Grometrics
Payment-backed attribution for teams deciding which sources, pages, and campaigns deserve more budget.
- Setup
- 5 minutes
- Scope
- Revenue attribution
- Revenue tracking
- Payment-backed
- Best for
- Source clarity
Comparison
PostHog is a broad Product OS for product engineers. Grometrics is the focused revenue attribution layer for founders asking where the money came from.
A practical comparison for revenue-first teams.
Payment-backed attribution for teams deciding which sources, pages, and campaigns deserve more budget.
PostHog offers a broad product-engineering suite across product analytics, web analytics, revenue analytics, session replay, feature flags, experiments, warehouse, and CDP workflows.
Dashboard preview
Last 30 days. First-touch attribution. Payments matched to source context.
$4,280
$3,150
$2,890
$1,740
| Source | Sessions | Customers | Revenue | Refunds | Confidence |
|---|---|---|---|---|---|
| Google Ads / pricing | 1,842 | 53 | $4,280 | 2 | High |
| Partner email | 312 | 21 | $3,150 | 0 | High |
| Meta Ads retargeting | 2,104 | 38 | $2,890 | 5 | Medium |
| Organic search / comparison | 486 | 16 | $1,740 | 1 | Medium |
SEE HOW IT COMPARES
Try Grometrics alongside your current analytics. Free plan, no credit card.
Start your free trial →| Feature | Grometrics | PostHog |
|---|---|---|
| Revenue attribution | ||
| Traffic source to revenue | Payment-backed | Payments can live inside a broader customer data stack |
| Revenue by source, page, and campaign | Native | Available by workflow |
| Refund visibility by source | Included | Varies by setup |
| Attribution confidence | Visible in report | Not the center |
| Analytics workflow | ||
| Primary workflow | Source to payment | Broad product analytics and product-engineering suite |
| Best question answered | Which source created this payment? | "What are users doing across the product?" |
| Operating scope | Founder revenue quality | Product engineers and data teams that want many product-building tools in one platform |
| Founder decision loop | ||
| Weekly channel review | Revenue, customers, refunds | Product OS |
| Paid campaign accountability | Source to payment | Depends on model |
| Best fit | Source-to-sale decisions | Product engineering |
PostHog can model revenue as events inside a broader product analytics stack. Grometrics starts with the payment record, so Stripe attribution tools connect charges, customers, renewals, refunds, source, page, and campaign context before a founder has to design an event taxonomy.
PostHog is enough when product analytics, feature flags, replay, funnels, and warehouse workflows are strategic. Grometrics is better when the weekly question is which acquisition source created paying customers and which campaign deserves more budget.
PostHog is the better choice when product analytics, feature flags, experiments, session replay, warehouse, and developer workflows are strategic.
Choose PostHog when product engineering is the main job and its broader product shape matches how your team works.
Grometrics is better when PostHog would be too much surface area for the immediate question: which source, page, campaign, and payment path created revenue? The Stripe analytics workflow is the fastest example.
Choose Grometrics when the weekly decision starts with payment evidence: source, page, campaign, customer, refund drag, and attribution confidence in one report.
Use Grometrics to connect visits, pages, campaigns, and payments before the next channel decision.
A practical comparison for revenue-first teams.