---
title: Metrics and Outcomes
updatedAt: 2026-04-13T18:10:09.000Z
---
Fetch the complete documentation index at: https://docs.watchers.io/llms.txt
# Metrics and Outcomes
Community Chats Adoption, In-Chat Metrics and Their Impact on a Primary Platform
This document outlines:
1. How community chats are adopted on a primary platform.
2. The key metrics for monitoring chat usage over its lifecycle.
3. The potential impact of community chat adoption on the platform’s KPIs.
4. Recommended evaluation steps
## 1. Community Chats Adoption
New social functionality on a platform typically proceeds through three main stages of adoption: introduction, growth, and maturity. Several factors influence the speed of adoption:
* **Platform Audience Size.** The number of users who will be able to encounter the chat feature simultaneously. Larger audience sizes generally yield faster initial adoption.
* **Visibility of the Entry Point.** How prominently the chat feature is displayed and promoted on the platform crucially effects the conversion rate.
* **Proximity to Relevant Content.** The more naturally and contextually a chat is integrated with related content, the more meaningful the conversations become, and the more likely users are to stay or return.
* **Audience “Talkativeness”.** Certain demographics (e.g., specific age groups, language communities) may be more likely to engage actively in chats.
### Typical Adoption Progression
* Introduction Stage (first months): adoption rates are usually low (around 5–12%) as users discover and experiment with the new feature.
* Growth Stage: adoption increases significantly (approximately 15–30%) as user awareness spreads and more interaction begin.
* Maturity Stage: adoption stabilises at higher levels (often up to 50% and even above).
## 2. In-Chat Metrics
The table below highlights key metrics to track across the three stages (Introduction, Growth, and Maturity). These ranges are meant as general guidelines - actual figures vary depending on your industry, target audience, brand loyalty, and how social features integrate into your overall user experience.
| **Metric** | **Introduction**\
(1–3 months) | **Growth**\
(4–8 months) | **Maturity**\
(9–12+ months) | **Comment** |
| -------------------------------------------------------------------------------------- | --------------------------------- | --------------------------- | ------------------------------- | ---------------------------------------------------------------------------------------------------------------------- |
| **Platform Users’ Adoption (Monthly)** | 5–15% | 15–30% | 30–50% | Percentage of the platform’s total user base adopting the chat feature monthly. |
| **Platform Users’ Adoption (Daily)** | up to 7% | 7–15% | 15–25% | Percentage of the platform’s total user base adopting the chat feature daily. |
| **Chat Users Who Send Messages (Monthly)** | up to 12% | 7-15% | 10-30% | Percentage of chat users who actively send messages each month. Critically depends on a volume of platform's audience. |
| **Chat Users Who Interact: send messages, reactions, interact with widgets (Monthly)** | up to 17% | 10-25% | 20-48% | Percentage of chat users who interact on the chats. Critically depends on a volume of platform's audience. |
| **Retention (7th Day)** | 5–15% | 15–50% | 50–60% | Percentage of chat users still active on day 7 after their first use. |
| **Retention (30th Day)** | 1–7% | 7–20% | 20–35% | Percentage of chat users still active on day 30 after their first use. |
| **Deal-Copying** | 1–10% | 10–15% | 15–30% | Percentage of chat users who successfully copy deals after they see them shared. |
| **Ratio of Copied deal to Chat Users (Monthly)** | up to 2:1 | up to 3:1 | up to 6:1 | Number of deal copies to in-chat MAU (monthly average users) |
## 3. Impact on Primary Platform Metrics
Below is an overview of potential effects on platform-wide metrics attributed to chat adoption. These figures refer only to socialised users, i.e., those who actively use the chat. If, for example, the chat feature sees 30% adoption and a related 15% increase in a particular KPI, that increase applies within the adopting subset, and for the entire user base the increase will result in 4.5% (0.3 x 0.15).
| **Metric** | Potential Effect, Short Term\
(1–3 months) | Potential Effect, Mid Term\
(6–12 months) | **Dependence on Social Features** |
| --------------------------------- | --------------------------------------------- | -------------------------------------------- | ------------------------------------------------------ |
| **Time Spent** | +10–30% | +30–150% | Basic community chat |
| **Monthly Retention** | +3–5% | +10–20% | Community chat + badges |
| **ARPU (basic)** | +2–4% | +5–8% | Community chat + badges |
| **ARPU (advanced)** | +4–6% | +6–15% | Chat + badges + widgets + offers |
| **New Audience via Live Streams** | 3–10% of stream viewers | 10–30% | Dependent on the effective promotion of live streaming |
> ⚠️ Specific outcomes will vary by business context, and some metrics may see more substantial changes than others..
## 4. Recommended Steps
To fully understand how community chats might affect your unique audience, we suggest:
* Conducting an A/B test during your free trial period.
* Tracking the adoption, engagement, retention, and revenue metrics above.
* Comparing data from socialised users (who use chats) vs. non-adopting users.
* Testing different add-ons and tracking their outcomes.