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Product analytics · September 2026 Edition

Amplitude vs LogRocket

Five of twelve models named Amplitude first on the direct prompt; zero named LogRocket. Amplitude was named by twelve of the twelve models and LogRocket by seven and Amplitude carries 62 labels and LogRocket 10, so the shares are not directly comparable.

Amplitude

accepted challenger

United States. Named in nine categories this edition.

LogRocket

accepted challenger

Named in one category this edition.

First-choice share30%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate21%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 8; printed, not drawn.
Labels6210A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Amplitude reading right to left. Rank and label count are printed, not drawn.Pendo was named alongside these two in ten of the twelve direct answers. Amplitude vs Mixpanel · Amplitude vs PostHog · Amplitude vs Pendo

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 product analytics page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
AmplitudeFirst choices, of twelve modelsLogRocket
Direct50
Paraphrase40
Comparative70
Budget-constrained113 against Amplitude
Scale-constrained40
Negative0010 against Amplitude · 1 against LogRocket
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 Amplitude and LogRocket 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
Amplitude LogRocket first choice named as an alternative argued againstblank: not namedEach cell is one answer, Amplitude on the left and LogRocket on the right.

The direct prompt

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

Amplitude first, LogRocket not the choice

5 of 12 modelsLogRocket was named in the answer but not as the choice, or not at all.
GPT-5.4 miniAmplitude alternatives: Heap, Mixpanel, PostHog
DeepSeek V4 FlashAmplitude alternatives: Mixpanel, Pendo, PostHog
Llama 4 MaverickAmplitude
Qwen 3.7 FlashAmplitude, Pendo alternatives: Heap, Mixpanel
Kimi K2Amplitude alternatives: Heap, Mixpanel, Pendo, PostHog

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Mixpanel alternatives: Amplitude, Heap, June, Pendo
Gemini 3.5 FlashMixpanel alternatives: Amplitude, Pendo, PostHog
Perplexity SonarMixpanel alternatives: Amplitude, Heap, Pendo, PostHog
Grok 4.1 FastMixpanel alternatives: Amplitude, Pendo, PostHog
GLM 4.7 FlashXMixpanel alternatives: Amplitude, Heap, Pendo, PostHog
MiniMax M2.5Pendo alternatives: Amplitude, Heap

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Mistral SmallAmplitude Analytics alternatives: Mixpanel, Pendo, PostHog

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
Amplitude leads by eight points.
Amplitude8%#3 of 8
LogRocket0%#– of 8
The full small business standing →
Mid-marketThe figures above
Amplitude leads by twenty-eight points.
Amplitude30%#1 of 8
LogRocket2%#5 of 8
The full mid-market standing →
Enterprise
Amplitude leads by forty-nine points.
Amplitude49%#1 of 9
LogRocket0%#– of 9
The full enterprise standing →

What the models said about Amplitude

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

“Consistently rated as the most expensive option at scale... A poor fit for cost-sensitive teams” Kimi K2 · negative prompt · hard negative
“Steep learning curve with reliance on technical expertise... Pricing is opaque in ways that create unpleasant surprises at scale” Claude Haiku 4.5 · negative prompt · soft negative
“Moderate Caution ... Teams prioritizing analytical depth → Amplitude (accept cloud-only, invest in taxonomy planning)” Qwen 3.7 Flash · negative prompt · soft negative
“Choose Amplitude if: You have a mature data culture, need the absolute deepest behavioral cohorting and predictive analytics available, and want built-in experimentation.” Gemini 3.5 Flash · scale prompt · first choice
“Some of the top product analytics tools include Amplitude, which is best for mid-size to enterprise teams focused on growth and optimization.” Llama 4 Maverick · direct prompt · first choice
“It is arguably the most robust tool for deep-dive analysis... Choose Amplitude if you have a complex product, big data volumes” Qwen 3.7 Flash · comparative prompt · first choice

What the models said about LogRocket

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

“Session replay tools broadly (FullStory, Hotjar, LogRocket, Smartlook, etc.) - Inherent privacy danger” DeepSeek V4 Flash · negative prompt · soft negative
“such as PostHog, Countly, or LogRocket” Llama 4 Maverick · budget prompt · first choice
“Best for: Developer-focused analytics and debugging” Kimi K2 · comparative prompt · alternative
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.