The data you already have and are not using
Your data is scattered across ticketing, a spreadsheet and three forms. Having emails is not having a database, and the difference shows.
You sent the presale campaign to nine thousand people. Two thousand four hundred opened it. Twenty-six percent, above the industry average. You filed it away as a good campaign and moved on.
Now the uncomfortable question: how many tickets did it sell?
If the answer is “I don’t know exactly, but we sold well those days,” you’re measuring your campaigns with the same yardstick people used in 2010.
Opening an email isn’t a result
Open rate survives as the headline metric out of inertia, and because it’s the first thing that shows up on any dashboard. But it measures something quite thin: that the subject line seemed interesting enough for someone not to ignore it. Nothing more.
It’s also stopped being reliable. Since the major email providers started preloading message images for privacy reasons, a sizeable share of the opens you see weren’t made by a person at all, but by a server. It’s a number inflated by design, and increasingly so.
There’s a bigger problem underneath all this, though: a campaign with a forty percent open rate and zero sales is a bad campaign. And one with twelve percent that filled your presale is an excellent one. If your headline metric can’t tell those two apart, it isn’t useful for deciding anything.
Three metrics that actually mean something
The click. This is the first honest signal. Someone who clicks your purchase link has gone to look at tickets. It’s not a sale, but it’s real intent, and unlike opens, it can’t be inflated without a real person behind it.
Post-click conversion. Of the people who went to look, how many bought. This number says more about your purchase page and your pricing than about your campaign, which is exactly why it’s so useful: it separates a messaging problem from a product problem. If plenty of people click and nobody buys, the email did its job — whatever’s failing comes after.
Attributed revenue. How much money came in as a direct result of that send. This is the only number that lets you compare one campaign against another without an argument.
Notice the order. Each one answers a different question, and the three together tell you where the problem sits: if nobody clicks, the message failed; if they click and don’t buy, what’s on the other side failed.
Why almost nobody has the third number
Attributing revenue to a specific send is harder for a live event than for an online store, for three reasons that are very specific to this industry.
The purchase happens somewhere else. The email goes out from one tool and the sale closes in the ticketing platform. They’re two separate systems that often don’t talk to each other, so nobody can cross-reference who received the message with who bought.
The decision takes time. Buying four festival tickets to go with a group isn’t decided in five minutes: it gets sent to the group chat, you wait for replies, and the purchase happens two days later. Any short attribution window misses those sales entirely.
The purchase channel changes. The email gets opened on a phone on the way to work and the purchase happens that night on a laptop. If measurement depends on the device, it breaks.
None of these three is an excuse: they’re solvable problems. But they explain why most promoters have stayed stuck on open rate — it’s the only thing their email tool can hand them without anyone else’s help.
What you can start measuring without changing anything
You don’t need to solve full attribution to stop deciding blind. Two habits you can adopt in your next campaign:
Always look at the click, never the open. Change the metric you record and compare campaigns by. On its own, that shifts your conclusions about which subject lines and which messages actually work quite a bit, because the subject line that gets opened most isn’t always the one that generates the most clicks.
Cross-reference the send with sales by hand. Note down the tickets sold in the forty-eight hours after each campaign and compare them against an equivalent period with no campaign running. It isn’t rigorous attribution and it doesn’t isolate other factors, but it beats “we sold well those days” by a mile, and it gives you a baseline to compare the next one against.
With those two habits, over a season you get a reasonable sense of which campaigns actually move the needle. And more importantly, you get a well-formed question — which is what you need before you ask any tool to answer it for you.
What you’re deciding in the meantime
Every season you make decisions that depend on this data: how many emails to send, how far in advance, whether the presale gets announced by email or social media, whether it’s worth paying for SMS or WhatsApp for the important reminders.
All of those decisions are currently being made on open rate, or on a general feeling of how the season is going. It’s worth asking how many of them rest on data and how many rest on habit, because the next campaign is already around the corner.
Tools like Nevent connect the send with the sale inside the ticketing platform so revenue can be attributed to each campaign. But the change that pays off the most costs nothing, and you can make it on your very next send: stop tracking the open, and start tracking the click.
Frequently Asked Questions
Why is open rate no longer reliable?
Major email providers preload message images for privacy, so a share of the opens you see came from a server rather than a person. It is inflated by design.
What should I look at instead?
Clicks, which cannot be inflated without a real person behind them, and post-click conversion, which separates a messaging problem from a pricing or checkout problem.
