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 TigerGraph's ads lose the buyer

TigerGraph is running 10 live ads on LinkedIn and Google. Their average fit to their own ideal buyer is 6.9 out of 10, and 2 ads need fixing. Each ad below is one of TigerGraph’s real live creatives, read straight from the ad libraries.

TigerGraph’s live ads, scored against their buyer

Real-Time Graph Analytics, scored 8/10 against TigerGraph’s ideal buyer. Specific financial crime proof lands hard for the exact fraud and AML buyer.
GraphRAG Architecture for AI, scored 7/10 against TigerGraph’s ideal buyer. Connected context hook fits AI/ML heads well but proof is vague and buyer role is broad.
Enterprise AI Retrieval Guide, scored 7/10 against TigerGraph’s ideal buyer. 300+ project proof and engineering framing appeals to data architects but offer feels like content, not a solution.
#1 Alternative, scored 7/10 against TigerGraph’s ideal buyer. Sharp pain hook on scale failure lands well for enterprise graph buyers.
Entity Resolution Software, scored 7/10 against TigerGraph’s ideal buyer. Specific numbered asset targets a real ICP pain with a low-friction offer.
AI-Powered Graph Database, scored 5/10 against TigerGraph’s ideal buyer. Generic relationship-and-insights framing lacks specificity to earn an enterprise click.
Real-Time Graph Analytics, scored 8/10 against TigerGraph’s ideal buyer. Quantified proof on a named vertical pain hits fraud and AML buyers precisely.
TigerGraph, scored 6/10 against TigerGraph’s ideal buyer. Graph-plus-vector angle is relevant but too abstract to compel a specific buyer action.
Real-Time Fraud Detection, scored 7/10 against TigerGraph’s ideal buyer. Vertical and use-case match is strong but lacks a proof point or specific outcome.
Real-Time Fraud Detection, scored 7/10 against TigerGraph’s ideal buyer. Vertical and use-case match is strong but lacks a proof point or specific outcome.

See TigerGraph’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.