NoBull SaaS

Their Pitch

Optimize digital experiences & maximize conversions.

Our Take

It's A/B testing with fancy heatmaps and an AI sidekick. The visual editor means marketers can finally stop bugging developers every time they want to test a button color.

Deep Dive & Reality Check

Used For

  • +**Your checkout page converts 2% and you have no idea why people bail** → Heatmaps show exactly where they click (or don't), session recordings reveal the confusion
  • +**Developers take 3 days to change a headline for testing** → Visual editor lets marketers drag-and-drop changes in 5 minutes, no code needed
  • +**You're running one test at a time like it's 2010** → Multivariate testing tries multiple combinations automatically, finds winning combos you'd never think to test
  • +AI Copilot analyzes your data and suggests tests - no more staring at dashboards wondering what to try next
  • +Feature flags let you roll out changes to 1% of users first instead of breaking everything for everyone

Best For

  • >Your conversion rate is stuck and you're tired of arguing about button colors in Slack
  • >Marketing team keeps asking developers to 'just test this one thing' and everyone's losing their minds
  • >You've got decent traffic but have no clue why visitors bounce at checkout

Not For

  • -Small sites with under 1,000 monthly visitors — you'll wait forever to get statistically significant results
  • -Solo founders or tiny teams — you're paying $200+/month for features that need serious traffic to be useful
  • -Anyone wanting simple analytics — this is for people who want to actually change things, not just watch numbers

Pairs With

  • *Google Analytics (to actually understand your funnel before you start testing random stuff)
  • *Shopify (has direct integrations for e-commerce A/B testing without breaking your checkout flow)
  • *Hotjar (some teams use both for deeper user behavior insights, though there's overlap)
  • *Contentful (to test different content variations without rebuilding pages)
  • *Slack (where your team celebrates conversion lifts and argues about test duration)
  • *Zapier (to trigger actions when tests reach significance or send results to other tools)

The Catch

  • !You need thousands of monthly visitors per test variation or you'll be waiting months for meaningful results
  • !The AI suggestions are solid but you'll still need to understand your business context — it can't read your customers' minds
  • !Pricing jumps fast once you hit traffic milestones, and campaign spikes can blow through your monthly visitor limits unexpectedly

Bottom Line

Turns your website into a science experiment so you can stop guessing why people abandon their shopping carts.