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 Probabl (Skore)'s ads lose the buyer

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

Probabl (Skore)’s live ads, scored against their buyer

MLflow + Skore Better Together, scored 7/10 against Probabl (Skore)’s ideal buyer. Meets MLflow users mid-workflow with a sharp gap-fill hook, but proof and CTA are absent.
Official sklearn Certification - Earn a verifiable credential, scored 6/10 against Probabl (Skore)’s ideal buyer. Credential angle attracts individual practitioners more than enterprise buyers focused on model rigor.
Scikit-learn Certification for ML Practitioners | Probabl, scored 7/10 against Probabl (Skore)’s ideal buyer. Data leakage and CV error detection hits the ICP pain squarely, but certification framing dilutes the production-readiness message.
Skore — Built on scikit-learn - From Founders of scikit-learn, scored 8/10 against Probabl (Skore)’s ideal buyer. Founder credibility plus MLflow composability and model cards hit the rigor-and-reproducibility nerve directly.
Comet ML Alternative, scored 6/10 against Probabl (Skore)’s ideal buyer. Competitor-swap framing captures intent but 'validates your entire methodology' stays vague without a concrete proof point.
Probabl, scored 4/10 against Probabl (Skore)’s ideal buyer. Bare brand name as headline wastes high-intent search; body lists services without a specific outcome for the buyer.
Official sklearn Certification - Scikit-learn support, scored 7/10 against Probabl (Skore)’s ideal buyer. Dual headline covers both certification and support queries, and sitelinks add role-specific paths for data scientists.
ML Knowledge Stays in the Team, scored 7/10 against Probabl (Skore)’s ideal buyer. Retention-of-knowledge angle addresses a real enterprise pain but stops short of naming the product or a concrete mechanism.
Skore — Built on scikit-learn - From Founders of scikit-learn, scored 7/10 against Probabl (Skore)’s ideal buyer. Founder authority and stack composability land well, but 'amp;' encoding artifact slightly undermines polish.
Scikit-Learn Practitioner - Official Scikit-Learn Program, scored 6/10 against Probabl (Skore)’s ideal buyer. Certification angle attracts individual practitioners more than enterprise buyers focused on pipeline rigor and production readiness.
Scikit-learn Certification, scored 5/10 against Probabl (Skore)’s ideal buyer. Individual credential framing misses the enterprise team-rigor and reproducibility pain the ICP cares about most.
Own your Data Science, scored 5/10 against Probabl (Skore)’s ideal buyer. Scikit-learn provenance is a real hook but the offer and pain point stay vague.
From LLM to Production ML - LLM DS Platform - Try Free, scored 7/10 against Probabl (Skore)’s ideal buyer. Validate-and-govern framing plus sklearn founders credibility directly hits the ICP trigger.
Own your Data Science, scored 5/10 against Probabl (Skore)’s ideal buyer. Scikit-learn provenance is a real hook but the offer and pain point stay vague.
<dynamically generated based on landing page co...>, scored 5/10 against Probabl (Skore)’s ideal buyer. Certification angle is adjacent to ICP but misses the pipeline rigor and reproducibility pain.
A RAG from scratch to query the scikit-learn documentation, scored 4/10 against Probabl (Skore)’s ideal buyer. Tutorial content targets curious learners, not buyers facing production pipeline governance pressure.
Scikit-learn Certification, scored 5/10 against Probabl (Skore)’s ideal buyer. Certification is a real product but does not address the auditability or reproducibility pain the ICP feels.
DS Team Best Practices - Standardize ml workflow Team, scored 7/10 against Probabl (Skore)’s ideal buyer. MLflow-complementary positioning and concrete workflow benefits speak directly to the team-lead ICP pain.

See Probabl (Skore)’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.