Where Lusha's ads lose the buyer

Lusha is running 3 live ads on LinkedIn and Google. Their average fit to their own ideal buyer is 7.3 out of 10, and 1 ad needs fixing. Each ad below is one of Lusha’s real live creatives, read straight from the ad libraries.

Lusha’s live ads, scored against their buyer

• Lusha's MCP: verified B2B data inside your AI tools, scored 8/10 against Lusha’s ideal buyer. AI workflow angle with named tools and a concrete query example lands squarely on the AI-adopter ICP segment.
• Know who's ready before you dial, scored 8/10 against Lusha’s ideal buyer. Buying-signal framing hits the cold-calling pain directly, and the product UI screenshot makes the value tangible.
• AI prospecting grounded in 300M+ verified contacts, scored 6/10 against Lusha’s ideal buyer. FOMO framing is clever but the AI-flows claim stays vague with no data point or specific outcome to anchor it.

See Lusha’s full live-ad board on AdRoast. Every creative scored against their ICP, with the exact fix for each.

Learn the method behind these scores: the AdRoast guides cover how to audit your ads against your ICP and why clicks do not turn into pipeline.