Same AI growth engine.
Different funnel.
Spar tests the pages between visit and paid. Landing page, pricing page, signup flow. The marketing funnel optimization your product team isn't doing.
For B2B SaaS, PLG, and any SaaS team optimizing top-of-funnel and signup conversion.
The marketing funnel is the neglected funnel.
Your product gets shipped on. Your ads get optimized weekly. The pages between visit and paid sit untested for quarters at a time.
Nobody actually owns the marketing funnel.
Product owns the in-app experience. Performance owns paid acquisition. The landing page, the pricing page, the signup flow belong to everyone and nobody. Conversion has been flat for a year and the backlog never gets touched.
The pricing page is hardcoded.
Your highest-leverage page hasn't been tested in eight months. Card order, defaults, copy, plan structure, all set once and forgotten. Every quarter someone says we should test the pricing page. Every quarter the next feature launch wins.
Your experiment stack tests inside the app.
Statsig, LaunchDarkly, Amplitude experiments are built for product flags and in-app changes. They were not built for marketing site tests. So the marketing site doesn't get tested.
One test idea per stage. The honest version.
Walk a SaaS funnel from visit to paid. At every stage Spar covers, here's what a test idea actually looks like. The Activate stage is intentionally left to your product team.
- 01VisitHero CTA copy treatmentStart free trial vs. Get a 14-day pass vs. See it in action.Runningmockup + 18-line JS variant
- 02EngageSocial proof positionCustomer logo wall above the fold vs. inside the second section.Wonmockup + DOM reorder script
- 03SignupSignup form lengthFive-field signup vs. two-field email-first with progressive profiling.Runningmockup + 31-line form variant
- 04ActivateIn-app activation flowFirst-action onboarding, empty states, aha-moment timing.Spar tests marketing pages, not in-app flows. Your product team owns this stage.Out of scopeOwned by your product team
- 05PaidPricing page defaultAnnual default vs. monthly default with annual savings callout.Draftingmockup + price-card reorder
Illustrative test ideas. Spar generates the actual ideas tied to your GA4 data and Clarity sessions. The Activate stage is intentionally out of scope: Spar tests marketing pages, not in-app flows.
Every capability earns its keep against one cost.
For each thing Spar does, here's the cost it pulls toward zero. That's the unlock for a marketing team that ships tests every week instead of every quarter.
AI generates marketing-site test ideas from GA4
Spar reads your funnel data and ranks every page against a rule library. The backlog reflects real drop-offs, not the loudest opinion in the standup.
Variants ship as JS, not engineering tickets
Every idea comes with a visual mockup and production-safe JS your team can review, edit, and ship. The marketing site stops competing with the product roadmap for the dev queue.
Pricing-page tests as a first-class workflow
Reorder cards, swap monthly and annual defaults, test plan copy, restructure tiers. The page that drives your highest-leverage conversion is no longer hardcoded.
Plain-English exec reports
Frozen, share-link snapshots your CEO and CFO open in a browser. Six default sections: intro, executive summary, health score, what changed, key learnings, CRO priorities. No dashboard fishing.
Where Spar fits and where it doesn't.
Spar tests marketing pages, not in-app product flows. Here's the scope, in plain language, so you know what you're buying.
Spar covers
- Marketing site pages (home, features, use cases)
- Pricing page and plan-selection flows
- Signup form and signup flow
- Blog conversion CTAs and lead magnets
- Comparison and competitor pages
Spar does not cover
- In-app activation flowsYour product team
- Product feature flagsLaunchDarkly, Statsig, or your existing system
- Behavioral analytics inside the productAmplitude, Mixpanel, or PostHog
- Lifecycle and transactional emailYour ESP
If you already run Amplitude or LaunchDarkly, Spar coexists with them. We optimize the top of the funnel. Your existing stack keeps running the inside of the product.