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Agentic Retention with Klaviyo
MCP is eating dashboards. 8 retention queries that once took hours now take seconds. Never log into analytics software ever again.
Your retention analytics just became conversational: Stop clicking through dashboards. Start asking questions. The modern approach to retention analysis leverages AI agents that understand your business context and deliver insights through natural language.
With MCP (Model Context Protocol), your Klaviyo data transforms from static reports into dynamic conversations. Ask complex cohort questions. Get instant SQL-powered answers. No dashboard required.
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From export to insight in minutes: Traditional BI requires ETL pipelines, data modeling, and dashboard building. The agentic approach? Exported segments from Klaviyo, re-architected with ar.chitect.ai, loaded into TimescaleDB for super fast queries, and connected to the Retention Agent on Slack via dtc.sh MCP.
Your AI agent can now execute complex cohort queries in Slack directly against your time-series data. No more pre-built reports. No more limited filters. Just questions and answers.
Explore the dtc.sh MCP architecture →
Skip the dashboard tax: Every dashboard view costs time. Every report refresh requires patience. Every new question needs a new widget. The dashboard tax compounds daily across your team.
AI agents eliminate this overhead entirely. They understand context, remember previous questions, and can dive deeper without switching views. One conversation replaces dozens of dashboard tabs.
See retention analysis in action →
Up to 90% faster insights with natural language
Dashboard navigation: 5-10 minutes per insight
Agent conversation: 30 seconds per insight
Complex cohort analysis: 2 hours → 5 minutes
The Retention Agent handles everything from simple metrics to complex multi-dimensional analysis. Here's what it can do:
1. Repeat Purchase Rate by Cohort
"What percentage of customers in each cohort made a second purchase?"
The agent instantly surfaces declining retention trends. Recent cohorts show 40% repeat rates versus 89% for earlier cohorts, a critical insight buried in traditional dashboards.
2. Churn Rate Analysis
"What proportion of each cohort didn't return within 90 days?"
Get immediate visibility into retention cliffs. The agent revealed 97%+ churn rates in recent cohorts, triggering urgent action on post-purchase flows.
3. Complete Cohort Analysis
"Do a customer cohort analysis grouped by signup month"
One query replaces multiple dashboard views. See cohort sizes, repeat rates, CLV, AOV, and order frequency—all contextualized with actionable recommendations.
4. Time to Repeat Purchase
"Analyze average time for customers to make repeat purchases"
Discover velocity changes over time. Older cohorts averaged 250-340 days between orders with deep engagement. Recent cohorts show 50-100 days but with far fewer total orders.
5. Customer Lifetime Value Trends
"Track CLV by cohort over time"
Watch value erosion in real-time. CLV dropped from $871 (2017 cohorts) to $117 (2024 cohorts), directly correlating with acquisition strategy shifts.
6. Predictive Retention Segmentation
"Use predicted CLV to identify at-risk customers early"
The agent segments customers into risk tiers using Klaviyo's predictive metrics. High-risk segments (<$50 predicted CLV) get immediate intervention flows.
7. Channel Impact on Retention
"Compare retention for email/SMS opt-ins versus non-subscribers"
Uncover your most powerful retention lever. SMS opt-ins show 72-85% repeat rates with $380-860 CLV, while non-subscribers barely hit 20-46%.
8. Geographic Retention Patterns
"Which cities have the highest repeat rates?"
Surface location-based opportunities instantly. Memphis (80.8%), Poughkeepsie (78.8%), and college towns dominate retention—insights for geo-targeted campaigns.
The future isn't better dashboards. It's no dashboards.
Want access to aigencia’s Retention Agent? DM Bora on LinkedIn.