KPI Tree
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Klaviyo powers your retention marketing. KPI Tree proves which flows actually retain customers.

Klaviyo gives you per-flow and per-campaign metrics - open rates, click rates, revenue attributed, placed order rates. But those metrics live inside Klaviyo, disconnected from your broader e-commerce performance. KPI Tree takes your Klaviyo data and maps it into causal metric trees: welcome flows feed into first-purchase conversion, post-purchase flows feed into repeat purchase rate, winback flows feed into reactivation and LTV. Each metric has an owner. Statistical correlations replace guesswork. You stop wondering which flow matters and start proving it. Connect via MCP to pull Klaviyo data directly, point KPI Tree at your existing data warehouse where Klaviyo data already lands, or let our Professional Services team build the AI foundations for you.

From connection to retention marketing accountability in under an hour

KPI Tree offers three ways to connect your Klaviyo data: pull it directly via MCP with no warehouse needed, connect your existing data warehouse where Klaviyo data already lands, or let our Professional Services team build you turn-key AI foundations in a matter of weeks (data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer).

1

Connect your Klaviyo data

Three ways to get started, depending on your stack.

MCP
MCP

Pull metrics from Klaviyo directly through the Model Context Protocol.

SnowflakeBigQueryDatabricks
Warehouse

Connect your existing warehouse where Klaviyo data already lands.

Fivetrandbt
Professional Services

Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

2

Map metrics from your Klaviyo data

Define metrics from your Klaviyo tables - email open rates, click-through rates, placed order rates, revenue per recipient, list growth rate, unsubscribe rate, SMS delivery rate, flow completion rate, and attributed revenue by flow and campaign. Use SQL, your dbt semantic layer, or natural language with Cortex Analyst.

3

Build metric trees and assign ownership

Arrange retention marketing metrics into causal trees. Link welcome flow performance to first-purchase conversion. Connect post-purchase email engagement to repeat purchase rate. Map winback flow metrics to reactivation and customer lifetime value. Assign RACI owners - your email marketing manager owns flow performance, your e-commerce lead owns attributed revenue, your CRO specialist owns conversion metrics.

Retention marketing metrics that connect to customer lifetime value

Klaviyo is the engine powering your e-commerce email and SMS. KPI Tree adds the layer that connects individual flow performance to the retention and LTV outcomes your business depends on.

Causal trees from flow engagement to lifetime value

Map how welcome email engagement drives first purchase, how post-purchase flows drive repeat orders, and how winback campaigns influence reactivation. When repeat purchase rate drops, trace it through the tree to the specific flow or segment causing the decline - instead of digging through Klaviyo's per-flow reports one at a time.

Statistical proof of which flows drive retention

KPI Tree runs Pearson correlations and Granger causality tests between your Klaviyo flow metrics and downstream e-commerce KPIs. Discover that your post-purchase education series has a statistically significant relationship with 90-day repeat purchase rate - or that your browse abandonment flow generates clicks but has no measurable impact on revenue.

Alerts when retention metrics move, not just campaign reports

Klaviyo sends campaign reports after the fact. KPI Tree monitors your retention metrics continuously and alerts owners when something moves outside its expected range - with statistical context. When your welcome flow placed-order rate drops below baseline, the owner knows before the next weekly review.

See how email and SMS flows actually drive repeat purchases and LTV.

Klaviyo reports show revenue attributed to individual flows and campaigns. That is useful but incomplete - it tells you what each flow generated in isolation, not how flows interact to drive cumulative retention. KPI Tree connects your Klaviyo flow metrics into a causal tree alongside Shopify or Stripe revenue data. Welcome flow engagement feeds into first-purchase conversion. Post-purchase flow engagement feeds into 30/60/90-day repeat purchase rates. Winback flow engagement feeds into reactivation rate and recovered revenue. You see the full retention system, not individual flow snapshots.

  • Causal trees linking flow engagement to first purchase, repeat purchase, and LTV
  • Combine Klaviyo data with Shopify/Stripe revenue in a unified tree
  • Trace retention metric changes to the specific flow or segment causing them
  • Period-over-period comparisons across your full retention funnel
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Every flow metric has an owner. Every decline gets investigated.

E-commerce email marketing involves multiple roles - email designers, copywriters, marketing automation specialists, CRO analysts, e-commerce managers. KPI Tree assigns RACI ownership at the metric level. Your email designer owns open rates and design-driven engagement metrics. Your automation specialist owns flow completion rates and deliverability. Your e-commerce manager owns attributed revenue. When a metric moves, the right person is notified with statistical context and historical comparison - not a forwarded Klaviyo report.

