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7 questions enterprise teams ask before trusting feedback data

7 questions enterprise teams ask before trusting customer feedback data

The seven questions we hear from enterprise data, security and AI teams, answered plainly, with real numbers from our public benchmark.

Rows of grey noise tags (ads, promo, bots, copies, giveaways, pushes, AI filler) with three glowing green real user pills

The anatomy of noise: 7 kinds of posts that should never reach your report

Ads, campaigns, bots, copy-paste waves, giveaways, coordinated pushes and AI filler: the seven kinds of noise that bend your numbers, and how to keep them out.

Illustrative walkthrough: sign-ups dropped, churn rose, find the why with Affogata

Sign-ups dropped and churn rose. Here’s how we find the why

A one-minute walkthrough: take the noise out, score and group what's left, and line it up with your KPIs to see what moves together.

Signal over noise: your KPIs show what happened, real people show why

KPIs tell you what happened. The why sits in a fraction of customer data, buried under ads, bots, campaigns, influencers and manipulation. How to find it.

Gaming is where Affogata started, next to fintech, streaming, commerce, travel, dating, education, wellness, public affairs and alternative data

Is Affogata only for gaming? Real insights from noisy data across 7 industries

Is Affogata only for gaming? No. How to bring cleaned customer conversation into your AI, plus one week of benchmark data across seven industries.

Four ways into one Affogata data layer: Helper, MCP, DIL and API

Affogata release notes, summer and fall 2026: real insights inside your AI

What's new in Affogata: your AI on your data over MCP in Claude, ChatGPT, Gemini and Copilot, governance built in, and a first look at the Insights Model and the Governance page.

Four approaches to player feedback: social listening, voice of customer, games-focused tools, building it with AI, and Affogata

Player feedback tools compared: 4 approaches

Social listening suites, voice of customer platforms, games-focused tools or building your own with AI: four approaches to player feedback compared on coverage, noise, evidence, access and governance.

Player and customer feedback flows through the Affogata PX layer into your warehouse and AI

The insights foundation for what you build next

Dependable insights your warehouse, tools and AI can all build on: same definitions everywhere, every insight traced to its posts.

Brand Pulse dashboard built over Affogata MCP

Affogata release notes, June 2026

Our June update is packed. MCP Beta, smarter dashboard filters, in-app replies to players, and a brand new How-To Center to help your team move faster.

Get started · Choose your path

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Self-serve · MCP

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Connect Claude, ChatGPT or any MCP client to live public sandbox data. About 2 minutes, no card, no call.

https://app.affogata.com/mcp
On your own data

Get analysis on your own data

Book a short demo and see your brand's real customer voice, the exact view your team would use day to day. Quick to set up, no commitment.

Book a demo

Set up a demo and see your brand, live.

In one short session we'll show you your brand's real customer voice, and how your team would use it day to day. Quick to set up, no commitment.

  • See your own brand's customer voice, live
  • One layer: dashboard, AI, API and data warehouse
  • Governed and compliant, never used to train AI

See your brand live

Tell us where to reach you and we'll run a short session with you.

    Or email info@affogata.com, we answer fast.

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