All case studies
Lead GenerationB2B SaaS·EMEA·11 weeks
Unifying 7 lead sources into a single AI-scored pipeline for a B2B SaaS
Consolidated leads from ads, forms, chat, events, referrals, calls and partners into one AI-scored inbox — cutting response time from 41 hours to 3 minutes and lifting SQL rate 2.7×.
Client · Bindr Cloud
Impact
Results at a glance
41h → 3min
First response time
2.7×
SQL conversion
+68%
Pipeline coverage
+9 h/week
Rep productive time
The challenge
- 1Leads fragmented across HubSpot, LinkedIn, Intercom, event lists and partner spreadsheets.
- 2Reps triaged manually and consistently missed the highest-intent prospects.
- 3No shared definition of a qualified lead across marketing and sales.
- 4Attribution was impossible — every source claimed the same closed-won deals.
Our approach
- 1Interviewed reps, CS and marketing to codify a working ICP and scoring rubric.
- 2Consolidated identity resolution (email, domain, LinkedIn) before scoring.
- 3Rolled out to one segment at a time so the model could learn on real closed-won data.
What we built
- 1Unified inbox ingesting 7 sources in real time via native connectors.
- 2Identity resolution and account rollup for company-level view.
- 3AI lead scoring combining firmographic, intent and behavioural signals.
- 4Auto-routing with SLA timers and Slack alerts for high-value inbounds.
- 5Multi-touch attribution report shared weekly with the exec team.
Results delivered
- First response time collapsed from a 41-hour median to 3 minutes.
- SQL conversion rate improved 2.7× on the same lead volume.
- Pipeline coverage rose 68% without new headcount.
- Reps recovered ~9 productive hours per week from manual triage.
- Marketing shifted 22% of budget away from a channel that finally proved unattributable.
"The moment the model started routing hot leads to Slack in real time, we stopped losing deals to slower competitors."
Ready to write the next case study?
Tell us about your goals — we'll come back with a focused plan and honest estimate.