Sample report

What lands in your inbox.

A real report’s structure on a demo run. Every figure below is computed by the same functions that run on live tests.

Idea

RoomFit

Ran: 18 to 20 Aug 2026
Ad spend: $153.70
Visits: 187

Promising

The verdict

It’s promising.

Real interest: 5.3%; 10 emails from 187 visits
Cost to find a lead: $15.37; $153.70 in ads, $0.82 per visit
Lost at the form: 71%; 24 of 34 signups left unfinished

Act on the signal

There is real interest. Build the smallest version. Test their willingness to pay.
7 out of 10 visitors who clicked signup left no email. Clarify the offer.
Each lead costs $15+. Check your margins before you scale.
Strongest response: women, ages 25 to 34, London and Instagram on mobile. Aim your next ads there.

What the interest tells you

5.3% lands in Promising: above your 5% target, below the 7.5% build zone.

Scale: share of visits showing real interestLikely range, 3.7% to 7.0%95% range, 2.9% to 9.6%

Next steps

Build the smallest useful version. Then ask these leads to pay for it.
Another 3 days would cost about $153.70. The current 2.9% to 9.6% range could narrow to 3.5% to 8.1%.That would still be too uncertain for a full build. Skip the extra run for now. ^†

What people did

— Not available
What happened	Total	Share of step above	Ad cost each
Saw the ad	25,250	—	—
Clicked the ad	187	0.7%	$0.82
Started the signup	34	18.2%	$4.52
Left an email address	10	29.4%	$15.37
Ad spend, total	$153.70

See daily numbers

Day	Saw	Clicked	Started	Emails	Spend
18 Aug 2026	9,840	71	12	3	$58.20
19 Aug 2026	11,230	84	15	5	$69.10
20 Aug 2026	4,180	32	7	2	$26.40

Next steps

24 people opened the form and walked away.

Say what people get for their email address.
Check whether more people finish signing up before increasing spend.

What a customer would cost

Getting the email address of an interested customer (lead) cost $15.37 in the experiment. Below calculations are based on this figure and other estimates you can change.

Start with the idea’s assumptions

The plan assumes a $600.00 sale and $400.00 to make and deliver it. Adjust the buyer rate or margin below.

Share of leads who buy

Money left from each sale

Sale price minus the cost to make and deliver it.

Ads to get one customerCost per lead divided by the share who buy: $76.85
Left after paying for adsMoney left from the sale, minus those ads: $123.15
Leads who must buy to cover adsOut of every 100 leads you collect: 7.7%
Signup rate needed to cover adsThis test measured 5.3%: 2.1%

Calculation and exclusions

Next steps

These assumptions leave $123.15 per sale after ads, before other costs.

Ask these leads to buy at the planned $600.00 price.
Check that at least 7.7% of leads buy to cover ads before increasing spend.

Who it appeals to

Meta reports who saw the ad, who clicked it and what each click cost. Groups above the 0.74% average click rate responded best. Each click cost $0.82 on average.

Age range	Visits	% of visits	Click rate	Cost per click
18 to 24	11	6%	0.35%	$1.05
25 to 34, strongest response	72	39%	0.96%	$0.74
35 to 44	57	30%	0.82%	$0.81
45 to 54	30	16%	0.70%	$0.86
55 to 64	12	6%	0.54%	$0.95
65 and over	5	3%	0.43%	$1.10

Gender	Visits	% of visits	Click rate	Cost per click
Women, strongest response	118	63%	0.87%	$0.76
Men	66	35%	0.60%	$0.93
Not stated	3	2%	0.51%	$0.88

Country and region	Visits	% of visits	Click rate	Cost per click
London, strongest response	64	34%	0.94%	$0.79
South East England	38	20%	0.77%	$0.81
North West England	22	12%	0.65%	$0.80
Scotland	15	8%	0.63%	$0.78
Rest of the UK	48	26%	0.63%	$0.90

Device and platform	Visits	% of visits	Click rate	Cost per click
Instagram on mobile, strongest response	101	54%	0.85%	$0.78
Facebook on mobile	58	31%	0.63%	$0.84
Facebook on desktop	21	11%	0.80%	$1.02
Meta Audience Network	7	4%	0.46%	$0.68

Highlighted: the highest click rate in each breakdown among groups with at least 20 visits.

Next steps

Write the next ads for the highlighted groups.
Each group has only a few dozen visits. Keep the other groups in the next test to confirm the pattern. ^‡

Your idea, measured the same way.

Build and publish your page free. $50 unlocks the ads, your leads and this report, and you decide the ad spend. You keep the page, the ads and the whole record.

Test my idea free →How the test works

Notes

The range and the bands. The 95% confidence range is 2.9% to 9.6%; a wide range means a small sample, not a weak idea. The box on the chart is the likely range: one standard error either side of 5.3%, about 3.7% to 7.0%, where the true rate sits roughly two times in three. Band edges are set during planning: kill below 1%, revise to 2%, hold to 5%, promising to 7.5%, build above that. The verdict also accounts for how much evidence the test has.
Decision thresholds. Set before payment: stop line 2%, target 5%, build zone from 7.5%.
The example plan. The interest target is 5%. The planned $0.82 cost per visit divided by that target gives a $16.40 cost-per-lead target, below the $40.00 break-even ceiling from the sale margin and assumed buyer rate. The example also assumes a 50% form-completion target. These are illustrative planning choices, not industry benchmarks.
Further sampling. The illustration repeats the same daily spend, cost per visit and signup rate: 3 more days, 187 more visits and 10 more leads. Both ranges use the same 95% Wilson interval calculation. Actual results and the verdict may differ. Keep any extension within your approved spend cap.
Calculation and exclusions. Customer cost is cost per email divided by the share who buy. Excludes overheads, taxes and the platform fee.
Audience groups. Meta reports ad views, clicks and spend for each breakdown separately. Each breakdown adds up to the run’s totals, but the breakdowns do not combine into one profile. Click rate is clicks divided by ad views; cost per click is that group’s ad spend divided by its clicks. Email signups are not split by group. Groups with fewer than 20 visits are not ranked. With this few visits, differences between groups show a direction, not proof.

Read the full method →