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 Sisense's ads lose the buyer

Sisense is running 18 live ads on LinkedIn and Google. Their average fit to their own ideal buyer is 6.1 out of 10, and 13 ads need fixing. Each ad below is one of Sisense’s real live creatives, read straight from the ad libraries.

Sisense’s live ads, scored against their buyer

AI-ready analytics: what engineering teams need to know, scored 6/10 against Sisense’s ideal buyer. Relevant ICP hook but body truncates before delivering any non-obvious insight or POV.
Using ComposeSDK Planning Documents: Guiding an AI Coding Assistant | Sisense Community Embedding Analytics, scored 7/10 against Sisense’s ideal buyer. Concrete product-led tutorial with a named engineer and a specific workflow differentiates it from generic AI content.
You asked. We shipped! Three updates that help your viewers get more out of thei, scored 6/10 against Sisense’s ideal buyer. Launch framing is buyer-friendly.
29% of AI initiatives remain stuck in the pilot stage, with integration complexi, scored 7/10 against Sisense’s ideal buyer. Strong stat hook and relevant topic, but asset preview is thin beyond the cover stat.
Instead of dashboards that look embedded...get analytics that feel like part of , scored 6/10 against Sisense’s ideal buyer. Right message for the ICP but copy cuts off before delivering a concrete outcome or CTA.
Extend Sisense with native-feeling custom visualizations, embedded throughout yo, scored 6/10 against Sisense’s ideal buyer. Feature is relevant to the ICP but no outcome or proof makes it forgettable in a cold feed.
Sisense 2026.3.2 is rolling out now, and there's a lot to be excited about. 🚀 P, scored 5/10 against Sisense’s ideal buyer. Release walkthrough format is clear but gives no reason to care about the specific highlights before clicking.
Give your AI assistant access to your *actual* business data. The Sisense MCP Se, scored 7/10 against Sisense’s ideal buyer. 'Actual business data' and 'secure bridge' directly address the ICP's AI grounding and data-security pain, though proof is absent.
Find the right insight—instantly. With Sisense Intelligence Search, end-users ca, scored 6/10 against Sisense’s ideal buyer. Feature benefit is clear but framed for end-users, not the product leader who decides to buy it.
💡Sisense customer insight💡 What happens when you stop making your transactiona, scored 7/10 against Sisense’s ideal buyer. Named customer and a concrete before/after situation make this relatable, but the outcome number is missing.
Create custom, native-feeling visualizations, and you don’t have to write a sing, scored 6/10 against Sisense’s ideal buyer. 'Now in beta' and no-code angle are clear, but 'made faster' is vague and no proof or next step is offered.
Imagine sitting down at a brand-new computer. No Node.js installed, no code edit, scored 6/10 against Sisense’s ideal buyer. Relatable dev pain hook but no payoff, value.
💡 Bring deeper context to your AI analytics with imported semantics. Data model, scored 6/10 against Sisense’s ideal buyer. Solid ICP concept but 'data models are only as powerful as the context' trails off with no concrete payoff shown.
You've got a new way to run your business: decide what matters, and let Sisense , scored 6/10 against Sisense’s ideal buyer. Launch hook is clear but 'decide what matters and let Sisense Agentic Pulse keep watch' lacks a concrete outcome or next step.
Put more power in the hands of your viewers! ⚡ With Viewer Plus (beta), your use, scored 5/10 against Sisense’s ideal buyer. Feature announcement names the capability but gives no outcome or reason the ICP buyer should care about viewer self-service.
When AI speaks to your customers, your brand is on the line. Make sure every ans, scored 7/10 against Sisense’s ideal buyer. Sharp brand-risk hook ties AI governance directly to the embedded analytics ICP pain.
🚀 Data modeling just got a whole lot faster. **Sisense 2026.3 is here** Our lat, scored 6/10 against Sisense’s ideal buyer. Release announcement is clear but 'Data Mod...' truncation hides the specific improvement, leaving the why-it-matters unresolved.
AI Analytics Platform, scored 4/10 against Sisense’s ideal buyer. Category-level claim with no differentiator, proof, or reason to choose Sisense over any rival.

See Sisense’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.