eyko Ideas

What is the single best move with this customer, right now?

CSMs, account managers, and marketers each have a long list of possible actions per customer. Most are reasonable; only one is best. A Next Best Action Playbook reads the customer's full signal set and recommends the single move most likely to produce the desired outcome, with the supporting evidence attached.

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The Challenge

Every customer has 10 possible actions and no clear best

  • Plays compete for attention across teams

    Customer success has a retention play. Marketing has a campaign. Sales has an expansion ask. Support has a sentiment recovery motion. Each play is reasonable, but firing them all at once overwhelms the customer and dilutes the signal of any single one.

  • CSMs pick from intuition under time pressure

    A CSM managing 60 accounts cannot deeply analyze each before deciding what to do next. They pick the action that felt right in the last conversation or that the playbook suggests for the lifecycle stage, which is almost never the action with the highest projected impact on this specific account.

  • Impact stays unmeasured

    When the team runs a mix of motions across many accounts, attribution becomes impossible. Was the expansion driven by the campaign, the QBR, or the support recovery? Without a clear next-best-action signal, the team cannot measure which motion actually worked.

How eyko Solves It

Recommend one action, rank the rest

A Next Best Action Playbook reads every signal available on the customer (usage, support, engagement, lifecycle stage, segment, recent activity) and the menu of possible actions across customer success, sales, marketing, and support. It scores each candidate action on projected impact for the desired outcome (retention, expansion, advocacy, recovery) and recommends the single best move with the supporting evidence and projected outcome attached.

Next Best Action Map | What
Executive Summary

The Playbook scored 4,200 active customers across 14 possible actions and recommended the single best next action per account. 312 customers were assigned a retention-focused action, 280 an expansion action, 184 an advocacy action, and 142 a support-recovery action. 38% of recommended actions differ from the action the lifecycle-stage playbook would have suggested by default.

Recommended Action Distribution
Retention focus
312
Expansion focus
280
Advocacy focus
184
Support recovery
142
Onboarding catch-up
94
MetricCurrentBenchmarkStatus
Primary indicatorFlaggedTargetAction needed
Secondary indicatorMonitoringWithin rangeOn track
Trend directionDecliningStableReview required
Recommendations
1The Playbook scored 4,200 active customers across 14 possible actions and recommended the single best next action per account.
2Full analysis available across all connected data sources.

Next Best Action recommends the single best next move for each customer across customer success, sales, marketing, and support. The Playbook reads every signal available on the customer, scores each candidate action on projected impact for the desired outcome, and surfaces the single recommended action with the supporting evidence and projected outcome attached so cross-functional teams act on the same signal rather than running competing motions.

FAQ

Frequently asked questions

Everything you need to know about Next Best Action Map.

Next Best Action is an AI-driven recommendation of the single most effective next action for each customer across customer success, sales, marketing, and support. The Playbook reads every signal available on the customer, scores each candidate action on projected impact for the desired outcome, and surfaces the single recommended action with the supporting evidence and projected outcome attached so cross-functional teams act on the same signal.

The Playbook reads from your product analytics (usage, feature adoption, session frequency), CRM (lifecycle stage, account context, recent activity), support tool (ticket cadence, severity, sentiment), marketing automation (campaign engagement, content interactions), and customer success platform (CSM activity, health score history). It also reads the catalog of available actions across teams. At least 12 months of paired action-to-outcome data lets the model anchor recommendations in real impact.

Lifecycle-stage playbooks prescribe an action based on where the customer is in the journey: onboarding action for onboarding customers, mature-stage action for mature customers. Next Best Action is signal-based: it recognizes that many customers benefit more from a different stage's action because the underlying signal has moved. The two are complementary, but signal-based recommendations are what catch the mismatches that default playbooks miss.

Yes. The Playbook tracks action completion and downstream outcomes for 90 days per recommendation and compares the recommended-action cohort against a control cohort following the default playbook. The comparison produces a measurable lift estimate per outcome type (retention, expansion, advocacy, recovery) so leadership sees whether the recommendation system is producing impact and which action types are most accurate.

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