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Experimentation and personalization · September 2026 Edition

Mida vs Statsig

Zero of twelve models named Mida first on the direct prompt; zero named Statsig. Mida was named by eight of the twelve models and Statsig by ten and Mida carries 11 labels and Statsig 21, so the shares are not directly comparable.

Mida

accepted challenger

Named in one category this edition.

Statsig

accepted challenger

Named in three categories this edition.

First-choice share11%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 14; printed, not drawn.
Labels1121A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Mida reading right to left. Rank and label count are printed, not drawn.VWO was named alongside these two in eleven of the twelve direct answers. VWO vs Mida · VWO vs Statsig · Mida vs Convert

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
MidaFirst choices, of twelve modelsStatsig
Direct00
Paraphrase00
Comparative00
Budget-constrained611 against Statsig
Scale-constrained01
Negative002 against Statsig
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Mida and Statsig 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
Mida Statsig first choice named as an alternative argued againstblank: not namedEach cell is one answer, Mida on the left and Statsig on the right.

The direct prompt

The plain question, one answer per model, grouped by where Mida and Statsig stood in it.

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Mutiny alternatives: AB Tasty, Abmatic AI, Mida, VWO

Neither was named

11 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniOptimizely CMS alternatives: Kameleoon, VWO
Gemini 3.5 FlashVWO alternatives: Abmatic AI, Markettailor, Userled, Webflow Optimize
Perplexity SonarVWO alternatives: Convert, Mutiny
Grok 4.1 FastVWO alternatives: Convert Experiences, Kameleoon, Personyze
Mistral SmallPersonyze alternatives: Abmatic AI, VWO
DeepSeek V4 FlashVWO alternatives: Convert Experiences, Kameleoon, Mutiny
Llama 4 MaverickPersonizely, Personyze, VWO
Qwen 3.7 FlashKameleoon, VWO alternatives: Mutiny, Personizely
Kimi K2VWO alternatives: Intellimize, Mutiny
GLM 4.7 FlashXConvert Experiences alternatives: Kameleoon, VWO
MiniMax M2.5Personizely, Personyze alternatives: Convert

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
Mida leads by ten points.
Mida10%#2 of 15
Statsig0%#10 of 15
The full small business standing →
Mid-marketThe figures above
Mida leads by eight points.
Mida11%#2 of 14
Statsig4%#7 of 14
The full mid-market standing →
Enterprise
The order flips: Statsig leads at enterprise.
Statsig2%#7 of 11
Mida0%#– of 11
The full enterprise standing →

What the models said about Mida

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

“Top Pick for Free: Mida is the most generous free option with a true visual editor” Kimi K2 · budget prompt · first choice
“Start with Mida if you need a no-code solution with generous free tier” Mistral Small · budget prompt · first choice
“Top Pick: Mida.so (Free Forever Tier Up to 100k Monthly Tested Users)” Grok 4.1 Fast · budget prompt · first choice

What the models said about Statsig

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

“Proceed with awareness of roadmap ... some product teams have expressed concern over its long-term roadmap” Gemini 3.5 Flash · negative prompt · soft negative
“Major ownership instability ... per-event pricing penalizes experimentation culture” Kimi K2 · negative prompt · soft negative
“But require devs (no visual editors), best if you have engineering resources.” Grok 4.1 Fast · budget prompt · soft negative
“I'd recommend starting with Statsig if you have technical resources” GLM 4.7 FlashX · budget prompt · first choice
“I'd suggest evaluating Statsig or VWO first” Kimi K2 · scale prompt · first choice
Also compared
VWO vs MidaVWO vs StatsigMida vs ConvertMida vs Convert ExperiencesMida vs Optimizely CMSMida vs KameleoonMida vs GrowthBookConvert vs StatsigConvert Experiences vs StatsigOptimizely CMS vs StatsigKameleoon vs StatsigStatsig vs GrowthBookAll twenty-eight head-to-head pages and the full experimentation standing

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.