Metric — Conversion rate
Last updated: May 19, 2026
Metric — Conversion rate
Conversion rate (CR) = (conversions ÷ clicks) × 100. Percentage of ad clickers who completed the goal action (purchase, signup, lead). Typical ranges vary widely by industry. Low CR + high CTR signals a post-click problem (landing page, offer, friction) — NOT an ad creative problem. High CR + low CTR = strong-intent audience but small (may need to broaden).
Who is this for
Anyone seeing the conversion-rate column and unsure what's "good" or what to do about it.
What CR measures
Conversion rate (CR) = (Conversions ÷ Clicks) × 100
Example: 200 clicks → 6 purchases = CR 3%.
Distinct from:
CTR (click-through rate) —
clicks ÷ impressions(engagement with ad)CPA —
spend ÷ conversions(cost per result)ROAS —
purchaseValue ÷ spend(revenue per spend)
CR sits between CTR and CPA in the funnel: ad → click (CTR) → conversion (CR) → cost (CPA).
Typical ranges by industry
Industry / Goal | Typical CR |
|---|---|
E-commerce (general) | 1-3% |
E-commerce (luxury) | 0.3-1% |
SaaS / subscription signup | 2-5% |
Lead generation (B2B) | 5-15% |
App install | 5-15% |
Newsletter signup | 10-30% |
Free trial signup | 10-25% |
Demo request | 5-12% |
These are broad benchmarks — your CR varies by:
Audience temperature (cold prospecting vs warm retargeting)
Offer strength
Landing page quality
Friction in the conversion flow
Pricing / perceived value
Time of year (seasonality)
Reading CR alongside CTR
Pattern | Interpretation | Action |
|---|---|---|
High CTR + High CR | Right audience + right offer + good landing | Scale |
High CTR + Low CR | Audience engaged but post-click breaks | Fix landing page / offer / pricing |
Low CTR + High CR | Niche audience converts well; few engage | Broaden audience cautiously |
Low CTR + Low CR | Wrong audience for this offer entirely | Re-think targeting + creative |
CR + CTR together diagnose where in the funnel the leak is.
When low CR is a post-click problem
Symptoms:
Landing page slow (> 3s load time)
Landing page mismatch (ad promised X, page shows Y)
Form too long (multiple required fields, complex captcha)
Pricing surprises (free trial requires CC up-front)
Trust signals missing (no reviews, testimonials, secure badges)
Mobile experience broken (button off-screen, text unreadable)
Fix: optimize landing page / offer; ad creative + targeting are fine.
When low CR is an audience problem
Symptoms:
High CTR but low CR (right interest, wrong context)
Conversions disproportionate to clicks (random pattern)
Bounce rate very high (visitors leave without engaging)
Fix: tighten audience (narrower interests, demographics, custom audiences).
When low CR is a creative problem
Symptoms:
Misleading creative (clickbait that doesn't match offer)
Wrong CTA expectation (creative says "Learn more"; landing wants purchase)
Unclear value proposition in the ad
Fix: align ad messaging with landing page promise.
Where CR matters most
E-commerce optimization
CR is a top KPI. Improving CR has compound effect: better CR + same CTR + same spend = lower CPA + higher ROAS.
Lead-gen quality control
If you measure CR per audience: low-CR audiences may produce junk leads (visitors who don't follow through). Filter / disqualify.
A/B testing landing pages
Hold ad + audience constant; vary landing page; measure CR difference. Statistically significant CR delta = winning landing.
Caveats
Attribution window matters
CR depends on which conversions you count. Meta default: 7-day click + 1-day view. Longer attribution = more conversions credited = higher apparent CR.
Compare CR within the same attribution window.
Postback lag
Conversion data lags 24-72h via Meta API (PRD-19 an-114). Recent days' CR is incomplete — use last_7d minimum for decisions.
See am-121 postback vs Meta conversions.
Cross-platform comparison
CR varies by platform structurally (e.g. Search has higher CR than Display because of intent). Don't compare CR 1:1 across platforms.
View-through conversions
Some platforms count "view-through" conversions (saw ad, didn't click, later purchased). Inflates apparent CR.
Decide if you trust view-through for your business (often does NOT correlate with incremental revenue).
Improving CR systematically
Audit funnel: ad → click → landing → form → confirm → purchase. Identify drop-off points.
A/B test landing pages: hypothesis-driven changes (CTA color, form length, trust signals).
Mobile-optimize: ~70% traffic is mobile; broken mobile = wasted CTR.
Match expectations: ad + landing must tell consistent story.
Reduce friction: minimize required fields, remove distractions, clear CTA.
Add urgency: scarcity, time-limited offers (use ethically).
Social proof: testimonials, reviews, customer logos, certifications.
Pricing transparency: surprise charges kill CR.
CR in Wevion
Single Platform widgets: per-row conversion rate
KPI strip (an-106): conversions (and CR derived if shown)
Rules conditions:
conv_rateis a verified derived metric (see rul-103)Compared via tracker (com-121): tracker-attributed CR may differ from Meta-native; cross-link am-121
Common questions
Is CR more important than CTR?
Depends on the funnel. CTR drives top-of-funnel; CR drives bottom-of-funnel. Both matter; weak link in either kills the whole funnel.
Industry CR I see online seems different from mine
Industry benchmarks aggregate widely. Your specific niche, audience, offer, geography may differ significantly. Use them as ballpark, not target.
Can Wevion auto-optimize for CR?
Yes — via Rules Engine. Create a rule: conv_rate lt 1.5 AND spend gt 50 FOR last_7d → pause. See rul-116 best practices.
What about CR by device?
Mobile vs desktop CR often differs. Some platforms expose device breakdown — analyze separately and optimize per-device experience.
Related
CPA / CPM / CTR — sibling metric reference
ROAS explained — bottom-funnel revenue metric
Postback vs Meta conversions — attribution caveat