Customer.io Metric
Marketing Automation
Click-Through Rate = (Unique Clicks / Emails Delivered) x 100
Email click-through rate measures the percentage of delivered Customer.io emails where the recipient clicked at least one link. It indicates how effectively email content drives recipients to take the next step in your desired journey, bridging the gap between opening a message and converting.
Full guide: definition, formula, and benchmarksEmail Click-Through Rate
Email click-through rate measures the percentage of delivered Customer.io emails where the recipient clicked at least one link. It indicates how effectively email content drives recipients to take the next step in your desired journey, bridging the gap between opening a message and converting.
How to calculate email click-through rate
Why email click-through rate matters for Customer.io users
Opens indicate awareness; clicks indicate intent. A high open rate with a low click-through rate suggests your subject lines work but your content or calls to action do not. This metric is the critical middle step between engagement and conversion in your lifecycle messaging funnel.
Positioning click-through rate in your metric tree between open rate and conversion rate reveals whether content quality is the bottleneck in your messaging performance. Statistical correlations show which click-through patterns predict downstream conversions.
Understand and act on email click-through rate with KPI Tree
KPI Tree syncs click-through rate data from your warehouse and positions it within your email engagement metric tree. Track CTR per campaign, workflow, and segment to identify patterns.
Assign RACI ownership to your content team. Set alerts when CTR drops below historical baselines and track optimisation actions such as content changes, CTA adjustments, and layout tests.
Get started with your Customer.io data
Pull metrics from Customer.io directly through the Model Context Protocol.
Connect your existing warehouse where Customer.io data already lands.
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.
Related Customer.io metrics
Email Open Rate
Marketing AutomationMetric Definition
Open Rate = (Unique Opens / Emails Delivered) x 100
Email open rate measures the percentage of delivered Customer.io emails that were opened by recipients. While affected by privacy features like Apple Mail Privacy Protection, it remains a useful directional indicator of subject line effectiveness and sender reputation when tracked consistently over time.
Campaign Conversion Rate
Marketing AutomationMetric Definition
Campaign Conversion Rate = (Conversions / Messages Delivered) x 100
Campaign conversion rate measures the percentage of recipients who complete a desired action after receiving a Customer.io campaign message. It connects message delivery to business outcomes such as purchases, signups, or feature activations, providing a direct measure of campaign effectiveness.
Email Engagement Score
Marketing AutomationMetric Definition
Email engagement score is a composite metric that combines open rates, click-through rates, conversion rates, and recency of interaction to produce a single score representing a Customer.io subscriber's engagement level. It provides a holistic view of subscriber health beyond any single engagement metric.
Email Revenue per Recipient
Marketing AutomationMetric Definition
Revenue per Recipient = Total Attributed Revenue / Emails Delivered
Email revenue per recipient measures the average revenue attributed to each recipient of a Customer.io campaign or workflow. It combines delivery volume with revenue attribution to quantify the monetary value each email generates, providing a direct link between messaging activity and financial outcomes.
Email Unsubscribe Rate
Marketing AutomationMetric Definition
Unsubscribe Rate = (Unsubscribes / Emails Delivered) x 100
Email unsubscribe rate measures the percentage of Customer.io email recipients who opt out of future communications after receiving a message. It serves as a direct indicator of message relevance, frequency appropriateness, and audience-content alignment.
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