We’re Drowning in Data and Starving for Insight + Industry News and Insights
Field Tips is a biweekly email series bringing you the latest marketing trends and topics directly to your inbox. Covering everything from digital marketing and social media to content strategy and more, we curate the industry’s top stories and present them as easily digestible insights. The content contained within this post comes directly from our May 20, 2026 issue. If you’d like to receive Field Tips, subscribe to our email or on LinkedIn.
Every day, we hear about the next big technological shift, the newest AI integration and the endless streams of tracking numbers at our fingertips. But underneath all this cutting-edge tech, a fundamental truth remains: every bit of it still comes down to data and how it is interpreted.
And right now, we’re doing it wrong.
Marketers are drowning in metrics. In the rush to look data-driven, we’ve traded mathematical discipline for vanity dashboards. When was the last time you heard a marketing team discuss statistical significance before making a major strategy pivot? It doesn’t happen.
If we want our marketing to actually work, we have to start respecting the math again. Here are a few ways to ground your data strategy:
- Prioritize significance over speed. Stop changing your ad creative or email strategy based on a single afternoon’s metrics. Ensure your sample sizes are large enough to prove a pattern, not a coincidence.
- Beware of predictive promises. AI and forecasting tools are only as good as the historical information feeding them. Treat automated predictions as hypotheses to test, not absolute certainties.
- Focus on the “why” behind the “what.” Data overload happens when you track everything because you can. Narrow your focus to three core metrics that directly map to business growth and ignore the vanity clutter.
Feeling buried under endless dashboards or trying to figure out which metrics actually matter? Contact us or reach out to your account manager. We’d love to help you filter out the noise and find the real insights.
Google Makes it Easier to Spot AI Content
WHAT’S HAPPENING?
Google is building an AI-detection tool called SynthID directly into Google Search and Chrome. This tool uses invisible digital watermarks to track whether an image, video, or audio clip was made or altered by AI. Soon, you’ll be able to use everyday tools like Google Lens or Circle to Search on any website, ask “Is this AI-generated?”, and get an instant answer. To make this work everywhere, other big AI companies (like OpenAI and ElevenLabs) have agreed to use Google’s watermarks on their content, too.
WHY IT MATTERS
Hidden AI content is about to become a thing of the past. If your business uses AI to create pictures, videos or audio for ads and social media, you need to know that your audience will be able to see that it’s AI-generated with a single click. To keep people’s trust, brands will need to be totally honest about using AI and focus heavily on authentic, human-feeling content.
People Are Swapping Google for Social Search
WHAT’S HAPPENING?
A new report from Meta shows a massive shift in how people look for answers and products online. In the U.S., traditional Google searches have dropped by nearly 20% over the last year. Instead of Googling things, people are using Facebook and Instagram as their main search engines. They are looking for products while being entertained, mostly by watching short-form videos and looking at posts from everyday creators. Meta is also rolling out new AI features to make it even easier to search directly inside social apps.
WHY IT MATTERS
The line between search engines and social media is officially gone. People – especially younger buyers – don’t want a boring list of text links anymore; they want visual, entertaining answers from real people. If your business is only spending money to show up on Google, you are missing a huge chunk of your audience. You need to start making social media content that actually answers the questions your customers are asking.
The New Challenge of Measuring AI Search Success
WHAT’S HAPPENING?
Many big brands are trying to optimize their websites so that AI chatbots (like ChatGPT or Google Gemini) will recommend them. This is called Generative Engine Optimization (GEO). The problem is that companies are finding it almost impossible to measure if it’s actually working. Because AI tools usually just summarize information and don’t require users to click on links, old-school metrics like tracking website visits or direct clicks don’t work anymore.
WHY IT MATTERS
The old playbook for tracking web traffic is broken. If you measure your marketing success only by how many people click through to your website, your data is going to look bad even if millions of people are learning about your brand through AI summaries. Companies need to stop looking for immediate clicks and start looking at brand authority – meaning, making sure your brand is trusted enough to be cited as a source by AI models in the first place.
More to Explore
OpenAI Accused of Handing Over Personal Information to Meta and Google
A new class-action lawsuit in California claims that OpenAI has been sharing private user chats and personal details with Meta and Google using standard web tracking tools (like the Meta Pixel and Google Analytics). For marketers, it proves that even the newest AI tools are tied into the same old advertising tracking systems, and they are facing the exact same privacy scrutiny as any other website. Read more about this development on Futurism.
Google’s Guidance on AI Search is Naive and Self-Serving
Google recently updated its guidelines, basically telling marketers to ignore new AI-specific optimization strategies – like breaking content into bite-sized pieces for AI models – and just stick to traditional SEO. However, industry experts say this advice is self-serving. It completely ignores how rival platforms like ChatGPT and Bing find and summarize information. Marketers need to look beyond Google’s rules and learn how to optimize content for a world where people search across many different AI platforms. Read more about this critique on iPullRank.
Google Ads Costs Keep Rising, but Conversion Rates Improved in 2025
The average cost for a single click on a Google Ad jumped to $5.26, with prices rising across 87% of industries. On the bright side, actual sales and sign-ups (conversion rates) also went up to 7.52%. This shows that while ads are pricier, smart automation is doing a better job of finding serious buyers. For marketers, the days of cheap clicks are gone, making it crucial to clean up ad accounts, block irrelevant search terms and build great landing pages to protect your budget. Read more about these performance benchmarks on Search Engine Land.
Most genAI Users Reject AI Ads and Shopping Agents Alike
A new survey shows that nearly half (46%) of Americans who use AI assistants want absolutely nothing to do with ads in their chat feeds or AI bots that buy things for them. Consumers simply don’t want AI making financial transactions on their behalf. For marketing professionals, this is a clear sign that user trust isn’t guaranteed. If you are going to use AI or automated campaigns, you must ask for permission first and be completely transparent about how it works. Read more about these consumer preferences on EMARKETER.
5 Forces Shaping Health Insurance Marketing
The health insurance marketing world is changing fast due to tougher legal rules, patients using AI to research health options, and a growing demand for simple, digital communication. For marketers in this industry, staying ahead means moving away from boring, sales-pitch messaging. Instead, the focus must shift to building trust, educating members, and creating a smooth, easy-to-use digital experience. Download the report on Responsory.
About the Author
A prominent marketing strategist and nationally recognized thought leader, Grant A. Johnson is president and CEO of Responsory. He is a sought-after public speaker, direct marketing trainer, copywriter, award-winning author and the creator of Direct Branding℠, Responsory’s method for producing sure-fire measurable results.