  • RACI ownership per metric - not per flow or per campaign
  • Push notifications via Slack, email, WhatsApp, or SMS with context
  • Action tracking tied to specific retention metric movements
  • Impact verification after changes to flows, segments, or content
RACI accountability matrix loading

Correlations that tell you where to invest your email programme.

You run welcome flows, browse abandonment, cart abandonment, post-purchase, winback, VIP, sunset, and more. Some drive meaningful retention outcomes. Some are noise. KPI Tree runs statistical analysis across your entire retention metric tree to surface which flows have a real, measurable relationship with customer lifetime value. Stop evaluating flows by their internal metrics and start understanding their system-level contribution to your business.

  • Pearson correlations between flow engagement and customer LTV
  • Granger causality testing to identify leading retention indicators
  • Partial correlations controlling for purchase frequency and average order value
  • Statistical significance thresholds so you act on signal, not noise
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Klaviyo data analysed off-warehouse, accessible to your whole team.

KPI Tree syncs Klaviyo metrics from your warehouse on a configurable schedule. All downstream analytics - correlations, regressions, outlier detection, comparisons - run in KPI Tree's engine. Your email team checks flow performance. Your e-commerce lead checks attributed revenue. Your CEO checks retention trends. None of them fire a warehouse query. Your data team built the pipeline; KPI Tree makes sure every stakeholder gets value from it.

  • One scheduled query per metric, regardless of team size
  • All analytics computation runs off-warehouse
  • Supports Snowflake, BigQuery, and other major warehouses
  • Works alongside your existing dbt semantic layer if you have one
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How KPI Tree uses Klaviyo data differently

Klaviyo has excellent built-in reporting for flow and campaign performance. BI tools put that data in dashboards. KPI Tree connects retention marketing metrics to customer lifetime value with causation, ownership, and accountability.

From flow reports to retention system understanding

Klaviyo reports show per-flow performance. KPI Tree connects those metrics into a causal tree that models how your entire email and SMS programme drives first purchase, repeat purchase, and lifetime value. That is not a different report format - it is a different way to understand retention.

Statistical analysis across your full e-commerce stack

Klaviyo's analytics are limited to its own data. KPI Tree correlates Klaviyo flow metrics with Shopify order data, Stripe revenue, Google Analytics traffic, and any other data in your warehouse - revealing cross-tool relationships that single-platform reporting cannot surface.

Metric-level ownership for retention teams

Most tools give everyone the same dashboard. KPI Tree assigns responsibility for specific metrics to specific people. Your automation specialist and your e-commerce manager see different metrics, get different alerts, and track different actions - each focused on what they can actually influence.

Metrics you can track

25 Klaviyo metrics ready to add to your metric trees.

Abandoned Cart Recovery Rate

Email Marketing

Metric Definition

Cart Recovery Rate = (Recovered Carts / Total Abandoned Carts) x 100

Abandoned cart recovery rate measures the percentage of shoppers who abandon their cart but subsequently complete a purchase after receiving a Klaviyo cart abandonment flow. It quantifies the direct revenue impact of your automated recovery messaging and the effectiveness of your abandonment strategy.

View metric

Campaign Performance Comparison

Email Marketing

Metric Definition

Campaign performance comparison evaluates Klaviyo campaigns against each other on engagement, conversion, and revenue metrics. It identifies which campaign types, themes, and strategies consistently outperform others, providing evidence for editorial and promotional planning decisions.

View metric

Click-Through Rate

Email Marketing

Metric Definition

Click-Through Rate = (Unique Clicks / Emails Delivered) x 100

Click-through rate measures the percentage of delivered Klaviyo emails where the recipient clicked at least one link. It indicates how effectively your email content and calls to action drive recipients to take the next step in their customer journey.

View metric

Coupon Redemption Rate

Email Marketing

Metric Definition

Coupon Redemption Rate = (Coupons Redeemed / Coupons Distributed) x 100

Coupon redemption rate measures the percentage of Klaviyo email recipients who use a distributed coupon code to complete a purchase. It quantifies the effectiveness of promotional offers in driving conversions and provides insight into price sensitivity across different customer segments.

View metric

Cross-Sell Email Effectiveness

Email Marketing

Metric Definition

Cross-sell email effectiveness measures how successfully Klaviyo cross-sell and product recommendation emails drive additional purchases. It evaluates whether personalised product suggestions in post-purchase flows and campaigns generate incremental revenue beyond what customers would have purchased organically.

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Customer Journey Flow Analysis

Email Marketing

Metric Definition

Customer journey flow analysis maps how Klaviyo subscribers progress through interconnected automated flows - from welcome series through post-purchase nurture to loyalty and winback sequences. It evaluates whether the overall flow architecture effectively guides customers through their lifecycle.

