Sainapse flags at-risk accounts 4-6 weeks before the customer raises them
Millions of accounts at a global logistics company throw off support signals all day. Sainapse reads them and flags the ones trending toward churn 4 to 6 weeks before the customer raises the issue. Account managers get the risk while there is still time to act.
The risk model runs on case data already in production
Sainapse already runs a second deployment at this customer, classifying and routing 32 million support emails a year on Salesforce. The same case data that drives that workflow feeds the risk model on this page.
The signals were already in the system, just disconnected. See the companion case study on the 32 million email deployment at the same customer.
The challenge
With a customer base in the millions, no human team can read every ticket trend in time.
Risk shows up in places nobody is watching: a quiet uptick in shipping-delay tickets, a slower resolution time on a key account, a tone change in the last three replies.
By the time those signals reach a quarterly business review, the customer has already drafted the escalation email. Account managers needed an early-warning system grounded in live case data, not in lagging dashboards.
What Sainapse delivered
Sainapse scores every account in real time, reading open ticket count, ticket creation velocity, resolution time trends, and sentiment shifts across recent replies. The team sets the threshold per account tier.
When a score crosses it, Sainapse posts the alert into the CSM's existing Salesforce queue with the timeline of contributing signals attached.
There is no new portal, no new login, and no change to the existing stack. The CSM sees the risk inside the tool they already open every morning.
A worked example
One strategic account showed shipping-delay tickets up 40% week over week, resolution time creeping past SLA on two case types, and a sentiment shift across the customer's last three replies.
The composite score crossed the threshold roughly six weeks before the customer asked for an executive review.
The CSM walked into that meeting with a plan and a fix in motion. The account renewed.
What changed in production.
4-6 weeks of lead time
Between Sainapse flagging an account and the customer raising it.
Zero new tools for the CSM team
Alerts route into the existing Salesforce queue with full case timeline pre-assembled.
Where the signals come from.
Scoring, alerting, and the timeline attached to each alert are documented separately.
- Workflow overview
The Account Intelligence workflow this scoring belongs to.
- Account Health Scoring
Scores every account from open ticket count, velocity, resolution trends, and sentiment.
- Proactive Alerts
Posts the alert into the CSM's existing Salesforce queue when a score crosses the threshold.
- Cross-System Interaction Timeline
Attaches the timeline of contributing signals to every alert.
- All customer stories
Named deployments and what they measured.