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CTA comparison

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CTA comparison in the Analyze area (Behavior) — route /analyze/cta.

Updated Reviewed

CTA comparison lives in the Analyze area of the dashboard, under Behavior.

At a glance#

Dashboard route/analyze/cta
AreaAnalyze (analyze)
GroupBehavior
PlatformsWeb apps only. Hidden for mobile apps.

What it does#

CTA comparison ranks your calls to action by click-through rate — clicks divided by impressions. Both sides come from autocapture: click events and impression events, with no bespoke instrumentation to add.

Dividing by impressions rather than by page views is the whole point. A CTA with few clicks might be ineffective, or it might simply never be seen — and those are opposite problems with opposite fixes. Only a view-rate distinguishes them.

When to use it#

When conversion is lower than you expect and you need to know which element is responsible. Also whenever you have several CTAs competing on one page: this is the view that tells you they are competing, and which one is losing.

Workflow#

  1. Sort by CTR, then check impressions

    A 40% CTR on 20 impressions is not a finding. Read both columns together.

  2. Separate "not seen" from "not clicked"

    Low impressions means a placement problem — see scroll maps. High impressions with low CTR is a copy or design problem.

  3. Look for cannibalisation

    Two CTAs on one page each getting mediocre CTR usually beat one clear CTA when combined into it.

  4. Slice by segment before rewriting

    A CTA that works for returning users and fails for new ones does not need new copy; it needs to not be shown to the wrong audience.

Permissions and prerequisites#

Web apps only — CTAs and impressions are HTML concepts. Requires autocapture, including impression reporting, in the SDK.

Limits and edge cases#

  • An impression means it entered the viewport, not that it was noticed. CTR is therefore a floor on how ineffective a CTA is, not a measure of attention. Pair with attention maps.

  • Autocapture identifies elements structurally. A refactor that changes markup can make an element look new, splitting its history in two.

  • A click is not a conversion. People click and abandon. Follow the CTA into a funnel before celebrating.

  • Very small samples produce dramatic rates. Ignore rows with low impressions.

Troubleshooting#

A CTA I know exists is missing. Autocapture did not identify it, or it was never in a viewport during the window. Check that impression reporting is enabled.

CTR above 100%. Clicks recorded without a matching impression — usually an element clicked before its impression fired, or a programmatic click. Treat the row as unreliable.

Where the data comes from#

Click-through rate is autocaptured clicks over autocaptured impressions, so it needs impression reporting as well as click reporting.

From the SDK

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  • Ingestion

CTA comparison · Analyze · Dashboard · ScaleBun