A/B tests
An A/B test compares two variants of a campaign under controlled conditions by splitting the calls in a planned way. A/B tests are included on the Enterprise plan.
Last reviewed: 2026-07-22
What A/B tests are in Nexcal
An A/B test compares two variants of a campaign under controlled conditions. The calls are split across the variants in a planned way, so that both run under comparable circumstances. This allows a more reliable judgment of which variant performs better than a comparison made after the fact.
A/B tests are included on the Enterprise plan. They are not available on the Starter, Pro and Power plans; there, the after-the-fact variant comparison is available from the Power plan onwards.
How an A/B test is structured
An A/B test follows a clear flow:
- You define a hypothesis, for example that a different opening increases the appointment share.
- You set up two variants that differ only in this point.
- The calls are split across both variants.
- After enough calls, you compare the results.
The metrics are the same values used in the other analyses, such as the call outcomes and the booking rate.
What an A/B test requires
An A/B test is only worthwhile when enough calls are available. The smaller the expected difference, the more calls are needed to detect it reliably. Do not change the variants during a running test, otherwise the result can no longer be attributed clearly.
Hinweis: A/B tests are available on the Enterprise plan. A result only becomes reliable once both variants have held enough calls.