  • Outbound clicks.

Page Analytics is a helpful time saver, as obtaining data for a single page in GA4 requires navigating through the interface with multiple clicks.

Screenshot of a Page Analytics screen with data.

Page Analytics provides extensive traffic data for any of your pages in the browser view. Click image to enlarge.

Making SEO Decisions With Confidence: A Guide To Data-Driven Strategies via @sejournal, @AdamHeitzman

In SEO, making strategic decisions without empirical data is like relying on luck for consistent results.

But how can you effectively harness data to guide your SEO efforts and ensure you’re not just shooting in the dark?

This comprehensive guide will show you how to leverage data for confident, results-driven SEO strategies.

The Power Of Data-Driven SEO: A Case Study

Let’s start with a compelling example. Glassdoor.com, before its sale to Recruit Holdings in 2018, had an impressive 29,500,000 in monthly traffic – almost entirely organic.

Screenshot from Semrush, September 2024

Their success wasn’t by chance; it was the result of a meticulous, data-driven approach to SEO.

In her 2017 presentation at a marketing summit, Dawn Lyon, vice president of corporate affairs, shared how they weaved data from different internet sources.

Weave the biggest web possibleImage from Dawn Lyon/Glassdoor, September 2024

Glassdoor’s strategy involved analyzing data from various internet sources to identify content gaps and create high-value, well-optimized content.

This approach led to over 200,000,000 backlinks from more than 200,000 websites, establishing their influence and authority in the online employment industry.

The takeaway? Glassdoor used data to identify valuable content assets and gaps, creating content that brought them closer to their prospects.

This data-driven strategy significantly influenced their rankings in search results for the online employment industry.

What Types Of Data Are Important In SEO?

Before diving into strategies, it’s crucial to understand the types of data that matter in SEO:

Each of these data types provides unique insights that can inform your SEO strategy.

The Importance Of Data In SEO

Data takes the guesswork out of SEO, allowing you to focus on what works based on empirical evidence. For instance:

  • Keyword research data helps you understand your target audience’s pain points.
  • Bounce rate data can help you address issues affecting user engagement.
  • Engagement metrics show which content resonates with your audience.

How To Use Data In Your SEO Strategy

Now, let’s explore how to implement data-driven strategies in your SEO efforts:

1. Define Clear Objectives For SEO

Start by setting SMART (Specific, Measurable, Achievable, Relevant, Time-bound) SEO objectives. This helps you navigate the volume of available data and prioritize key areas for your campaigns.

SMART goalsScreenshot taken by author, September 2024

2. Establish Baseline Metrics And KPIs

Identify KPIs that align with your objectives and establish baseline metrics to measure current performance. This provides a reference point for evaluating the impact of your SEO strategy.

SEO KPIsScreenshot from Semrush, September 2024

3. Understand User Intent

Analyze search intent behind keywords to effectively optimize your content. Use tools like Google Search Console to track click-through rates (CTR) for individual pages, which can indicate how well your content matches user intent.

4. Choose High-Opportunity Keywords

Identify “low-hanging fruit” keywords with significant search volume and low to moderate competition. Evaluate their business potential before targeting them.

Business Potential: keyword researchScreenshot from Ahrefs, September 2024

5. Gather And Analyze Your Website Data

Use tools like Google Analytics to track your website traffic and user engagement metrics. This data can provide insights into your search performance and help you identify areas for improvement.

6. Conduct Competitor Analysis

Identify your SEO competitors and analyze their strategies. Tools like Semrush can help you find keyword gaps and backlink opportunities.

Screenshot from SemrushScreenshot from Semrush, September 2024

7. Create A Data-Driven SEO Strategy

Based on your gathered data, create an informed SEO strategy. This should include:

  • Creating your ideal customer profile.
  • Targeting the right keywords.
  • Conducting a site-wide audit.
  • Creating a content calendar.

8. Double-Down On High-Performing Keyword Categories

Identify which keywords drive the most organic traffic and conversions on your site. Use Google Search Console to see which terms rank highest and attract the most click-throughs from search results.

If you use a rank-tracking tool, combine this data with Google Analytics to see how pages perform in terms of traffic, engagement, and conversions.

Once you’ve identified your best-performing keywords, expand your content footprint within these high-value areas.

For example, if “beginner yoga poses” is a top performer, consider developing content for related terms like “yoga poses for flexibility,” “yoga routines for beginners,” and “best yoga mats for beginners.”

