How much time should I budget?

About 3 hours total, a working session and a review call. We do the heavy lifting.

What if I only want the roadmap, not the build?

That's the Campaign Repositioning Sprint. Ship it yourself, or upgrade to Done-For-You later.

Do you interview my customers?

Optional. We can mine your call recordings, reviews, and won/lost notes instead.

B2B teams spending $20K+/mo on ads whose demos aren't converting.

Book a 30-minute call. We'll tell you straight if it's a fit.

Where MongoDB's ads lose the buyer

MongoDB is running 18 live ads on LinkedIn and Google. Their average fit to their own ideal buyer is 6.8 out of 10, and 6 ads need fixing. Each ad below is one of MongoDB’s real live creatives, read straight from the ad libraries.

MongoDB’s live ads, scored against their buyer

Proof that modernization pays off, scored 8/10 against MongoDB’s ideal buyer. Named customer proof with hard numbers lands well for modernization-trigger buyers.
Give your applications a memory, scored 7/10 against MongoDB’s ideal buyer. Creative hook names the AI memory problem sharply but body copy trails off before landing the full value.
Real-time analytics, less ETL, scored 7/10 against MongoDB’s ideal buyer. Developer-native code snippet and tight headline speak directly to the ETL pain the ICP lives with.
One platform, fewer moving parts, scored 7/10 against MongoDB’s ideal buyer. Consolidation message lands clearly, but no specific proof or outcome to seal the click.
Make your data the strategy, scored 5/10 against MongoDB’s ideal buyer. Vague AI-strategy framing targets executives more than builders who feel the data-sprawl pain.
Upgrade Atlas on Azure using the commitment you already have, scored 5/10 against MongoDB’s ideal buyer. Procurement convenience angle appeals to finance, not the engineers and architects who feel the technical pain.
Grow without re-architecting, scored 7/10 against MongoDB’s ideal buyer. 99.995% SLA and Bedrock integration are concrete.
Stop stitching systems together, scored 8/10 against MongoDB’s ideal buyer. Provocative question names the exact patchwork pain, and the one-API answer with a free CTA closes the loop well.
MongoDB just collapsed five layers of the agent stack into one platform. Thats a, scored 8/10 against MongoDB’s ideal buyer. Collapsing five layers of the agent stack is a vivid, specific claim that hits the glue-code pain engineers live daily.
Modernization that keeps work moving, scored 9/10 against MongoDB’s ideal buyer. Named customer, hard migration numbers, and efficiency stat give engineers a concrete benchmark to believe.
Grow usage, not operational toil, scored 6/10 against MongoDB’s ideal buyer. Punchy but generic, the headline could belong to any cloud service and offers no specific differentiator.
Build AI apps on AI-ready data, scored 7/10 against MongoDB’s ideal buyer. Clear consolidation pitch hits the ICP pain, but 'AI-ready' is becoming table-stakes phrasing with no proof.
A native Azure experience for MongoDB, scored 5/10 against MongoDB’s ideal buyer. Feature-describes the integration rather than naming a developer pain it removes.
Put Azure commit dollars to work, scored 6/10 against MongoDB’s ideal buyer. Smart procurement angle for Azure-committed buyers, but undersells the technical outcome developers actually care about.
Turn Legacy Retail Data Into Retention, at Your Pace, scored 6/10 against MongoDB’s ideal buyer. Retail vertical fit is solid and the outcome is concrete, but the webinar CTA asks for high commitment with no proof of value.
Build Retail Apps That Move at the Speed of Customer Intent, scored 7/10 against MongoDB’s ideal buyer. Developer-facing headline with a real performance promise lands well for retail engineering buyers.
Build agent memory on MongoDB Atlas, scored 8/10 against MongoDB’s ideal buyer. Crisp, memorable hook nails the AI agent memory use case that is a live ICP trigger right now.
MongoDB Atlas: Cloud-Datenbank, scored 7/10 against MongoDB’s ideal buyer. Autonomous managed-DB promise matches high-intent search well; brevity leaves no room for differentiation beyond ease.

See MongoDB’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.