Where Tigera's ads lose the buyer

Tigera is running 4 live ads on LinkedIn and Google. Their average fit to their own ideal buyer is 7.5 out of 10, and 0 ads need fixing. Each ad below is one of Tigera’s real live creatives, read straight from the ad libraries.

Tigera’s live ads, scored against their buyer

• One control plane for every AI agent on Kubernetes, scored 7/10 against Tigera’s ideal buyer. Sharp ICP hook naming Kubernetes and default-deny, but no proof or specific outcome to seal the click.
• AI agents don't behave like the workloads your stack was built for, scored 7/10 against Tigera’s ideal buyer. 'Control plane of their own' is a resonant frame for platform engineers but the creative drops the body-copy problem setup entirely.
• Find every AI agent in your estate — even the shadow ones, scored 8/10 against Tigera’s ideal buyer. Sharp hook nails the unregistered-agent visibility gap, but 'Learn More' CTA and no proof leave clicks on the table.
• A valid credential doesn't guarantee a well-behaved agent, scored 8/10 against Tigera’s ideal buyer. Delegation-chain framing is a precise, credible insight that security architects and platform engineers will immediately recognize.

See Tigera’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.