# Your page scores 46 out of 100 for sameness against the 4 competitors you named.

Parts of your page are genuinely your own — but the features you list is where you and Eppo (now Datadog Experiments) start to sound the same.

- **Your page:** https://www.growthbook.io/
- **Compared against:** Statsig (statsig.com), Eppo (now Datadog Experiments) (geteppo.com), Kameleoon (kameleoon.com), LaunchDarkly (launchdarkly.com)
- **Sameness Index:** 46 — Half shared
- **Ownable share:** 8% (of 19% distinctive)
- **Report:** https://grader.wynter.com/c/growthbook-io-753Ro2Y

**How you compare · vs 8 Digital analytics category leaders** — 6 points less same than the average Digital analytics category leader. The average Digital analytics category leader scores 52; you scored 46. You are less same than 5 of the 8 Digital analytics category leaders. The best-differentiated site in the set is at 36.
_A single check can move several points between runs; the benchmark averages up to eight sites per category._

## 1. Sameness Index

| Category | Weight | Score | What it means |
| --- | --- | --- | --- |
| Messaging | 30% | 54 | The most expensive kind of sameness. A buyer cannot tell what job you do that the others do not. |
| Claims | 30% | 35 | Every shared claim is a line already read on another tab. Cut the ones nobody owns and spend the space on something they cannot. |
| Features | 15% | 63 | Expected in a mature category, and the least alarming of the six. Feature parity is normal; leading with it is the mistake. |
| Proof | 10% | 36 | Same kinds of proof as everyone means the proof stops working as proof. It is scored on the kind of evidence, not on which customers are named. |
| Structure | 10% | 35 | The generic SaaS template — hero, logos, three-feature grid, testimonial, CTA. Familiar is not the same as memorable. |
| Visual | 5% | 61 | Weighted lowest on purpose: buyers rarely decide on this. Worth knowing, rarely worth fixing first. |

**Half shared** — About half your claims are also on competitor pages.

## 2. Closest competitors

| Competitor | Same | Band |
| --- | --- | --- |
| Eppo (now Datadog Experiments) | 53 | Half shared |
| LaunchDarkly | 51 | Half shared |
| Statsig | 45 | Half shared |
| Kameleoon | 36 | Mostly your own |

_Measured from your side: how much of what YOU say each competitor also says, weighted by where you put it._

## 3. Ownable share

**The share of your own page's claim space that is yours to keep.** This is not the inverse of the Sameness Index — it is measured on your claims alone, so the two do not add up to 100 and are not meant to.

Only 8% of your page is unique, relevant to how buyers choose, and hard to copy. That is the number to move.

- **Distinctive message share:** 19% — prominent space spent on claims no competitor makes.
- **Ownable share:** 8% — the part of that which is also relevant to how buyers choose and hard to copy.

## 4. Where you sound like everyone else

Most of your set makes each of these and you are spending prominent space on them, ranked by how much. **These are not necessarily lines to delete** — some of what a page has to say is unavoidably shared, and claims about what kind of product you are were left out of this list for exactly that reason. The question each one raises is whether it has earned its space.

- **safe rollouts with guardrails and rollbacks** (Hero, 100% of the set) — also on Statsig, Eppo (now Datadog Experiments), Kameleoon, LaunchDarkly
  - _"Build smarter. Ship safely. Grow at the speed of AI."_
- **customer results and testimonials as proof** (Section, 100% of the set) — also on Statsig, Eppo (now Datadog Experiments), Kameleoon, LaunchDarkly
  - _"+30% account creation"_
- **one platform combining flags, experiments and analytics** (Section, 100% of the set) — also on Statsig, Eppo (now Datadog Experiments), Kameleoon, LaunchDarkly
  - _"One platform for your team and your agents"_
- **safe rollouts with guardrails and rollbacks** (Section, 100% of the set) — also on Statsig, Eppo (now Datadog Experiments), Kameleoon, LaunchDarkly
  - _"auto-rollbacks and ramp schedules with guardrails"_
- **turns product data into actionable insights** (Section, 100% of the set) — also on Statsig, Eppo (now Datadog Experiments), Kameleoon, LaunchDarkly
  - _"Turn data into insights for growth"_
- **rigorous experimentation with advanced statistics** (Section, 75% of the set) — also on Statsig, Eppo (now Datadog Experiments), Kameleoon
  - _"built for your teams and agents to run rigorous tests at scale and learn faster"_
- **rigorous experimentation with advanced statistics** (Section, 75% of the set) — also on Statsig, Eppo (now Datadog Experiments), Kameleoon
  - _"More experiments"_
- **named customers and customer counts as proof** (Section, 75% of the set) — also on Statsig, Eppo (now Datadog Experiments), Kameleoon
  - _"Trusted by 3,000+ companies worldwide"_