These “content clusters” around a topic will help you capture more traffic from thematically related keywords and can increase your domain’s overall authority for that topic area.

9. Analyze What Makes Your Best Content Effective

Examine your highest-performing content to identify factors that make it engaging for users. Consider aspects like:

  • Word count: Is longer content performing better, or do users prefer concise information?
  • Tone of voice: Is a casual, conversational tone more effective, or do users respond better to a formal, authoritative voice?
  • Presentation: How does the use of headings, bullet points, images, and other visual elements impact engagement?
  • Originality: Are unique insights or original research driving more engagement?
  • Expertise demonstrated: How does the level of experience, expertise, authoritativeness, and trustworthiness (E-E-A-T) impact performance?
  • Call-to-action (CTA): Analyze the clarity and appeal of your CTAs. Are they driving the desired user actions?

Understanding which of these variables plays a part will guide you in crafting future content that might mirror the same success.

10. Eliminate Friction From Your Conversion Paths

Analyze which user journeys lead to the highest levels of conversions. Look for commonalities in these high-converting paths and aim to replicate these elements across your site.

11. Prioritize Core Web Vitals

Use Google’s PageSpeed Insights to evaluate your site’s performance across Core Web Vitals metrics. Implement recommended fixes to improve your site’s user experience.

12. Enhance Your Site’s Mobile Usability

With mobile accounting for about 63% of organic search traffic in the U.S., optimizing for mobile users is crucial. Use Google’s Lighthouse tool to test your site’s mobile-friendliness and implement necessary improvements.

13. Analyze Backlinks For More Targeted Outreach

Study your site’s backlink data to optimize your link-building strategy. Use this information to tailor your outreach strategy and target high-authority websites that are likely to find your content valuable.

14. Collaborate With Cross-Functional Teams

Communicate the value of SEO to all stakeholders and align it with broader business goals. Integrate feedback from various teams to improve your SEO workflow efficiency.

15. Monitor And Iterate

Remember, SEO isn’t a set-it-and-forget-it strategy. Continuously monitor your progress and be prepared to iterate based on new data and insights.

Tools To Find SEO Data

To implement these strategies effectively, you’ll need the right tools. Here are some essential ones:

  • Google Analytics: For traffic data and user behavior insights. GA4 provides detailed information about your website visitors, including their demographics, interests, and how they interact with your site.
  • Google Search Console: For keyword research and onsite data. Google Search Console shows you how your site appears in Google search results and can help you identify and fix indexing problems.
  • Ahrefs: For backlink data and competitor analysis. It offers comprehensive insights into your backlink profile and helps you identify link-building opportunities.
  • Semrush: For comprehensive competitor data and keyword research. It’s particularly useful for understanding your competitors’ strategies and finding keyword gaps.
  • Screaming Frog SEO Spider: For technical SEO data. This tool crawls your website to identify technical issues that could be impacting your search engine performance.
  • PageSpeed Insights: For Core Web Vitals analysis. It provides both lab and field data about page performance, with suggestions for improvement.
  • Lighthouse: For mobile usability testing. This open-source tool audits performance, accessibility, progressive web apps, and more.

Remember, while these tools provide valuable data, the real power lies in how you interpret and act on this information.

Regularly review your data, look for trends and patterns, and use these insights to continuously refine your SEO strategy.

Leverage Data For Decision Making

Success in SEO isn’t luck or magic. With the right data, you can make informed strategies that cut through the noise and achieve better results on the search engine results pages (SERPs).

Remember, SEO is not just about theory – it’s about implementation. The final step of your data-driven decisions is to put your strategies into action and benchmark against your previous performance.

By leveraging data as a foundation for decision-making, you can create more effective SEO strategies.

From capitalizing on high-performing keywords to enhancing mobile usability and optimizing backlink strategies, each data-driven action you take helps solidify your online presence and improve your rankings.

Stay analytical, stay informed, and let the data illuminate your path to SEO success.

More resources: 


Featured Image: Deemerwha studio/Shutterstock

Charts: U.S. Consumer Outlook Q3 2024

McKinsey & Company conducted its latest U.S. “ConsumerWise” survey of roughly 4,000 participants from late July 2024 through the first week of August. According to the survey, U.S. consumer confidence in the economy improved, rising to 41% from 33% in the prior quarter.

The data shows that increased optimism has resulted in a higher but cautious inclination to spend in most categories.

