Achieving 3.5X MQL Growth: HyperVerge's Success Story with PipeRocket
The challenge
Three issues were blocking the lead engine:
- MQL volume was inconsistent month to month, making forecasting impossible.
- Mid-market and enterprise prospects weren’t showing up despite that being the highest-LTV segment.
- Form noise was eating sales’ time — junk leads were filling the queue and burying real buyers.
Our approach
Six phases, sequenced so each one fed the next.
Phase 1 — Analyze the top customers
Before touching the ad account, we looked at HyperVerge’s best closed-won deals: industry, role, use case, deal size. That profile became the reference for every keyword and audience decision downstream.
Phase 2 — Craft a unified brand voice
Ad copy, landing pages, and forms all spoke slightly different languages. We aligned them so the message a buyer saw in the ad matched what they read on the landing page and in the form headline.
Phase 3 — Bring underperformers to a halt
Every keyword and campaign got measured against MQL contribution. Anything not pulling weight — paused.
Phase 4 — Restructure the account
Budget consolidated into the campaigns proven to generate engaged, mid-market and enterprise buyers. No more thin spread.
Phase 5 — Design smarter lead forms
We added qualifying questions that let real buyers self-select while filtering out noise. Form completion rates dropped slightly. Lead quality jumped sharply — the trade we wanted.
Phase 6 — Optimize search terms weekly
Negative keywords got reviewed every week, both at account level and campaign level. By the end of the engagement, wasted spend was a rounding error.
The results
In three months, HyperVerge’s MQL pipeline grew 3.5X without any increase in budget. The new flow delivered 51 high-quality, sales-aligned MQLs in that window — most from the mid-market and enterprise segments that had been hardest to reach.
The most important number isn’t volume — it’s that sales stopped reporting junk leads. The pipeline got bigger and cleaner at the same time.
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