## 5. Buried gold

Unique, relevant, and sitting in body copy. The cheapest wins here — you already have the differentiation and the page hides it.

- **Define metrics in SQL on your warehouse** (Body, 0% of the set)
  - _"Define metrics in SQL on your data warehouse"_
- **Open source and transparent codebase** (Body, 0% of the set)
  - _"Open source and transparent"_

## 6. Claim inventory

| Claim | Type | Placement | Common | Sayability | Relevant | Ownership |
| --- | --- | --- | --- | --- | --- | --- |
| Ship AI-generated code safely and fast | outcome | Hero | 50% | anyone | yes | Contested |
| Warehouse-native architecture for experiment data | category | Hero | 25% | some | yes | Contested |
| Faster results and bigger impact | segment | Hero | 0% | anyone | no | Unique for now |
| Customer increased experiment velocity and business metrics | proof | Section | 75% | anyone | yes | Commodity |
| One platform combining flags, experiments and analytics | capability | Section | 75% | some | yes | Commodity |
| Automatic guardrails, rollbacks and safe rollouts | capability | Section | 50% | some | yes | Contested |
| Turn product data into growth insights | outcome | Section | 25% | anyone | yes | Contested |
| Run rigorous experiments at scale with advanced statistics | capability | Section | 50% | some | yes | Contested |
| Scale to thousands of experiments per year | outcome | Section | 50% | anyone | yes | Contested |
| Trusted by thousands of companies | proof | Section | 50% | anyone | no | Contested |
| AI assistant answers analysis questions | capability | Section | 25% | anyone | no | Contested |
| Named enterprise customers use the product | proof | Section | 25% | anyone | no | Contested |
| Costs less than competing solutions | outcome | Section | 50% | anyone | yes | Contested |
| Massive daily flag evaluation volume | proof | Section | 50% | structural | yes | Contested |
| Built by engineers, developer-friendly and flexible | quality | Section | 25% | anyone | yes | Contested |
| Available as cloud or self-hosted/on-prem | capability | Section | 0% | some | yes | Unique and owned |
| Governance of metric definitions and workflows org-wide | capability | Body | 50% | some | yes | Contested |
| Lightweight SDKs, easy integration, low latency | quality | Body | 50% | some | yes | Contested |
| Non-technical users self-serve analysis without data team | capability | Body | 50% | some | yes | Contested |
| Agent-accessible via MCP server and APIs | capability | Body | 25% | some | yes | Contested |
| Define metrics in SQL on your warehouse | capability | Body | 0% | some | yes | Unique and owned |
| Open source and transparent codebase | quality | Body | 0% | some | yes | Unique and owned |
| Automatically instrument new features with flags | capability | Body | 0% | some | no | Unique and owned |
| Real-time debugging and developer tooling | capability | Body | 0% | anyone | no | Unique for now |

## What we compared

- **GrowthBook** (your page) — https://www.growthbook.io/
- **Statsig** — https://statsig.com/
- **Eppo (now Datadog Experiments)** — https://www.geteppo.com/
- **Kameleoon** — https://www.kameleoon.com/
- **LaunchDarkly** — https://launchdarkly.com/

## What this does and does not tell you

An AI read each page and wrote down the claims it makes, then grouped the claims that say the same thing. **No score in this report was written by a model** — every number is computed from those groupings in our own code, with the weights shown above.

## The only way to know if it matters

This report can tell you where your messaging overlaps. It cannot tell you whether a buyer would care, or which of your reasons to buy actually land. Put the page in front of real B2B buyers in your target market and ask them.

[Test it with real buyers](https://wynter.com)