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DraftDraft: statements about other vendors are not independently verified yet. This page is not indexed.

Peak Analytics · Compared with PostHog · DraftDraft · as of 29 Oct 2026 · PostHog not independently verified · Peak Analytics in preview

Events in your product.Or numbers from your business?

PostHog is usually counted among product analytics. Which tools belong to it today and what they cost is for you to check with the vendor; we have not independently verified PostHog. Peak Analytics is a preview for business data: pivots over orders, receipts, tasks, goals and files from your Peak apps. Event, experiment and product analysis are planned, not built. This page sorts the questions, not the features.

What decides it for you?

Which question should the tool answer, and over which data?

See the questions to check
A fair comparison · as of 29 Oct 2026

Events in a product or numbers in a business?

The same questions for Peak Analytics and PostHog. No statement about PostHog that we have not checked.

01 / Your first perspectivePeak AnalyticsPreview, checked in code; planned items marked
02 / Your second perspectivePostHogNot independently verified · check with the vendor

01 / The basis for deciding

Same questions. Honestly answered.

Pick a focus. Each row is a question to settle before you decide. On the left: what Peak Analytics does today or what is planned. On the right: what to check with PostHog yourself. If you need events from a product, you are looking for different data than someone evaluating receipts and tasks.

6 dimensions · Same standard for both options

01 / Evidence filePreview, checked in code; planned items marked

Peak Analytics

The jobPreview: pivots over business data

Rows × columns × measure over orders, receipts, tasks, goals and files. Count, sum, average, minimum, maximum; day, week, month, quarter, year.

Which question should the tool answer, and over which data?

02 / Evidence fileNot independently verified · check with the vendor

PostHog

The jobNot yet evidenced

Check with the vendor which questions are answered there, and whether business data such as receipts or orders is part of it.

Which question should the tool answer, and over which data?

Same questions. Honestly answered.
The criterionPeak AnalyticsPostHog
The jobWhich question should the tool answer, and over which data?Peak AnalyticsPreview: pivots over business data

Rows × columns × measure over orders, receipts, tasks, goals and files. Count, sum, average, minimum, maximum; day, week, month, quarter, year.

Backed by code

Peak Analytics is a preview: pivot over orders, receipts, tasks, goals and files; count, sum, average, minimum, maximum; day to year; CSV export; sharing a released snapshot; largest value as a task.

Source checked:

peak-one app/w/[scope]/apps/analytics, lib/bi/model.ts, lib/views/pivot.ts, lib/bi/share.ts
PostHogNot yet evidenced

Check with the vendor which questions are answered there, and whether business data such as receipts or orders is part of it.

Evidence pending

Not independently verified. We make no statement about other vendors' features, prices or limits. Check them on the vendor's own pages and write down the date and source.

Source checked:

Where the data comes fromDoes anything have to be installed before the first number appears?Peak AnalyticsPreview: data from Peak apps

The sources are created in Peak Profit, Peak Finance, Peak Task and Work, Peak Goals and Peak Docs. No tracking code on your website, no external connectors.

Backed by code

Peak Analytics is a preview: pivot over orders, receipts, tasks, goals and files; count, sum, average, minimum, maximum; day to year; CSV export; sharing a released snapshot; largest value as a task.

Source checked:

peak-one app/w/[scope]/apps/analytics, lib/bi/model.ts, lib/views/pivot.ts, lib/bi/share.ts
PostHogNot yet evidenced

Check what your team has to install, run and maintain before data arrives.

Evidence pending

Not independently verified. We make no statement about other vendors' features, prices or limits. Check them on the vendor's own pages and write down the date and source.

Source checked:

Visits and eventsAre page views, clicks, funnels, cohorts or retention analysed?Peak AnalyticsNot yet evidenced

Website, product and event analysis, funnels, cohorts and retention are planned. Today Peak Analytics records no visits and no clicks.

Evidence pending

Product specification. Capabilities described on this page are planned and not built; none of it is a measurement.

Source checked:

peak-one docs/products/analytics/MASTER_BUILD_SPEC.md (2.1.0, status specified)
PostHogNot yet evidenced

Check with the vendor how events, funnels and experiments are analysed there.

Evidence pending

Not independently verified. We make no statement about other vendors' features, prices or limits. Check them on the vendor's own pages and write down the date and source.

Source checked:

After the findingWhat happens when a number stands out?Peak AnalyticsPreview: a finding becomes a task

The largest value is shown with its share of the total. “Check” turns it into a Peak Task task with a link back to the evaluation. A released snapshot can be shared by link, commented on and revoked.

Backed by code

Peak Analytics is a preview: pivot over orders, receipts, tasks, goals and files; count, sum, average, minimum, maximum; day to year; CSV export; sharing a released snapshot; largest value as a task.

Source checked:

peak-one app/w/[scope]/apps/analytics, lib/bi/model.ts, lib/views/pivot.ts, lib/bi/share.ts
PostHogNot yet evidenced

Ask how a finding becomes a task with an owner.

