Monday, April 6

🌟 Today’s Highlights:

• Google’s fixing a Search Console bug that inflated impression counts

• X added an option to follow Topics easier

• You don’t need to be an AI expert to build business apps with it

• 📊 Stat of the Day: 83% of ad executives deployed AI in creative processes in 2025, up from 60% the year before. (Source: Interactive Advertising Bureau)

• 💡 Today’s Insight: How to build high-ROAS search campaigns in Google Shopping & Amazon Ads

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⚡️ Today’s Headlines ⚡️

🪲 Google is fixing a Search Console bug that inflated impression counts. A logging error caused Google Search Console to over-report impressions starting May 13, 2025. Corrections will roll out in the coming weeks.

🦾 Be the Brand AI Cites. 92% of AI mentions come from off-page SEO, and uSERP scaled EarlyBird to 70K visits before exit. They earns guaranteed DR60–90+ placements. Learn more here.

➕ X added an option to follow Topics directly from the account suggestions section. This new feature could help more brands with account discovery and boost user engagement on content.

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🤖 Google Vids added new AI capabilities. The new features include higher quality video generation, custom music generation and artificial intelligence-powered avatars that can promote your business.

💡 Today’s Insight 💡

How to build high-ROAS search campaigns in Google Shopping & Amazon Ads

🗞 TL;DR - Paid search remains one of the most effective ecommerce growth channels because it captures high-intent demand + revenue-level data, letting marketers directly tie queries to sales and continuously optimize toward profitability. Search Engine Land outlines how to optimize this with Google Shopping and Amazon Ads, and how to organize campaigns to act on that signal.

💡 Insight - Search Engine Land’s core strategy is building a multi-layered campaign structure that separates discovery from performance. Instead of bidding aggressively on everything, high-ROAS programs use low-cost, broad campaigns to identify converting queries, then funnel those winners into tightly controlled, high-bid campaigns.

On Google Shopping, this is typically done through priority-based campaign sculpting:

• High-priority campaigns cast a wide net (low bids)

• Mid-tier campaigns refine targeting

• Low-priority “alpha” campaigns focus budget on proven converters

On Amazon Ads, a similar system applies but at the SKU level:

• Research campaigns (broad/phrase) discover keywords

• Performance campaigns (exact match) scale winners

• Ranking campaigns push top terms to improve organic visibility

This structure creates a feedback loop: better data → better query selection → better ROAS. On Amazon, strong ad performance can even improve organic rankings, compounding returns over time.

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