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AI Agent · SuccessAgent online

Your AI customer success

Sentiment, health score and retention playbooks — trained on the voice of millions of real buyers.

Listens to every review, every email, every mention. Calculates the health of your base, identifies at-risk segments and pings you before they leave. Not after.

AI Success

Feedback stream · real-time analysis

live

NPS today

67

+8 vs yest

Analyzed

2.4K

+12% day

At risk

23

−7 vs wk

Health

8.4

+0.3 mo

Incoming feedback

Experience as a Service

Ship a brain with years of operating in two clicks

Every Fanz AI agent comes pre-trained on the real-world operation of Fanz. Not a generic LLM — an expert that already lived the iteration of thousands of event producers.

0+

real-event tickets analyzed

$0M+

in processed transactions

0M+

emails with real CTR and conversion data

0+

live brands operating today

Plug & play. Impossible to acquire any other way.

Trained for you

Processed millions of reviews, comments and buyer messages from events — knows the difference between a real complaint and an expectation met.

A theatre buyer's sentiment isn't the same as a festival buyer's. The agent knows that. And it knows which signals precede a customer who never returns — so you can intervene before.

What it does for you

Customer Success that never sleeps

The team that listens, measures and acts — always on, always plugged into your real data.

Multi-channel listening

Reviews, surveys, emails, WhatsApp, Instagram, Twitter. Every message analyzed, classified, summarized.

Per-customer health score

Each buyer gets a score (frequency, avg ticket, recency, sentiment). You know who's strong and who's slipping.

Churn alerts

When a recurring customer goes quiet, the agent detects it and pings you — before it's too late.

Retention playbooks

Activate automated sequences: win-back, personalized offer, re-engagement call. Tested on thousands of cases.

Executive reports

NPS, CSAT, sentiment trend, top issues — ready to show the board without you assembling anything.

Product feedback loop

Recurring complaints are tagged and reported: if everyone hates the seats, you know first.

How it works

From listening to action in 3 steps

01

Connect channels

Google/Facebook reviews, email, WhatsApp, IG, post-event surveys. One integration each.

02

Define playbooks

Agent ships pre-built playbooks (churn, win-back, VIP) — you tune them to your venue.

03

Automatic action

At-risk customer detected → playbook activated. You find out once it's already resolved.

Real cases

How producers like you use it

Theatre with 12K-buyer base; didn't know who had stopped buying or why.

+180 customers saved

Detected 420 churn risks. Automated win-back recovered 180. Net rescue of $54K.

I used to write them when they were already gone. Now I write before they leave.

Carla — Theatre producer

Festival with 200 Google reviews and 50 Facebook reviews — no one read them.

+0.6 NPS points

Automatic sentiment analysis. 3 operational issues detected that were fixable.

We had lost visibility on what people thought. Knowing it automatically is wild.

Esteban — Festival producer

Stand-up with per-event NPS but no time to analyze 800 responses a week.

5 min vs 5 hrs

Automated executive summary: top 3 praises, top 3 complaints, sentiment trend.

What used to take all Monday I now read with my Tuesday coffee.

Andrés — Comedy producer

Frequently asked questions

1,000+ organizers already on board

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Join 1,000+ organizers who ditched generic platforms and built their own with Fanz.

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