Tuesday, February 24

🌟 Today’s Highlights:

• Bing is testing a new UI for its Copilot AI responses

• X might be getting a better search experience soon

• Want to get more eyes on your expertise? Join this free workshop on Feb 24

• 📊 Stat of the Day: Median brand follower counts on TikTok rose by more than 200% year-over-year in 2025. (Source: Emplifi)

• 💡 Today’s Insight: Why every trend looks the same in a dashboard (until you zoom out)

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⚡️ Today’s Headlines ⚡️

🤔 Contacting Google Ads’ support just got very… committal. If you’re looking for help with your account, you might need to give a Google specialist permission to access and make changes directly inside your account before even submitting a help request.

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✨ Bing is testing a new UI for its Copilot AI responses. The new interface shows these link and references cards both inline and on the right. The move comes just after Google recently rolled out a new link interface for its AI Mode & AI Overviews.

🔎 X is almost done with rewriting its search code functionality. The move comes amid reports that X search has become less reliable in recent months. A new version of search could launch soon, rebuilt to help handle the latest challenges.

💡 Today’s Insight 💡

Why every trend looks the same in a dashboard (until you zoom out)

🗞 TL;DR - If you’re judging content and trends based solely on metrics dashboards, you’re not looking at the big picture. Viral spikes and compounding formats look identical in a dashboard, even though they’re not all built the same. Social media scheduler Later shows how you can better understand trend spikes and where you can find real growth.

💡 Insight - Why does every trend spike look the same? If you’re sorting “high-performing content” based on reach or engagement, you’ll notice three very different performance behaviors:

• short-term exposure spikes - trends that are hot for 24-72 hrs then decline)

• campaign-driven arcs - content tied to a launch, promotion, or moment, then decline

• compounding formats - recurring content types that build on retention signals like saves, shares, or repeat comments

All three can register similar numbers in the same time, but strategically they’re accomplishing different things and shouldn’t be treated the same.

What happens when you zoom out of the dashboard? You’ll notice the strategic nuances behind each spike. The trend posts show sharp lift and rapid decay, useful for exposure but not retention. The campaign content shows controlled rise and taper, and can be predictable if you know when to expect it. The evergreen formats show gradual, consistent improvement, especially in engagement signals pointing to audience quality.

As Later notes, “This is the difference between exposure and momentum. Exposure gets a post seen. Momentum builds an audience.”

So, how can you better identify opportunities for real growth? Start with a few intentional changes to your analytics dashboard:

• Assign internal tags to content categories before posting. This allows the data to be organized better (ex. trend play, evergreen, campaign, test) before it needs to be analyzed.

• Group instead of rank. Pull performance by content category across a 30–90 day window instead of looking at individual post rankings.

• Track the right signals. For trend evaluation, saves, shares, and repeat engagement should be weighed higher than reach as these are signals that indicate whether a trend is building or just making noise.

• Compare format iterations. If a format ran six times, how did performance change from the first to the sixth? That trajectory is the actual data point.

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