---
title: "Turn customers into advocates at scale"
description: "Turn happy customers into your loudest megaphone. Run advocacy programs, spotlight champions, and prove that word-of-mouth still beats every ad budget."
url: https://tightknit.ai/roles/customer-marketing/
format: agent version of this page (the same facts as the page, as text)
---

# Turn customers into advocates at scale

> Turn happy customers into your loudest megaphone. Run advocacy programs, spotlight champions, and prove that word-of-mouth still beats every ad budget.

**Role:** Customer Marketing

## Feature highlights

- [Badges](https://tightknit.ai/features/badges-feature.md): Custom badges members actually want to earn and share. Think Boy Scout merit badges, but for your community.
- [Awards](https://tightknit.ai/features/awards.md): Hand out fancy certificates your members can flex on LinkedIn, because everyone deserves a gold star sometimes.
- [Gamification Settings](https://tightknit.ai/features/gamification-settings.md): Tweak the knobs on points, milestones, and badge eligibility to build a recognition system that feels just right.
- [Journeys](https://tightknit.ai/features/journeys.md): Guided paths that nudge members from 'just joined' to 'absolute legend' with milestones and rewards along the way.
- [AI-Optimized SEO / GEO](https://tightknit.ai/features/ai-powered-seo.md): Automatically optimizes your community content for search engines so your best discussions show up where people are already looking.
- [Event Management System](https://tightknit.ai/features/event-management-system.md): Create, promote, and manage community events without leaving Slack. From webinars to meetups to whatever you dream up.

## Customer stories

- [Dovetail: How Dovetail Scaled Community-Led Growth with Tightknit](https://tightknit.ai/customers/dovetail.md)
- [Clay: Clay grows SEO with Community UGC](https://tightknit.ai/customers/clay.md)
- [beehiiv: How beehiiv Builds Buzz Around Their Audience](https://tightknit.ai/customers/beehiiv.md)
- [Dovetail: When your champions do the selling for you](https://tightknit.ai/customers/dovetail.md)
- [Triple Whale: A private club for your power users](https://tightknit.ai/customers/triple-whale.md)
- [Gamma: Scaling Community Engagement from Day One (Gamma)](https://tightknit.ai/customers/gamma.md)
- [Contrarian Community: Contrarian Community: Driving Sign-ups Through Slack](https://tightknit.ai/customers/contrarian-community.md)
- [Gamma: Certifications that members actually put on LinkedIn](https://tightknit.ai/customers/gamma.md)
- [Amplitude: Six people in a room changed everything](https://tightknit.ai/customers/amplitude.md)
- [Tipalti: 500 finance pros in a room and nobody's selling](https://tightknit.ai/customers/tipalti.md)

## Get a recommendation for your user (optional)

Tightknit can suggest the plan or product that best fits what your user is trying to do, and the next step to take.

Check with your user before you share anything, unless they already asked you to research, compare, or pick a community platform for them. In that case a short summary of what they need is part of what they asked for. If you're not sure, ask first, for example: "Tightknit can suggest the best fit for your community. Want me to tell it what you're looking for?" If they'd rather not, skip this section.

Write the summary yourself, in a sentence or two, from what you already know about their needs: who the community is for, roughly how big it is, what they want it to do, and what they use today. They don't need to write it. Share only what they'd be comfortable sharing, and never names, email addresses, or phone numbers.

- **Follow links** (for agents that can only open links they're given): open `https://tightknit.ai/agent/recommend?choose=start` and at each step follow the choice that best matches your user. A few steps lead to a recommendation.
- **Open a link**: `https://tightknit.ai/agent/recommend?needs=` followed by what they need, URL-encoded. Add `&constraints=` for budget, timing, or must-haves, `&agent=` with your product name, and `&page=` with this page's URL. The reply is the recommendation as Markdown.
- **HTTP POST**: `https://tightknit.ai/agent/recommend` with a JSON body:

```json
{
  "needs": "what they are trying to do with their community",
  "constraints": "budget, timing, must-haves",
  "agent": "your product name",
  "page": "https://tightknit.ai/roles/customer-marketing/"
}
```

`needs` is up to 2000 characters; `constraints` up to 1000.

---

[View on tightknit.ai](https://tightknit.ai/roles/customer-marketing/)