View metric

Customer Lifetime Value (Email)

Email Marketing

Metric Definition

Email LTV = Average Email-Attributed Revenue per Customer x Average Customer Lifespan

Customer lifetime value from email measures the total revenue generated over the full customer relationship that is attributable to Klaviyo email and SMS engagement. It connects email programme investment to long-term customer value, providing the ultimate measure of retention marketing effectiveness.

View metric

Email Attribution Analysis

Email Marketing

Metric Definition

Email attribution analysis evaluates how Klaviyo email and SMS touchpoints contribute to conversions across multi-touch customer journeys. It compares attribution windows, models how email interacts with other channels, and determines whether email initiates, assists, or closes conversions.

View metric

Email Deliverability Rate

Email Marketing

Metric Definition

Deliverability Rate = (Emails Delivered / Emails Sent) x 100

Email deliverability rate measures the percentage of Klaviyo emails that are successfully delivered to recipients' inboxes without bouncing. It encompasses hard bounces, soft bounces, and spam folder placement to assess the technical health of your email programme and sender reputation.

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Email Engagement Cohort Analysis

Email Marketing

Metric Definition

Email engagement cohort analysis groups Klaviyo subscribers by their signup date or acquisition source and tracks how their engagement evolves over time. It reveals whether newer cohorts engage as well as older ones and how quickly engagement decays after initial subscription.

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Email Engagement Scoring

Email Marketing

Metric Definition

Email engagement scoring assigns a composite score to each Klaviyo subscriber based on their open, click, purchase, and recency patterns. It provides a unified view of subscriber engagement that goes beyond any single metric to identify highly engaged, at-risk, and disengaged subscribers.

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Email Frequency Optimisation

Email Marketing

Metric Definition

Email frequency optimisation analyses the relationship between Klaviyo sending cadence and subscriber engagement, conversion, and unsubscribe outcomes. It identifies the optimal frequency for different segments that maximises revenue without accelerating list attrition.

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Email List Health Score

Email Marketing

Metric Definition

Email list health score is a composite metric combining Klaviyo list growth rate, engagement distribution, bounce rate, complaint rate, and unsubscribe rate to produce a single indicator of overall list quality. It assesses whether your subscriber base is growing, engaged, and deliverable.

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Email Open Rate

Email Marketing

Metric Definition

Open Rate = (Unique Opens / Emails Delivered) x 100

Email open rate measures the percentage of delivered Klaviyo emails that were opened by recipients. While affected by Apple Mail Privacy Protection and other privacy features, it remains a useful directional indicator of subject line effectiveness, sender reputation, and brand affinity when tracked consistently.

View metric

Email Revenue Attribution

Email Marketing

Metric Definition

Email revenue attribution measures the total revenue attributed to Klaviyo email and SMS campaigns and flows within a defined attribution window. It quantifies the direct revenue contribution of your email programme and tracks how that contribution changes over time.

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Email ROI

Email Marketing

Metric Definition

Email ROI = ((Email-Attributed Revenue - Email Programme Cost) / Email Programme Cost) x 100

Email ROI measures the return on investment for your Klaviyo email programme by comparing attributed revenue against total email programme costs - including platform fees, design resources, copywriting, and operational overhead. It quantifies the financial efficiency of your entire email operation.

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Event-Triggered Flow Performance

Email Marketing

Metric Definition

Event-triggered flow performance measures the engagement, conversion, and revenue outcomes of Klaviyo flows triggered by customer behaviour events - such as browse abandonment, cart abandonment, post-purchase, and winback triggers. It evaluates how effectively your automated responses capitalise on behavioural signals.

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Flow Conversion Rate

Email Marketing

Metric Definition

Flow Conversion Rate = (Flow Conversions / Flow Recipients) x 100

Flow conversion rate measures the percentage of recipients who enter a Klaviyo automated flow and subsequently complete the desired conversion action - such as a purchase, signup, or re-engagement. It quantifies how effectively your automated sequences drive their intended outcomes.

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Form Conversion Rate

Email Marketing

Metric Definition

Form Conversion Rate = (Form Submissions / Form Views) x 100

Form conversion rate measures the percentage of visitors who view a Klaviyo signup form or popup and submit their information. It quantifies how effectively your email acquisition touchpoints convert anonymous visitors into identifiable, contactable subscribers.

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List Growth Rate

Email Marketing

Metric Definition

List Growth Rate = ((New Subscribers - Unsubscribes - Bounces) / Total Subscribers at Start) x 100

List growth rate measures the net rate at which your Klaviyo subscriber list expands over a given period, accounting for new subscriptions, unsubscribes, bounces, and manual removals. It indicates the trajectory of your addressable email audience and the sustainability of your acquisition efforts.

