ClientComeback AI.
Consultant, B2B SaaS advisory — United States.
6,500+
Quarterly, standing
Years of marketing had left more than 6,500 leads and lapsed customers sitting cold in the CRM. The client believed there was real value buried in the list but had no way to re-engage at scale without burning their sender reputation.
A description of the system itself — what it does, what it touches, and where it lives in the business.
- 01
Segmented the 6,500+ dormant contacts by historical behavior: never-converted, churned post-trial, inactive free users, and lapsed paid customers.
- 02
Generated segment-specific outreach that referenced what the contact had actually engaged with, paired with time-bound return offers.
- 03
Routed positive replies straight into the client’s calendar and paused follow-up on non-responders to protect deliverability.
- 04
A/B tested subject lines and offers across each segment and rolled the winners forward.
Observed outcomes in the running system. We deliberately do not publish numbers we cannot verify.
A list the client had effectively written off became a recurring inbound source.
Reactivation now runs as a standing quarterly campaign, not a one-time push.
Domain reputation stayed clean throughout — zero spam complaints across the run.
The tools wired together for this engagement. Selection is driven by the work, not by a preferred-vendor list.
Other systems in production.
- Client-facing systems
IntelliReach Agent
Outbound was generic and labor-intensive. The founder spent hours each week researching prospects, copy-pasting context, and writi…
- Internal operating systems
TeamLink OS
Customer messages were arriving across email, web forms, and chat. Replies were getting stranded between channels and the ops team…
- Client-facing systems
FlashCall AI
High-intent leads were submitting the enquiry form and then waiting half a day — or longer — for a human callback. By the time the…