# Save Team with Aligned Compensation

> A save team is a dedicated, incentivized team for at-risk customers, using escalating outreach and scripted conversations. The save conversation is treated like a sale and compensated accordingly.

- Canonical URL: https://www.convios.com/en/methods/save-team
- Language version: https://www.convios.com/de/methodik/save-team
- Status: Convios method toolkit
- Method library: https://www.convios.com/en/methods — Markdown: https://www.convios.com/en/methods.md

## Problem

Cancellations at your company are handled as an administrative process: customers who want to leave get a confirmation instead of a conversation. At the same time, making the sales team process its own losses is demoralizing. A customer who leaves unhappy is also a lost source of referrals; the damage exceeds the lost revenue.

## Approach

1. Separate new-business sales from retention organizationally; a dedicated team owns at-risk customers.
2. Pay a real commission on successful saves; economically, saving a customer is usually worth far more than the commission costs.
3. Increase contact attempts with at-risk customers over time instead of giving up after one try.
4. Script every recurring conversation type (cancellation request, inactivity, payment failure).
5. Track save rate and subsequent behavior; in practice, a share of save conversations even leads to higher-value plans.

## Example

A typical case: at a recurring-revenue vendor, cancellations land in the general support inbox and are confirmed within a day. The company sets up a small save team that calls every cancellation intent within hours, works from a structured playbook and earns a share of saved revenue. An early-warning signal additionally flags inactive customers before the cancellation arrives. An administrative task becomes a managed, measurable process with a clear owner.

## Limits

A dedicated team only pays off beyond a certain customer base; before that, a clearly assigned role suffices. The save team must not permanently paper over structural product or expectation problems; recurring cancellation reasons belong in the product and onboarding backlog. Poorly designed incentives can lead to aggressive retention practices that damage the brand.

## Metric

Save rate (saves per contacted cancellation intents) and the net revenue effect of saves including later upgrades.

## Sources

- Eva Ascarza: Retention Futility: Targeting High-Risk Customers Might Be Ineffective, Journal of Marketing Research 55(1), Februar 2018, 80–98 — American Marketing Association / Journal of Marketing Research (Volltext über Harvard Business School), 2018-02 · academic and scholarly literature · limits the method. Establishes, in the two field experiments reported in Eva Ascarza's paper (Journal of Marketing Research, 2018), that targeting the customers at highest risk of churning is not the most effective save strategy, and that selection should instead follow who actually responds to the intervention. (https://www.hbs.edu/ris/download.aspx?name=ascarza_jmr_18.pdf)
- Regaining "Lost" Customers: The Predictive Power of First-Lifetime Behavior, the Reason for Defection, and the Nature of the Win-Back Offer — Journal of Marketing 79(4) (V. Kumar, Yashoda Bhagwat, Xi Zhang), 2015 · academic and scholarly literature · evidence of effectiveness. Shows empirically that won-back customers pay off, and that the reason for cancelling and the type of win-back offer determine how long and how profitably the second relationship runs. (https://journals.sagepub.com/doi/10.1509/jm.14.0107)
- Watch this to keep more customers — Alex Hormozi (YouTube), n.d. · practitioner source · describes the method. Previous origin of the method, including the dedicated, incentivized save team with escalating contact attempts. (https://www.youtube.com/watch?v=afbP6sB_Atc)
- Primary source: Eva Ascarza: Retention Futility: Targeting High-Risk Customers Might Be Ineffective, Journal of Marketing Research 55(1), Februar 2018, 80–98 (https://www.hbs.edu/ris/download.aspx?name=ascarza_jmr_18.pdf)
- Adapted from: Alex Hormozi ($100M Offers/$100M Leads, YouTube-Langform)

## Related

- Method: [Onboarding with BAMFAM and Baton Pass](https://www.convios.com/en/methods/onboarding-bamfam)
- Method: [Churn Cohorting by Tenure](https://www.convios.com/en/methods/churn-cohorting)
- Method: [NRR as the Number One Value Driver](https://www.convios.com/en/methods/nrr-as-value-driver)