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Profile Enrichment Rate

Email Marketing

Metric Definition

Profile Enrichment Rate = (Profiles with Key Fields Populated / Total Profiles) x 100

Profile enrichment rate measures the percentage of Klaviyo subscriber profiles that have key data fields populated beyond the basic email address - such as name, preferences, purchase history, location, and behavioural attributes. It indicates how much personalisation data is available for targeting and content customisation.

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Repeat Purchase Rate (Email)

Email Marketing

Metric Definition

Repeat Purchase Rate = (Email-Engaged Customers with 2+ Purchases / Total Email-Engaged Customers) x 100

Repeat purchase rate from email measures the percentage of Klaviyo email-engaged customers who make a second or subsequent purchase within a defined period. It quantifies how effectively your email programme drives purchase frequency and customer retention beyond the initial transaction.

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Segment Performance Analysis

Email Marketing

Metric Definition

Segment performance analysis compares engagement, conversion, and revenue metrics across different Klaviyo audience segments. It evaluates whether your segmentation strategy effectively identifies distinct audiences with different needs and whether each segment receives appropriately targeted messaging.

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Template Performance Optimisation

Email Marketing

Metric Definition

Template performance optimisation evaluates how different Klaviyo email template designs, layouts, and structures affect engagement and conversion metrics. It identifies which design patterns - image-heavy versus text-based, single-column versus multi-column, short versus long - produce the best outcomes for different message types.

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Unsubscribe Rate

Email Marketing

Metric Definition

Unsubscribe Rate = (Unsubscribes / Emails Delivered) x 100

Unsubscribe rate measures the percentage of Klaviyo email recipients who opt out of future communications after receiving a message. It serves as a direct indicator of message relevance, frequency appropriateness, and the overall health of the relationship between your brand and its subscribers.

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Common questions

Yes, and that is the most common reason ecommerce teams wire Klaviyo into KPI Tree. MCP is the fastest path: KPI Tree queries the Klaviyo Profile and Events APIs directly, reads flows, campaigns, segments, placed orders, and SMS sends, and produces attribution trees that link sends to opens to clicks to orders to revenue. High-volume Klaviyo accounts that have already built a warehouse replication via Fivetran, Hightouch, or the Klaviyo BigQuery Destination point KPI Tree at the warehouse instead and inherit the identity resolution they already invested in. Ecommerce teams that want Klaviyo attribution built for them engage our professional services team, which typically pairs the Klaviyo connector with Shopify or Stripe so the revenue numbers match the store of record.
Any metric you can derive from your Klaviyo warehouse tables - email open rates, click-through rates, placed order rates, revenue per recipient, list growth rate, unsubscribe rate, bounce rate, SMS delivery rate, flow completion rate, and attributed revenue by flow, campaign, or segment. If it is in your warehouse, you can build a metric from it.
Yes - this is the most common setup. Build a metric tree where Klaviyo flow engagement feeds into Shopify order data, Stripe revenue metrics, and Google Analytics traffic. KPI Tree runs correlations across all of them to show which email and SMS flows actually drive purchases and lifetime value.
No. KPI Tree can pull Klaviyo data directly via MCP with no warehouse required. If you do have a warehouse, KPI Tree connects to it regardless of how the data got there. And if you need a warehouse but do not have one yet, our Professional Services team can build the full data foundation - Snowflake/BigQuery, Fivetran, and dbt - for you.
If you use MCP or already have Klaviyo data in a warehouse KPI Tree supports, setup takes under an hour. Connect via MCP or point KPI Tree at your warehouse, define metrics from your Klaviyo data, and start building trees. If you need a warehouse built from scratch, our Professional Services team handles that for you.
No. Klaviyo's built-in analytics are excellent for flow-level and campaign-level optimisation - open rates, A/B test results, segment performance. KPI Tree adds the layer above: connecting those metrics to customer retention and lifetime value with causal trees, ownership, and cross-tool statistical analysis.
You define the SQL behind each metric, so you can track at whatever granularity your warehouse tables support - individual flow steps, full flows, campaigns, segments, or aggregate totals. Most e-commerce teams build a hierarchy: aggregate retention metrics at the top, with flow and segment breakdowns beneath.
You have two options. Use MCP to pull Klaviyo data directly into KPI Tree - no warehouse needed, ideal for getting started quickly. Or engage our Professional Services team, who will build a production-grade data foundation (Snowflake/BigQuery, Fivetran, and dbt) tailored to your stack, giving you richer historical data and the ability to join Klaviyo metrics with Shopify order data and Stripe revenue.

Related guides

Deep dives into the frameworks and metrics that work with Klaviyo.

Your Klaviyo flows drive retention. Make sure you can prove it.

Connect your warehouse to KPI Tree and turn Klaviyo email and SMS metrics into causal trees with ownership, statistical analysis, and accountability. See which flows drive lifetime value - and who is responsible for each one.

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