Tests stop when they look good
Most campaigns choose a winner before the planned sample is reached, turning ordinary noise into a new playbook rule.
Private beta opening soonCold email changes.
Cold email changes.
Your testing should keep up.
Variantt connects to your outreach stack, learns what works for your company, and turns campaign data into experiments you can actually trust.
No platform migrationConnect in under 10 minutesYour evidence, not generic benchmarks
v.OVCOCAEXEV
Evidence engineWhat the data supports
Live analysisPROVENThis audience only
Shorter emails create more meetings.
The 54-word variant improved meeting-booked rate with the planned sample complete.
Absolute lift+1.27 pp
95% interval+0.24 to +2.31
Evidencep = 0.018
✓
Sample complete2,210 sends per variant
✓
One variable changedEmail length only
Recommended next testLead with the operational costWebsite evidence · one variable
Cold-email testing, rebuilt around your evidence.
10 min to connectNo platform migrationOne variable per testYour data, not benchmarks
Free · no signup · statistically grounded
Is your cold-email winner actually a winner?
Enter two campaign variants and get a plain-English verdict, the probability that the gap is ordinary noise, and the sample you need to resolve it reliably.
Judge the test on
Use delivered sends when available. Pick one primary outcome before looking at the result.
Not enough evidenceTwo-sided test · 95% threshold
Variant B looks 50% better on replies. If the emails were equally effective, a gap at least this large would appear about 26% of the time. To detect a difference this size with 80% power, you would need about 2,517 sends per variant. You have 400 and 400.
Variant A replies3.0%
Variant B replies4.5%
p-value0.264
Observed difference1.50 percentage points
95% interval for B − A-2.30 to 5.28 pp
Sends needed per variant2,517
The problem with cold-email testing
Everyone runs A/B tests. Few produce evidence.
Cold email is too important to optimize through opinions, premature winner badges, and tactics copied from somebody else’s audience.
Too many variables change
A new subject, opening, offer, and CTA launch together. Even when results improve, nobody knows what caused it.
Replies are treated equally
An out-of-office reply and a meeting request both count as replies. The metric moves while the business outcome stays hidden.
How Variantt works
Keep your stack. Add a learning system.
Connect the tools you already use
Keep sending from your existing cold-email platform. Variantt securely collects campaign structure, delivery, and reply outcomes.
See what the evidence supports
Variantt checks sample size, attribution, test design, and outcome quality before calling anything a win.
Run the next useful experiment
Turn company context and past results into one-variable tests with a metric and stopping rule locked before launch.
A different kind of answer
Variantt does not always choose a winner.
It grades what your experiment can honestly support, explains what is missing, and recommends the next action.
- Outcome attribution before comparison
- Pre-registered sample and stopping rule
- Confidence intervals, not vanity lift
- Findings scoped to the tested audience
Founding cohort
Make your next campaign teach you something.
Join the early-access waitlist. We are starting with B2B teams and agencies already running consistent cold-email volume.
01Priority onboarding
02Shape the workflows
03Founding pricing