Labels: the plain little tags your conversion turns on

Be honest: most organisers send the newsletter to everybody at once. One mail, the whole list, sent, done. It is quick, and it feels like reach.

It just works less and less well.

Your list is not a block of 5,000 identical people. There is the regular who has not missed an opening night in years. Next to them the family who comes exactly once a year, to the Christmas show. And the jazz devotee who deletes anything about your comedy series on reflex. Send all three the same mail and it is the wrong mail for at least two of them.

The tool that keeps those people apart is small, dull and permanently underrated: the label.

First: what is a label?

A tag you attach to a contact. “Regular”, “VIP”, “family with children”, “concerts only”, “inactive for months” — whatever makes sense for what you put on.

You can add labels by hand, or bring them along when you import an existing list. And a contact may carry as many as you like: somebody can be “VIP” and “regular” and “books weekends only” at the same time. Those overlaps are the whole trick.

Is it worth the effort?

Keeping labels tidy sounds like busywork, granted. The email data on the point is unusually clear though. Sending to segments — to defined groups rather than to the whole list — performs better: the Data & Marketing Association puts it at roughly 14% more opens and about twice the clicks. Twice the clicks, out of the same list, purely because the right message reached the right people.

And one figure I like even more: Campaign Monitor finds that about three in four consumers are annoyed by promotions that have nothing to do with their interests. That is the whole point, really. A mail that does not fit is not neutral — it costs you a little goodwill.

What this has to do with your audiences

The Audience Builder assembles precise audiences out of your contacts. It uses purchases and orders too, of course, and those are worth a lot — but they only tell you what somebody did. Whether somebody likes jazz, prefers a weekend, or wants to hear about openings first appears in no order history. Only you know that, and a label is where you keep it.

The logic is simple: the more meaningful labels your contacts carry, the sharper the builder gets. A contact with no labels is an address. A contact with a handful of considered ones is a person with preferences and patterns, who turns up in several audiences at once.

That is where it gets interesting. Groups appear that you could not see before: the families who have booked nothing since last season — ideal for a friendly note about the new family series. The jazz regulars who have never bought a subscription. The small, precise group of “VIP” plus “loves openings”, who get an invitation to the presale before anybody else knows it has started.

Three messages, three small groups, each with a hit rate one mail to 5,000 people can only dream of.

How to label so it pays off later

It is less about volume than about a little system. Decide on a few axes before you start rather than tagging as you go. For most houses three are enough: interest (concert, theatre, comedy), relationship (new, regular, inactive) and preferences (weekends, family, step-free access needed). The rest follows almost by itself.

Pick one spelling and keep it. “VIP”, “Vip” and “vip” are three different labels — and nothing is more irritating than ending up with three half audiences instead of one whole one. Write the list down somewhere so your team gets it right first time.

Use the import: if a list is moving anyway, bring the labels with it. And look over them once a season — a new customer becomes a regular, and a regular eventually becomes inactive.

Side by side

Do:

• Settle a few clear categories before you start. A system beats 200 spontaneous labels.
• Label consistently, not only the interesting contacts. Only a complete set gives reliable audiences.
• Think in combinations — “VIP” plus “jazz” plus “inactive” is exactly the group worth having.
• Attach labels at import rather than backfilling them.

Don’t:

• Create duplicates through loose spelling: “regular” against “regulars” against “repeat guest”.
• Label everything that can be labelled. A hundred meaningless tags only obscure the list.
• Record anything sensitive or judgemental. A label is a working tool, not a note to self — and for personal characteristics the GDPR applies: collect only what you actually need in order to write to somebody.
• Rely on purchase data alone. That shows you the past.

The short version

Labels look like a detail, which is exactly why they get left. They are the raw material your audiences draw their accuracy from. Purchases tell you what happened. Labels tell you what is still there.

Start small. Three or four categories, applied properly at the next import — that is enough to begin. Then look at how many groups become visible that you did not know you had.