At Sender.net’s scale, support isn’t a cost center, it’s one of the richest data sources in the company. For years, that data went nowhere.
Sender.net is an email and SMS marketing platform used by over 180,000 businesses worldwide. Their support team handles roughly 4,000 monthly interactions across setup, deliverability, billing, and integrations. Each one is a customer signal. Someone asking about upgrade limits is a potential upsell. Someone frustrated with deliverability and mentioning a competitor is a churn risk. Someone requesting a feature is a roadmap input.
Under Front, every one of those signals was going nowhere. Front is a solid shared inbox, for a team that needs to collaborate on email, it does the job. But Sender.net had outgrown it. Seat costs scaled with the team. AI suggestions weren’t trained on their actual conversations. And the platform surfaced zero revenue intelligence: no churn risks flagged, no upsell opportunities tracked, no competitor mentions captured. Thousands of conversations processed every month, nothing routed back to the rest of the business.
Helply gave them three things at once. Outcome-based pricing, Sender.net pays for resolutions, not seats, so cost stops scaling with team size. An AI agent trained on Sender.net’s real conversation history, accurate from day one. And a revenue intelligence layer that turns every interaction into structured signal: churn flags, upsell opportunities, competitor mentions, feature requests, all routed to the people who can act on them.
The migration paid for itself in week one. Within days of going live, the revenue intelligence layer surfaced enough flagged conversations, early churn signals, upsell opportunities, product gaps, to cover the cost of the move. The AI Agent has been quietly resolving the routine traffic in the background ever since.
Sender.net is joining the first cohort to migrate fully off Front to the AI-native helpdesk, founding terms for life. The economics inverted. Every conversation now arrives with intelligence attached, every feature ships into a system that already knew it was needed, and the support team is working at the level the business actually requires.
