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Experimentation and personalization · October 2026 Edition

Convert Experiences vs PostHog

One of fourteen models named Convert Experiences first on the direct prompt; zero named PostHog. Convert Experiences was named by fourteen of the fourteen models and PostHog by eleven and Convert Experiences carries 33 labels and PostHog 19, so the shares are not directly comparable.

Convert Experiences

accepted challenger

Named in one category this edition.

PostHog

accepted challenger

Named in seven categories this edition.

First-choice share24%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 12; printed, not drawn.
Labels3319A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Convert Experiences reading right to left. Rank and label count are printed, not drawn.VWO was named alongside these two in eleven of the fourteen direct answers. VWO vs Convert Experiences · VWO vs PostHog · Convert Experiences vs GrowthBook

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the experimentation and personalization page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Convert ExperiencesFirst choices, of fourteen modelsPostHog
Direct101 against PostHog
Paraphrase100
Comparative00
Budget-constrained22
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Convert Experiences and PostHog stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Convert Experiences PostHog first choice named as an alternative argued againstblank: not namedEach cell is one answer, Convert Experiences on the left and PostHog on the right.

The direct prompt

The plain question, one answer per model, grouped by where Convert Experiences and PostHog stood in it.

Convert Experiences first, PostHog not the choice

1 of 14 modelsPostHog was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashConvert Experiences, Mutiny alternatives: Abmatic AI, VWO

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashVWO alternatives: Abmatic AI, Croct, Ploy, PostHog
Grok 4.1 FastVWO alternatives: AB Tasty, Convert Experiences, Mutiny
Qwen 3.7 FlashVWO alternatives: AB Tasty, Convert Experiences, Mutiny
Kimi K2VWO alternatives: Intellimize, Mutiny, PostHog

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5VWO alternatives: Mutiny
GPT-5.4 miniKameleoon alternatives: Optimizely Web Experimentation, VWO Testing
Perplexity SonarVWO alternatives: Personyze
Mistral SmallOptimizely Web Experimentation, Personyze alternatives: Kameleoon
Llama 4 MaverickOptimizely Web Experimentation alternatives: HubSpot, Kameleoon, Personyze
GLM 4.7 FlashXMutiny alternatives: Abmatic AI, VWO
MiniMax M2.5Markettailor, VWO alternatives: AB Tasty, Mutiny
GPT-6 LunaVWO alternatives: Optimizely CMS
Muse Glimmer 30BMutiny, VWO alternatives: HubSpot, Kameleoon, Personyze

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Convert Experiences leads by ten points.
Convert Experiences13%#2 of 14
PostHog3%#6 of 14
The full small business standing →
Mid-marketThe figures above
Convert Experiences leads by twenty points.
Convert Experiences24%#2 of 12
PostHog4%#7 of 12
The full mid-market standing →
Enterprise
Convert Experiences leads by three points.
Convert Experiences3%#7 of 11
PostHog0%#– of 11
The full enterprise standing →

What the models said about Convert Experiences

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“I would recommend Convert.com (Convert Experiences) as the A/B testing and personalization tool for a mid-sized B2B company.” Llama 4 Maverick · paraphrase prompt · first choice
“I'd recommend Convert Experiences (also known as Convert.com) as the top A/B testing and personalization tool.” Grok 4.1 Fast · paraphrase prompt · first choice
“the most commonly recommended A/B testing and personalization tools are Convert Experiences and VWO” Mistral Small · paraphrase prompt · first choice

What the models said about PostHog

No label in this category carried a quote.

Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.