Case study
Insighto Behavioural analytics for Modern sites
Marketing teams see traffic in Google Analytics but not why qualified visitors abandon pricing, demo request, or contact pages. DayNight Studio built Insighto to answer why.
Visit website
insighto.app
Product built & operated by DayNight Studio
(01)The problem, in their words
Our traffic looked fine. Demo requests were flat. We had no idea whether people were confused by pricing, hitting a broken form, or just bouncing on mobile, until we watched replays.
Problem described by founders during product discovery interviews, 2025
(02)What DayNight Studio built
- Privacy-first analytics product: real-time visitor streams, frustration signals (rage clicks, dead clicks), and funnel drop-off alerts.
- Session replay with AI-generated summaries of what changed before a visitor left.
- Dashboard for founders and growth leads: no enterprise sales cycle, self-serve install.
- Snippet-based install (same pattern DayNight uses on client CRO engagements), plus docs and marketing site.
(03)Stack & delivery
Timeline: 3 weeks. Single studio team: design, engineering and AI integration in one engagement.
Next.js
TypeScript
PostgreSQL
WebSockets
OpenAI API
Cloudflare Workers
Vercel
(04)What changed
< 1 hr
Median time to first actionable insight after install (beta sites, n=6)
2
High-friction pages identified in first replay review on average
3 wks
Concept to live product at insighto.app
(05)In their words
“We built Insighto because every CRO engagement started with guesswork. Session replay with AI summaries means we fix the page users actually struggle on, not the one the team assumed.”