Tracestack

TraceStack is an attribution intelligence layer that enables you to track every single touchpoint across ads, content, dark social, and sales, and shows you where your real growth is coming from.

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Hackathon Project: TraceStack

Inspiration

As a marketer, one of the most frustrating challenges I’ve faced is not knowing what actually led to a conversion. Was it the blog post, the LinkedIn DM, the email drip, or the sales call? The data never told the full story — UTMs break, cookies get blocked, and “dark social” hides a lot of real influence.

I wanted to build a tool that answers a simple but powerful question:

“What really influenced this lead?”

That’s how TraceStack was born — a plug-and-play attribution intelligence layer that helps marketers track every single touchpoint in the buyer journey, even the invisible ones.

How I Built It

TraceStack combines front-end tracking, backend event logging, and integrations with popular tools to create a complete attribution timeline for every user.

Tech Stack

  • Database: Supabase
  • Netlify: Reliable hosting
  • Bolt: Fullstack Development

What It Does

  • Tracks multi-touch attribution across web, email, ads, and social
  • Builds a user-level attribution timeline showing influence over time
  • Flags “dark social” leads using keywords in form submissions (e.g., “found you on LinkedIn”)
  • Sends attribution alerts to Slack when high-value leads engage

What We Learned

  • Attribution is a blend of technical tracking and human context. Some things just can’t be captured with JavaScript alone, so we added manual tagging and qualitative inputs.
  • Users don’t care about charts. They care about answers. We simplified reporting to clearly show "what influenced this deal" in plain English.
  • Speed and privacy matter. We had to balance data collection with respecting user consent and compliance.

Challenges We Faced

  • Tracking across platforms was tough. UTMs don’t persist well, and users switch devices
  • Dark social is a black box. People mention your brand in DMs, WhatsApp, or podcasts — and there’s no “click” to track. We tackled this by creating a system to manually log and tag these signals.
  • Time pressure: Integrating multiple APIs and building a clean UI under 48 hours was a race against the clock but we kept the MVP focused and functional.

What’s Next

TraceStack is still in its early days, but we’re excited to:

  • Add AI-powered attribution scoring
  • Expand integrations (Slack, Salesforce, Twitter)
  • Launch a no-code dashboard for non-technical marketers

Marketing should be led by clarity, not guesswork. TraceStack helps marketers finally see the real story behind every conversion. No more shouting matches about first-touch vs last-touch — just honest, helpful attribution.

Built With

  • bolt
  • netlify
  • supabase
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