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Reading the numbers

What conversion rate should I expect?

Updated 19 August 2026 · Thresholds read live from the verdict engine

Short answer

It depends on three things: how warm the traffic is, what you ask for, and what it costs. Cold paid traffic gives an email at 5% to 15% and completes a checkout at 2% to 5%. Warm traffic runs several times higher. Any benchmark you read that omits those conditions is describing a different page from yours.

The number depends on three things

How warm the traffic is

Someone who followed you for a year is not the same visitor as someone who tapped an ad between two videos. Warm traffic converts several times better and runs out quickly, which is why a founder's first landing page often looks brilliant and their first ad campaign looks broken. Both numbers are correct.

What you ask for

Rates fall as the ask gets heavier: a click is easy, an email is a small commitment, card details are a decision. Comparing your checkout rate to a benchmark built from email captures is the single most common mistake in this area.

What it costs

Price and conversion move against each other, and the curve is steep around the psychological levels ($9.99, $49, $99). A 1.5% rate at $99 a year can be worth more than a 3% rate at $29.

Benchmarks worth comparing against

TrafficAskTypical rangeStrong
Cold paid (Meta, TikTok)Email5% to 15%20% and up
Cold paidCard stored, no charge2% to 5%5% and up
Cold paidPaid checkout, no trial1% to 3%4% and up
Search, commercial intentEmail or trial8% to 20%25% and up
Community or newsletterEmail15% to 40%50% and up
Your own audiencePurchase3% to 10%15% and up
Consumer app funnels in English-speaking markets. Published cross-industry benchmarks usually mix lead-generation forms with purchases, which is why they land higher than anything you will see behind a paywall.

Diagnosing a bad rate stage by stage

A single low number is undiagnosable. Split the funnel and work down until you find the first stage below its range.

SymptomMost likely causeFirst thing to change
Clicks are high, page views are lowSlow page, or a redirect eating trafficCompress the image, test on a phone off wifi
Page views are high, nobody presses the buttonThe promise does not match the ad, or the audience is wrongRewrite the headline in the words of the ad that brought them
They press the button and leave immediatelyThe next screen asks for too much too earlyCut fields, move reassurance above the form
They reach the paywall and stopPrice, plan shape, or trustTry the other plan shape before cutting the price
Everything is fine but the rate is still lowThe audience does not have the problemChange the targeting, not the page

Worked example

A 0.9% that was a targeting problem

A budgeting app for freelancers ran at 0.9% on 600 visitors, which reads as a kill. The segment breakdown said otherwise: visitors who answered "self employed" in the quiz converted at 3.1%, and they were a fifth of the traffic. The broad audience was full of employees who did not have the problem.

They narrowed the targeting and reran. 2.6% blended on 480 visitors, at a slightly higher cost per click. The page never changed.

What actually moves the number

Ranked by how much they move it in practice, at validation budgets.

  1. Audience. Showing the same page to people who have the problem changes everything. Nothing else on this list comes close.
  2. The promise. The headline and the ad hook, which have to agree. A rewritten promise routinely doubles a rate.
  3. Price and plan shape. Shape before number: annual with monthly beside it usually beats a discount.
  4. The commitment step. Field count, reassurance placement, and saying plainly that nothing is charged.
  5. Page speed. Free to fix, and it protects every stage below it.
  6. Proof. A named person with a reason to care. Invented testimonials cost more than they earn.
  7. Design polish. Real, and last. A tidy page loses to an ugly page pointed at the right people.

The numbers

For a build decision, the only rate that matters is visitors who completed checkout, and these are the bands the engine applies to it.

Funnel starts before any verdict
30
Below this, don't build
1.0%
At or above this, build
2.0%
Visitors before a segment counts
50
Don't build
Promising
Build
0.0%1.0%2.0%5.0%+
Share of cold visitors who reached for a card. Under 1.0% the idea is dead at this price and angle, 1.0% to 2.0% is within optimisation reach, and 2.0% is where shipped web2app funnels already sit. The scale tops out at 5%, the top of that range.

1% and 2% are set from the web2app cold-traffic range rather than from a general landing page benchmark, because that is the funnel these numbers get compared against.

ResultRate95% rangeConfidenceReads as
9 / 3003%, but only just decided3.00%1.59% to 5.60%mediumBuild
12 / 4003.00%1.72% to 5.17%mediumBuild
8 / 8001%, sitting on the boundary1.00%0.51% to 1.96%mediumPromising
Before you celebrate a rate or condemn one, check whether the range around it agrees. A rate on a threshold stays undecided almost regardless of budget.

How VerifyToLaunch does this

The dashboard shows each funnel stage against the range it should be hitting, so a weak overall number resolves into a specific stage rather than a mood. It also slices by source, country, creative, device and quiz answer, which is how the targeting problem in the worked example above becomes visible. A segment needs enough traffic before it is allowed to carry a reading, so small slices stay grey rather than pretending.

The benchmarks in this guide are industry ranges rather than product settings. The thresholds that decide your verdict are the ones above, and they do not move.

Common questions

What is a good conversion rate for a landing page?
For cold paid traffic asking for an email, 5% to 15% is normal and 20% is strong. For cold paid traffic asking for card details, 2% to 5% is normal and 5% and up is strong. Warm traffic runs several times higher and should never be averaged with cold.
Why is my conversion rate so low?
Split the funnel before answering. Most low rates trace to the audience or to a promise that does not match the ad, and both are cheaper to fix than the page design. If people reach the paywall and stop, price is a live suspect.
How do I compare my rate to a benchmark fairly?
Match three conditions: traffic temperature, what you ask for, and roughly the price. A benchmark that omits any of them is describing a different funnel, and most published ones omit all three.
Is a 1% conversion rate bad?
For a paid checkout on cold traffic it sits at the kill line, which means optimisation rarely bridges it at that price and angle. For a page asking only for an email, 1% means something is broken.

See which stage is losing them

Every stage of the generated funnel is measured against the range it should hit, and sliced by source, country, creative and audience, so a low number resolves into a specific fix.

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