Digital marketing news and trends: September 2026

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Every month, our performance team pulls together the latest digital marketing news and trends across SEO, digital PR, paid media, social, AI and beyond. Then we separate the genuinely useful developments from the stuff that can probably stay buried in your LinkedIn feed.

Welcome to the Monthly Marketing Mash-Up for September 2026. This month, AI wants to review your Reels before anyone else gets the chance, Google Analytics is giving performance data some useful peer context, Meta is experimenting with audience signals at creative level, and Google Search Console has finally given marketers a better view of AI visibility. 

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AI can now critique your Reel before your audience does.

Most social teams only discover whether an Instagram Reel performs after it’s gone live. ReelTrends, an app built to help creators improve Instagram content, is trying to move that judgement earlier.

Its AI tools can review draft videos, recommend changes before publishing and predict how the content is likely to perform. You can also link existing Instagram Reels into the app for analysis, making it a useful extra layer of feedback around your content workflow. 

The more interesting opportunity is how tools like this can fit into an existing creative process. Instead of asking AI to churn out another 30 vaguely interchangeable posts, teams can use it to interrogate work they were already planning to publish. Is the opening strong enough? Does the edit drag? Is there a clearer hook? Could the idea be understood by somebody who doesn’t already follow you?

Used that way, ReelTrends becomes a useful sounding board, but the judgement still comes from people and the proof from how audiences respond. Explore ReelTrends’ current features.

The takeaway

AI is moving beyond content creation and into creative judgement, helping marketers understand what could work before anything goes live. That should make optimisation faster, but the final call still needs a human eye.

Google Analytics can tell you how your performance compares with similar

Performance data without context can cause some wonderfully unhelpful conversations.

Traffic is down 8%. Bad news? Perhaps. Or perhaps your whole category is down 15%, in which case you’re gaining ground. Numbers rarely arrive with the courtesy of explaining themselves.

Google is addressing some of that ambiguity by adding benchmarking to Ask Advisor, its AI assistant inside Google Analytics. The feature compares performance against anonymised averages from similar businesses, helping you understand whether changes in acquisition, engagement or retention are specific to your account or reflect a broader industry pattern.

That makes the feature useful beyond simple reporting. Instead of looking at performance in isolation, you can add peer context more quickly and make a better call on whether a dip, spike or trend needs attention.

There’s an important distinction, though. These are anonymised benchmarks, not named competitor data, so they’re best used as directional context rather than a definitive view of the market. Read Google’s announcement on Ask Advisor benchmarking.

The takeaway

Benchmarking gives marketers a quicker way to put performance into context. It won’t replace proper analysis, but it should make it easier to spot where your results are genuinely unusual and where the wider market is moving with you.

Meta is bringing audience signals closer to the creative

Meta is testing a new way for advertisers to tailor creative to different audience groups without splitting everything into separate ad sets.

The feature lets advertisers set age and gender preferences at individual ad level while keeping those ads within the same ad set. In practice, that means you could run different creative for different groups under one budget, rather than fragmenting campaigns purely to vary the messaging.

That could be useful for brands with clearly distinct product audiences. A fashion retailer, for example, could serve menswear and womenswear creative from the same ad set while still giving Meta a steer on who each execution is intended for.

The important caveat is that this appears to be audience guidance, rather than a hard targeting restriction. Meta can still optimise delivery beyond those preferences if its system predicts better performance elsewhere.

The takeaway

Meta is continuing to push advertisers towards broader, more consolidated campaign structures, while giving creative a bigger role in signalling who an ad is for. If that balance works, marketers could get more relevance without paying the usual price in audience fragmentation.

Also on our radar this month

• Google Search Console has rolled out generative AI reporting worldwide. The new report shows impressions from AI Overviews and AI Mode, with filters including URL, country, device and date. It gives SEO teams a clearer view of where brands are appearing in AI-powered Search, although it’s still a visibility metric rather than a complete traffic picture. Read Google’s Search Console guidance.
   
• Meta has introduced exclusion-only Custom Audiences. Advertisers can now create customer-list audiences that are only ever used for exclusion, helping keep existing customers, employees or other unsuitable groups out of acquisition campaigns. As Meta continues to favour broader Advantage+ targeting, this gives advertisers a little more control over where spend doesn’t go. Read more about Meta’s exclusion only audience.
   
• Google is testing links inside ad descriptions. Early tests show clickable words appearing within Google Ads copy, although they currently seem to send users to the same landing page as the main ad. Advertisers don’t have control over the feature yet, but it could influence how ad copy is written if the test develops further. See the test in action.

What does all this mean for marketers?

September’s updates point to a more practical phase of AI in marketing.

The conversation is moving beyond whether AI can create content or automate another task. The more useful question is whether it helps you make a better decision.

ReelTrends is pushing AI into creative evaluation. Google Analytics is adding more context to performance data. Meta is giving creative a bigger role in audience delivery. And Search Console is making AI visibility easier to understand.

The common thread is better judgement around increasingly automated platforms. The tools are getting smarter, but the advantage still comes from knowing what to do with the information they give you.

That’s where Attention to Digital™ comes in: understanding the detail, spotting what’s genuinely useful and turning it into better performance.

We’ll be back with another Monthly Marketing Mash-up next month. In the meantime, if any of these updates have raised a question about your digital performance, get in touch and we’ll happily dive into the details.