Tuesday, August 19

🌟 Today’s Highlights:

• TikTok implements a hashtag limit

• YouTube added a feature that cuts the silence out of your podcasts

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• 📊 Stat of the Day: 63.9% of the world is active on 6.8 different apps and scroll for an average of 2 hours and 21 mins each day (Source: Demandsage)

• 💡 Today’s Insight: How to get ahead on Google with AI-driven targeting

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⚡️ Today’s Headlines ⚡️

#️⃣ TikTok now has a 5 hashtag limit per post, signaling a major platform shift to encourage spam over strategy. The app is now encouraging creators to put an emphasis on keywords and relevant tagging for a better shot at social discovery.

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💼 LinkedIn’s post analytics got a boost. The platform’s notifications now alert you when posts drive profile views and followers, in an effort to help content creators double down on formats that are driving engagement.

⚡️ Facebook updated its Professional Dashboard. The revamp includes upgraded features like deeper insights, streamlined tools, and cross-device flexibility.

📺 YouTube added a ‘Trim Silence’ option to podcast videos. Users now have the option to remove gaps within the playback of a podcast recording, adding a more streamlined feel to podcast playback.

💡 Today’s Insight 💡

Google Ads automates language targeting

🗞 TL;DR - Goodbye control, hello AI language targeting. Google Ads is phasing out manual language settings in search campaigns, taking another lever out of marketers’ hands. Now advertisers must rely on Google’s AI to automatically detect and target user languages.

💡 Insight - Manual language targeting gave growth marketers a lever to reach multilingual or niche audiences with precision. While it simplifies setup, it can also increase the risk of ads being shown in the wrong markets or missing key audiences.

If you want to keep performance stable, you’ll need to strengthen strategy outside the ad platform by using first-party data, campaign structure, and creative targeting to fill the gaps automation leaves behind.

What you can do today:

• Audit multilingual performance now to understand which language segments are most valuable before the switch fully rolls out.

• Split campaigns by geography or audience signals as a proxy for language targeting.

• Refine ad copy and landing pages to ensure clarity for diverse audiences (because now messaging matters more since you can’t control targeting).

• Track performance shifts closely, setting alerts to catch dips once AI takes over.

• Double down on owned data, using CRM and analytics to guide segmentation when Google no longer gives visibility.

The bottom line: AI-driven targeting isn’t optional anymore. Marketers who get ahead by strengthening data, creative, and campaign structure will thrive as platforms remove manual levers.

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