“Trading down” is changing the type or quantity of purchases for better value and pricing. McKinsey’s survey found that trading down among U.S. consumers continued, as did delays in purchases and using buy-now-pay-later plans.

The McKinsey survey asked participants whether they intended to splurge (increase in spending lavishly) in Q3 2024.

Charts: U.S. Retail Ecommerce Sales Q2 2024

The U.S. Department of Commerce publishes total quarterly domestic retail sales and ecommerce only. Newly published figures for Q2 2024 (PDF) show total retail sales of $1.82 trillion (a 0.5% increase over Q1 2024) and ecommerce-only retail sales of $291 billion, a growth of 1.4% over the prior quarter.

According to the DoC, ecommerce sales are for “goods and services where the buyer places an order (or the price and terms of the sale are negotiated) over an Internet, mobile device, extranet, electronic data interchange network, electronic mail, or other comparable online system. Payment may or may not be made online.”

Ecommerce accounted for 16.0% of total U.S. retail sales in Q2 2024, up slightly from 15.8% in the prior quarter.

The DoC reports U.S. ecommerce retail sales in Q2 2024 grew by 6.7% compared to Q2 2023, while total quarterly retail sales experienced a 2.1% annual rise over the same period last year.

Charts: Global Economic Outlook Q3 2024

Global growth will remain stable at 3.2% in 2024 and 3.3% in 2025 according to the International Monetary Fund’s July 2024 “World Economic Outlook” report, subtitled “The Global Economy in a Sticky Spot.”

The IMF updates its economic outlook twice yearly using a “bottom-up” approach, starting with individual countries and then aggregating into overall global projections.

Per the IMF, growth in the United States will fall from 2.6% in 2024 to 1.9% in 2025, reflecting a slower-than-expected start to the year. The euro region will pick up from 0.5% in 2023 to 0.9% in 2024 and rise to 1.5% in 2025.

The IMF projects growth in advanced economies to remain unchanged at 1.7% in 2024 and rise slightly to 1.8% in 2025.

Meanwhile, according to IMF estimates, growth in emerging markets and developing economies will decline marginally from 4.4% in 2023 to 4.3% in 2024 and 2025.

Per the IMF, the global consumer inflation rate, including food and energy, will fall from 6.7% in 2023 to 5.9% in 2024 and 4.4% in 2025.

Charts: How CIOs View AI

Roughly one-third of U.S. chief information officers believe technology is the primary force behind their companies’ success and growth, according to EY’s “2024 CIO Sentiment Survey,” conducted in March 2024, which provides insights on how CIOs of leading organizations are addressing challenges in pursuing a growth agenda in the age of generative AI.

The respondents were 500 U.S.-based CIOs from various industries, including consumer products and retail, healthcare, life sciences, advanced manufacturing and mobility, tech media, and telecom.

According to the survey, when CIOs adopt a more ownership role in digital initiatives, they can lead to notable gains.

In addition, CIOs anticipate that data analytics (43%) and IT and cyber due diligence (41%) will improve the transaction process owing to the use of AI.

The data also shows that many CIOs still view generative AI as in the pilot or proof-of-concept phases.

Moreover, revenue generation is the primary motivation for over 37% of CIOs for using generative AI, while 27% point to the technology to reinvent their business model. Roughly 19% claim that cost reduction is the primary AI driver.

Charts: Outlook of Gen Zs and Millennials 2024

Roughly 30% of Gen Zs and Millennials believe the economic situation in their countries will improve over the next year.

That’s according to Deloitte’s “2024 Gen Z and Millennial Survey” (PDF), published in May. Deloitte surveyed 14,468 Gen Zs (teenagers to late 20s) and 8,373 Millennials (late 20s to mid-40s) across 44 countries to explore their attitudes about work and the world around them.

While the data shows just over 30% believe their overall national economy will improve, many more believe their personal financial situation will get better.

In addition, per the survey results, Gen Zs and Millennials are willing to take action on environmental issues.

Moreover, according to the data, frequent generative AI users across both cohorts are likely to think the technology will improve their work/life balance and positively impact their work.

Charts: Global Ecommerce Stats and Forecasts

There are roughly 26.2 million ecommerce websites worldwide. That’s according to BuiltWith, which tracks 2,500 ecommerce technologies and attributes, such as spend, revenue, employee count, social media count, industry, location, and rank.

Per BuiltWith, the U.S. has 13.3 million ecommerce sites, the most of any nation.

