Achieve the highest save rate - without giving away margin

Identify customer cancel reasons, use personalized save tactics per cancel reason and learn the best ways to retain your customers.

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AI agent

You

Today

I want to cancel my subscription.
VS

10:46 PM · Web chat

Of course — I can help with that. Before I process it, what’s making you want to cancel?

<ActionCard title="Too expensive" description="The subscription no longer fits your budget" messageAction="I'm cancelling because it's too expensive" imageSrc="/images/agent-demo/options/option-dogfood-discount.jpg" /> <ActionCard title="My dog didn't like it" description="Your dog isn't enjoying the current recipe" messageAction="I'm cancelling because my dog didn't like it" imageSrc="/images/agent-demo/options/option-dogfood-recipe-swap.jpg" /> <ActionCard title="Too much food" description="Food is piling up between deliveries" messageAction="I'm cancelling because I have too much food left over" imageSrc="/images/agent-demo/options/option-dogfood-portion.jpg" /> <ActionCard title="Something else" description="A different issue is prompting cancellation" messageAction="I am canceling because of a different reason" imageSrc="/images/agent-demo/options/option-dogfood-dog.jpg" />

10:46 PM · Web chat

Design personalized save tactics

Map each cancel reason to an approved tactic, from education to pause.

  • Customer valueUse customer value, abuse history, and margin guardrails.
  • Personalized offersPersonalize every offer without giving away too much.
  • Approved save pathsKeep approved save paths tied to each cancellation reason.
Cancel reasons mapped to personalized save tactics in Applied Labs

Test before launch.

Simulate reasons, segments, and save tactics before customers see them.

  • CoverageVerify coverage across cancellation reasons and customer segments.
  • Tactic limitsTest tactic limits before launch.
  • Strategy comparisonCompare strategies on the same cancel moment.
Save agent test scenario preview in Applied Labs

Deploy everywhere.

Run personalized save conversations across chat, email, voice, and SMS.

  • Eligible customersGive eligible customers the right tactic in the right channel.
  • Approved limitsEnforce approved limits before offers go out.
  • CRM contextAttach CRM context to every save path.
Deploy

Omnichannel save offer preview

Current save path

A loyal subscriber is canceling because delivery cadence no longer matches usage, so the agent launches an approved pause path.

Tactics live
18
Reasons tracked
12
Limits active
9
Value check

VIP subscriber with clean save history.

Eligible
Guardrail

One pause offer allowed this quarter.

Approved
Cancel reason

Cadence mismatch tagged to retention record.

Saved
Tactic test

Pause path compared with swap path.

Live

Learn what keeps customers.

Track save rate, revenue kept, and weekly tactic wins by segment.

  • Cancel reason pressureSee cancel reason pressure and tactic performance.
  • Margin guardrailsMonitor repeat abuse and margin guardrails.
  • Retained valueFind the paths that retain the most value.
Analyze

Retention revenue dashboard

Save rate
38%

+7 pts

Tactic fit
91

approved offers

Repeat abuse
3%

blocked

Weekly movement
SavedAt risk
W1W2W3W4W5W6
Outcome mix
Pause accepted41%
Swap accepted27%
Credit needed14%
Sundays
Travis Crawford

Travis Crawford

Senior Director, Ecommerce

How Sundays for Dogs Drove 7-Figure Net New Revenue With Applied Labs

Read case studies

Works across the Applied agent family.

Use the same context and controls across support, save, conversion, and proactive workflows.

Support Agent

Resolve known issues with policy and queue control.

Save Agent

Reduce churn with governed retention tactics.

Conversion Agent

Respond to buying intent at the moment it appears.

Proactive Agent

Act on customer signals before they become tickets.

Choose the cancel moments Applied should own first.

Understand cancel reasons, govern save tactics, and improve retention weekly.

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