Marketing teams
Measure influencer ROI
Marketing teams give influencers individual codes — and see per influencer how much revenue they really brought.
BerlinAmsterdam
Sales, channels, conversion funnels and cohorts — live in dashboard. Tickable measures what your marketing channels really bring — down to the individual UTM parameter.
Legacy ticketing tools give you rough numbers — how many tickets sold, how much revenue. But not: which Instagram campaign brought 200 tickets? Which newsletter had 80% more conversions than the previous? Which influencer code is really performing?
Without these answers, you burn marketing budget — and you'll never know why your event sold out (or didn't).
Tickable tracks every buyer touchpoint — from first ad to sold ticket — and shows you the data in a dashboard you understand without training.
Live sales numbers updating every 30 seconds
Channel attribution: which UTM source brings which tickets
Funnel analysis: visitor → cart → buyer
Cohorts: returning buyers from your past events
Forecast: projected end sales based on current pace
Export as CSV, JSON, or via REST API
Active from the first sale, no setup.
As soon as your event is live, Tickable starts tracking.
Live numbers, funnel, channels — all on one page.
Click any channel to see: which tickets, which buyers, which times of day.
Not just numbers — but answers to specific marketing questions.
UTM parameters, referrer, and campaign tags are automatically mapped.
Visitor → ticket select → checkout → purchase — see where buyers drop.
Which ticket types get the most clicks? Which are ignored?
Who bought from your events 1, 2, 3? Who's a first-time buyer?
Model estimates how many tickets you'll sell by event day.
Which European cities do your buyers come from?
Slack or email alerts on milestones (50% sold, sold out, etc.).
All analytics data via REST API for your BI tool or data warehouse.
From the indie organizer to the multi-events-per-month pro.
Marketing teams give influencers individual codes — and see per influencer how much revenue they really brought.
Organizers in London use the Tickable forecast to plan liquidity for artist deposits.
Tour organizers see which buyers also come to the next show — and run targeted re-marketing.
What insights you get — without an external BI tool.
| Tickable | Legacy tools | |
|---|---|---|
| Live data | Update every 30 sec | CSV export next day |
| Channel attribution | UTM parameters auto | Often impossible |
| Funnel analysis | Built-in | External tool needed |
| Cohorts | Across multiple events | Only per event |
| Forecast | ML-based, automatic | Not available |
| API access | Full REST API | Often CSV only |
"We finally knew our newsletter delivered 5x the conversion of Instagram. We rebalanced budget — and sold 30% more tickets at the next event."
An event is a time-limited operation. You have four weeks, six weeks, maybe three months to sell tickets. After that, the door closes — literally. Anyone in this window who doesn't know whether marketing is working corrects too late.
Tickable Analytics is therefore built for action: every number in the dashboard leads to a concrete decision. If newsletter converts 5x better than Instagram, I rebalance today. If a city underperforms, I run targeted regional ads.
Tickable avoids invasive third-party trackers. We measure what's needed for sales analysis — UTM parameters, device class, rough region — and nothing beyond. That makes the tool GDPR-compliant and protects your buyers' privacy.
The Tickable forecast model projects how many tickets you'll sell by event day. You see immediately whether you're on sellout course or whether you need to course-correct. This single number often decides whether you activate marketing budget for the last three weeks.
Yes. We don't track personally identifiable data without consent. UTM parameters and buyer data are processed GDPR-compliantly and stored in EU data centers.
No. Tickable Analytics replaces Google Analytics for most organizers — and is more GDPR-friendly.
Yes. CSV export, JSON export and a REST API are available. Webhooks for real-time streaming optional.
Our model is trained on hundreds of real events. Under normal sales patterns, the forecast is accurate to ±8% three weeks before event day.
Yes. The heatmap shows which ticket types get attention and which get ignored — valuable for pricing strategy.
Analytics is included free in every plan. See live what drives your sales.