According to Statista, ecommerce produced approximately 19% of global retail sales in 2023 and will account for about 25% by 2027.

In addition, Statista estimates Turkey will experience the most retail ecommerce growth worldwide between 2024 and 2029, with a compound annual rate of 11.6%. Also, with growth rates exceeding 11%, India and Brazil rank among the ecommerce markets with the fastest expansion rates in the world.

Moreover, according to Statista, by  2029 retail ecommerce in the United States will produce $1.88 trillion in revenue, although the projected annual growth will slow from 30.2% in 2020 to 4.7% in 2029.

How To Develop Great Data Studies – The 5R2 Roadmap To Great Data Story via @sejournal, @InsightNarrator

This edited extract is from Data Storytelling in Marketing by Caroline Florence ©2024 and is reproduced and adapted with permission from Kogan Page Ltd.

Part One of this book outlined the need for data storytelling, the benefits of data storytelling for the marketing function, and the prac­tical barriers that can get in the way of creating a great data story.

Part Two answers the question: ‘What do I need to do to create a great data story in practice?

The 5R2 roadmap has five key stages with expected outcomes, each supported by three practical steps.

Screenshot from datastorytellinginmarketing.com/toolkit, June 2024

Make It RELEVANT

A relevant data story must focus on the audience’s knowledge levels, needs and preferences and should include:

  • A clear premise that will generate a transformation in the hearts and minds of the audience.
  • A clear understanding of the context aligned to the audience’s needs.
  • A focused story that answers the killer question for the audience.

A relevant story requires strategic thinking skills to outline the story plan.

There are several benefits to this stage, including:

  • The opportunity to gain early input, collaboration and co-creation to feed into your story development.
  • A clear sense of purpose to keep your story development on track.
  • A chance to get nearer to right first time, thus saving significant iteration time at the later stages of your story development.

Make It ROBUST

A robust data story must stand up to scrutiny and should include:

  • A solid interpretation drawn from a range of reliable data sources.
  • A data-driven argument and recommendation based on accurate and up to date information.
  • An insightful point of view providing the audience with a ‘So what?’ and ‘Now what?’

A robust story requires strong analysis skills to surface and discover the key insights.

There are several benefits to this stage, including:

  • The opportunity to uncover new insights and ideas, rather than predictable findings.
  • A chance to draw out richer, nuanced insights that can give depth to your data story.
  • A sense of confidence in the credibility of your interpretation and recommendations.

Make It REFINED

A refined data story must provide a clear and compelling narrative and should include:

  • A story resolution that is synthesized and distilled into a key message.
  • A stress-tested story resolution that can drive real decisions and actions.
  • A compelling structure that makes it easy to follow the argument.

A refined story requires critical thinking skills to build a data story that is easy to follow and engage with.

There are several benefits to this stage, including:

  • The chance to pinpoint the specific ask the data story needs to get across to the audience.
  • A sense of confidence that your data story offers the audience solutions that are both commercially viable and practically feasible.
  • The opportunity to focus your audience on decisions needed or actions required, rather than all of their energy being used to understand the insights.

Make It RELATABLE

A relatable data story needs to enrich the insight message with an emotional connection and should include:

  • An empathetic understanding of the humans involved in the data story.
  • A personalized approach that speaks to the specific target audiences’ hearts and minds.
  • An engaging story flow that draws the audience in.

A relatable story requires emotional intelligence to create a story grounded in real life and enriched by human experience.

There are several benefits to this stage, including:

  • The increased likelihood of cutting through and resonating with the audience.
  • The chance to influence real results and meaningful outcomes.
  • A sense of confidence in your ability to integrate data, logic and emotion in your data storytelling.

Make It REMARKABLE

A remarkable data story must cut through the noise, land the message and provide a catalyst for action and should include:

  • An easy-to-follow and accessible data story presentation.
  • A range of digestible micro-content that appeals to a wide range of audience needs.
  • A storytelling delivery that is provocative and stimulates reflection and debate.

A remarkable story requires creative thinking and flair to execute a story that will stand out from the crowd and drive action.

There are several benefits to this stage, including:

  • The ability to keep a distracted audience’s attention.
  • The opportunity to drive further interest in your data story.
  • The chance to disrupt the status quo and move beyond default thinking.

To read the full book, SEJ readers have an exclusive 25% discount code and free shipping to the US and UK. Use promo code SEJ25 at koganpage.com here.

More resources: 


Featured Image: Visual Generation/Shutterstock