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SaaS / Data Analytics

CloudVault Analytics Case Study: 3.5x pipeline growth in 90 days in SaaS / Data Analytics

By Marcus Chen, VP of Sales

3.5x
pipeline growth in 90 days
32%
cold email reply rate
$2.1M
ARR from Mir Tech campaigns

Overview

CloudVault Analytics, a SaaS / Data Analytics company with a 4-person GTM team, faced a critical challenge: Early-stage VC-backed SaaS needed to demonstrate product-market fit to investors. Cold outreach was unstructured and reply rates were 8%.

The Challenge

The core challenge was clear: early-stage vc-backed saas needed to demonstrate product-market fit to investors. cold outreach was unstructured and reply rates were 8%.. For a team of 4-person GTM team, this meant bottlenecks in their GTM motion and limited visibility into what was actually working. Traditional approaches weren't cutting it.

The Solution

CloudVault Analytics turned to Mir Tech to implement intent scoring + multi-touch campaigns. The implementation was completed in Q3-Q4 2024, focusing first on quick wins. Rather than attempting a full transformation immediately, they started with their most critical bottleneck and expanded from there. This phased approach ensured adoption and built momentum.

Key feature used:

Intent scoring + multi-touch campaigns

Results

The results spoke for themselves: 3.5x pipeline growth in 90 days, and 32% cold email reply rate, and $2.1M ARR from Mir Tech campaigns. Within six months, CloudVault Analytics had completely transformed their SaaS / Data Analytics approach.

We went from random outreach to surgical precision. Investors saw a 3.5x pipeline improvement in Q3, which directly contributed to our Series A close."

Marcus Chen, VP of Sales

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