Your contact strategy is either tested or it is assumed.

Most businesses assume. Assumptions compound.
Test results don’t.

Splits your visitors. Measures what converts. Scales the winner. Carries every learning forward into the Contact Orchestrator’s next decision.

Hypothesis live

A
vs
B
A
0.0%
B
0.0%

Trusted by leading European enterprises

Up to 0 Lift in qualified leads from the same traffic
0 Calls and leads handled on behalf of clients in 2025
Up to 0 Lift in ROAS when calls and forms become visible to your bidding platforms

Most of your contact strategy is assumed.

You assume a callback offer outperforms a phone number. You assume a 30-second slide-in beats a 60-second one. You assume showing a contact prompt mid-checkout helps more than it hurts. Some of those assumptions are correct. Some are quietly costing you. Without a test, you don’t know which.

Conversion rate, untested

Assumed Actual

How it works

Split your visitors. Measure what converts. Scale what works.

Split

Visitor pool divided 50/50 — control group sees the current experience, impression group sees the challenger. Both run side by side, against the same audience.

Measure

Both groups measured against the metrics that matter — contact rate, lead quality, conversion to sale. Tests run until results reach statistical significance, not until you get the answer you wanted.

Scale

Winner rolls out. Loser retires. The Contact Orchestrator carries the learning into every future decision automatically.

Real performance data decides

Not opinions. Not gut feel. Every test produces a result — contact rate, conversion rate, lead quality — and the data picks the winner.

Test anything

Engagement designs, contact formats, trigger timing, channel options, copy, placement. Any element the Contact Builder can deliver, A/B Testing can measure.

No development cycles

Tests go live directly in the platform. No release windows, no website changes, no waiting on engineering.

What A/B Testing does.

  • Splits. Visitors divided into control and impression groups, deterministically and consistently across sessions.
  • Measures. Contact rate, lead quality, conversion to sale — against statistical significance, not noise.
  • Scales. Winners ship, losers retire, and every result feeds the Contact Orchestrator’s next decision.

Testing is not a one-off exercise — it is how the system improves continuously.

Live results

Splitting visitor stream 50 / 50, measuring against converted contacts.

Questions your contact strategy can’t answer without a test.

Callback vs direct call

Does offering a callback on your pricing page generate more qualified leads than showing your direct sales number? One drives volume. One drives intent. The answer depends on your visitors, your product, and your sales team’s capacity. Test it.

Timing

Does a slide-in at 30 seconds outperform one at 60? Does showing a contact option on page entry perform better than showing it on exit intent? Timing assumptions are some of the most consequential and least tested decisions in contact strategy.

Channel mix

Should high-intent visitors see a phone number, a callback offer, or a contact selector? The right answer varies by segment, by campaign origin, and by page. A/B Testing tells you which combination converts at the highest rate for each context.

Suppression vs show

Does showing a contact option to a visitor mid-checkout increase sales-assisted conversions or cannibalise self-service completions? This is the question most businesses avoid because they do not want to find out. Test it and know.

Testing that doesn’t slow your team down.

Tests go live directly in the platform. No development cycles, no release windows, no coordination with engineering. The Contact Orchestrator handles the split, the Contact Builder serves both variants, and the results land in the same dashboard your team already uses.

You don’t run a research project — you run a test. The system runs the rigour.

Talk to an expert

Baseline Test running New baseline

Single variant Live · 2 min ago ↑ 35% lift

A Direct call
Call us now
0% conversion
B Callback offer
Get a callback
0% conversion
All traffic on A Receiving traffic Variant B is live

A/B Testing measures.
The Contact Orchestrator decides.

A/B Testing produces the results. The Contact Orchestrator carries them into every future decision — visitors who behave like the converters in your last test get the winning treatment, automatically.

One measures what works. One acts on what was measured. Together, your contact strategy gets sharper with every cycle.

Explore Contact Orchestrator

What our clients say

At Tryg we have used bmetric for several years. In part to gain insight as to why customers are calling, so we can offer better help, faster; and in part to make sure that our user experience is the best possible across channels, whether you want to buy online or talk to our sales department. bmetric has always delivered swift and high-quality service.
Jens Petersen Head of Online, Tryg Forsikring
Call-Tracking + Contact Personalisation

Perspectives

Thinking we’ve been sharing lately

Ready to see it?

See which contact strategy actually converts — with data, not assumptions.

Book a demo and we’ll show you how bmetric’s A/B Testing measures contact strategy performance against the metrics that matter: contact rate, lead quality, and conversion to sale.

We’ll contact you as soon as possible.

We’ll be in touch.

Thanks for reaching out — we’ll follow up with you shortly.

Mads-Emil, bmetric CEO

“Every test makes the next decision smarter. That’s the whole game.”

Mads-Emil · CEO, bmetric