ALBERO
Engineering ambitious products
Case study · Financial Services · Mumbai

Series-A FinTech
Replaced a 3-tool sales stack with a single CRM Pro deployment — cut SDR onboarding from 3 weeks to 2 days.

We deployed CRM Pro with custom lending-specific stages, AI lead scoring trained on their historical conversion data, and automated nurture cadences. Migrated 50,000 records from HubSpot in under 24 hours with zero downtime.

+32%
Qualified pipeline
−86%
SDR ramp time
₹18L
Annual savings
< 24h
Migration window
The challenge

A fast-growing lending startup was running sales on HubSpot + a homemade pipeline tracker + 4 spreadsheets. Reps spent 30% of their time updating data instead of selling. Forecasts were off by ±40% every quarter.

The solution

We deployed CRM Pro with custom lending-specific stages, AI lead scoring trained on their historical conversion data, and automated nurture cadences. Migrated 50,000 records from HubSpot in under 24 hours with zero downtime.

Outcomes
  • 32% lift in qualified pipeline within 90 days
  • Forecast accuracy improved from ±40% to ±8%
  • SDR ramp time dropped from 3 weeks to 2 days
  • Saved ₹18L/yr by retiring legacy CRM + 2 SaaS tools
Architecture

We expected a CRM. We got a revenue operating system. Our SDRs onboard in two days now.

VP of Sales, Series-A FinTech

Straight answers

Series-A FinTech — the details

What challenge did Series-A FinTech face?

A fast-growing lending startup was running sales on HubSpot + a homemade pipeline tracker + 4 spreadsheets. Reps spent 30% of their time updating data instead of selling. Forecasts were off by ±40% every quarter.

How did Albero Technologies solve it?

We deployed CRM Pro with custom lending-specific stages, AI lead scoring trained on their historical conversion data, and automated nurture cadences. Migrated 50,000 records from HubSpot in under 24 hours with zero downtime.

What were the measurable results?

32% lift in qualified pipeline within 90 days Forecast accuracy improved from ±40% to ±8% SDR ramp time dropped from 3 weeks to 2 days Saved ₹18L/yr by retiring legacy CRM + 2 SaaS tools

What technology stack was used?

The solution was built with CRM Pro, Node.js, PostgreSQL, AWS, Stripe, Twilio.

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