Evidence pending

Not independently verified. We make no statement about other vendors' features, prices or limits. Check them on the vendor's own pages and write down the date and source.

Source checked:

Cost and limitsWhat does your scope cost, and which limits apply?Peak AnalyticsNot stated

There is no separate Analytics plan. Which Peak One plans include Analytics is not stated. CSV export uses the plan's export allowance.

Backed by code

Peak Analytics is a preview: pivot over orders, receipts, tasks, goals and files; count, sum, average, minimum, maximum; day to year; CSV export; sharing a released snapshot; largest value as a task.

Source checked:

peak-one app/w/[scope]/apps/analytics, lib/bi/model.ts, lib/views/pivot.ts, lib/bi/share.ts
PostHogNot yet evidenced

Check cost and limits for your volume on the vendor's pages, with a date.

Evidence pending

Not independently verified. We make no statement about other vendors' features, prices or limits. Check them on the vendor's own pages and write down the date and source.

Source checked:

Taking your data with youHow do your results get back out?Peak AnalyticsPreview: CSV export

Every evaluation as CSV for Excel, within the export allowance. An API and an SDK are planned and not built.

Backed by code

Peak Analytics is a preview: pivot over orders, receipts, tasks, goals and files; count, sum, average, minimum, maximum; day to year; CSV export; sharing a released snapshot; largest value as a task.

Source checked:

peak-one app/w/[scope]/apps/analytics, lib/bi/model.ts, lib/views/pivot.ts, lib/bi/share.ts
PostHogNot yet evidenced

Check in which formats results and raw data get back out.

Evidence pending

Not independently verified. We make no statement about other vendors' features, prices or limits. Check them on the vendor's own pages and write down the date and source.

Source checked:

Transparency is part of the comparison.

Source code is evidence of implementation. It does not replace a current live test.

Our standard

No comparison built on invented facts.Questions you check yourself.

When a tool has many parts, a comparison quickly turns into a list. The fair way is one real question you put to both. Get the PostHog answers from the vendor yourself, with a date.

Questions, not claims

The job first. Then the tool.

What Peak Analytics does today is backed by the preview code. What is planned says so.

  1. 01

    Claim nothing

    We name no feature, price or limit of PostHog. Every cell on this page is an open question.

  2. 02

    A preview is a preview

    What Peak Analytics does today is checked in the preview code. Everything else is labelled “planned” and has no date.

  3. 03

    Dated and sourced

    This page is as of 29 Oct 2026. Whatever you find out, write it down with a date and a link.

02 / From feature to moment

Check both sides with a real question.

Pick a check. Example: Nordwind Travel Goods (fictional), a shop, wants to know which channel had the most refunds this quarter. The answer lives in the orders from Peak Profit, not in clicks.

Where do you want to start?
Which task do you want to compare?

Take a real question from your month and put it to both sides.

Your checkFor both options
The same task

The question

Write the question down in one sentence, the way it is asked in your monthly review.

What you check

You know which answer you expect from each tool.

Demo example

Synthetic numbers in the browser. No real data is read, computed or saved.

Source checked:

Fixed website examples on this page with fictional businesses

Task selected. No test run.

See the data sources

03 / Before the next step

What Peak Analytics reads today.

Five sources from Peak apps: orders, receipts, tasks, goals, files. Which fields each source has and where the limits are is in the data source documentation.

  1. 01Does your question live in orders, receipts, tasks, goals or files?
  2. 02Do you need visits or clicks? That is planned today, not built.
  3. 03Is a CSV export enough as a path into other tools?

Switching is a separate decision. Prepare it and keep the open evidence in view.

From question to data source

No data, no answer.

Whether a tool fits depends first on where your data lives.

The next sensible step

One question is enough to start.

If it lives in your orders, receipts or tasks, see what the Peak Analytics preview does with it today.

See Peak Analytics

Draft dated 29 Oct 2026, not indexed. Statements about PostHog are not independently verified. Peak Analytics is a preview; planned items are marked as planned.

Honest status

Peak Analytics is a preview.

This page is a draft dated 29 Oct 2026. It compares questions, not verified features.

Frequently asked questions

Why does this page say nothing specific about the other vendor?

Because we have not independently verified its features, prices or limits. The page is a dated draft (as of 29 Oct 2026), is not indexed, and so only lists the questions you should check with the vendor yourself.

What can Peak Analytics do today?

Peak Analytics is a preview: pivot evaluations over orders, receipts, tasks, goals and files from your Peak apps, with count, sum, average, minimum and maximum from day to year. Plus the largest value with its share, “Check” as a Peak Task task, CSV export and sharing a released snapshot.

Are there experiments or an API in Peak Analytics?

No, not today. Experiment analysis, API and SDK are planned and not built; there is no date. Results come out as a CSV export today.

Can I use Peak Analytics next to another tool?

Yes. Peak Analytics only reads data from your Peak apps and replaces no other tool automatically. You export results as CSV, within your plan's export allowance, and combine them wherever you like.