How long should a B2B campaign experiment run?
A B2B campaign experiment should run until it reaches statistical significance, which typically requires two to four weeks depending on your traffic volume and budget. The key factor is sample size, not calendar time. Experiments with higher daily budgets and larger audiences reach significance faster. Ending an experiment too early risks acting on noise rather than real performance differences. Most statistical significance calculators recommend at least 100 conversions per variation for reliable results, though B2B campaigns with lower conversion volumes may need to run longer or use directional significance thresholds.
What is the difference between A/B testing and multivariate testing?
A/B testing compares two versions of a single variable (such as two different headlines) while keeping everything else constant. Multivariate testing simultaneously tests multiple variables and their combinations (such as different headlines paired with different images). A/B testing is simpler to set up and requires less traffic to reach significance, making it better for B2B campaigns with smaller audience sizes. Multivariate testing can identify the best combination of multiple elements but requires significantly more traffic to produce reliable results.
How many experiments should a B2B team run per quarter?
High-performing B2B demand generation teams run 15 to 30 experiments per quarter, covering audience targeting, ad creative, offers, landing pages, and channel mix. The specific number depends on your budget (each experiment requires sufficient spend to reach significance), team capacity, and the number of channels you operate. More important than the total count is the quality and documentation of experiments: each should have a clear hypothesis, controlled variables, and defined success criteria. Teams using AI-powered experimentation platforms can run significantly more experiments because the platform automates setup, monitoring, and analysis.
What should you test first in B2B campaign experimentation?
Start with audience targeting experiments because they have the largest impact on campaign performance. Testing different firmographic criteria, job titles, company sizes, or intent-based audiences produces much larger performance swings than testing ad copy variations. After you have identified your best-performing audiences, move to offer testing (what content or call to action converts best), then creative testing (which ad formats and messaging resonate), and finally landing page testing (which page design and form length maximize conversion rates).