CLIENT BACKGROUND
Our client is a mid-market SaaS company offering patient engagement and care coordination solutions to outpatient clinics and specialty healthcare providers across North America. At the time of engagement, the company was in active growth mode — expanding its sales team, increasing ad spend, and targeting new provider segments. Despite strong product-market fit, their revenue engine wasn’t keeping pace.
THE CHALLENGE
The client was investing heavily in demand generation but had little visibility into what was actually working. Leads were coming in, but the quality was inconsistent, follow-ups were slow, and the sales team had no reliable way to prioritize their pipeline.
Specifically, the team was dealing with:
The result: high spend, low conversion, and a growing disconnect between marketing output and sales outcomes.
THE SOLUTION
AnavClouds Analytics.ai restructured the client’s lead intelligence and marketing operations layer from the ground up.
AI-Powered Lead Scoring & Qualification: We built a predictive lead scoring model trained on the client’s historical CRM data — firmographic signals, behavioral triggers, and engagement patterns — to automatically surface the highest-intent leads and suppress low-quality noise before it reached the sales team.
HubSpot Automation & Campaign Optimization: We rebuilt the HubSpot workflow architecture end to end — configuring automated lead routing, lifecycle stage triggers, and real-time alerting so that high-scoring leads reached the right rep within minutes, not hours.
ABM Targeting Using CRM Insights: Using existing customer data, we built look-alike audience segments and launched account-based campaigns targeting outpatient networks and specialty clinics with profiles matching the client’s best-fit accounts.
THE RESULTS
Within 90 days of implementation:
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