The Guest List You Have Never Cleaned
The contact list has grown for years and nobody has ever removed anything. What that does to your numbers, what it costs to send to, and the pruning that makes the list mean something again.
The list has two thousand names. It has only ever grown.
Some of them came once, four years ago. Some are duplicates. Some are wrong. Nobody has removed a single entry, because removing feels like losing something.
What an uncleaned list does
It makes every rate look bad. ⚠️ Response measured against a denominator full of people who were never coming back — the campaign looks like it failed when it may have worked.
It hides the real number. How many actually-contactable regulars do you have? Nobody knows, and it is the more useful figure by a wide margin.
It costs money to send to. Directly, if you pay per contact.
It damages deliverability. ⚠️ Sending to dead addresses harms whether your messages reach the live ones — a technical cost with a very real effect.
It annoys people who asked to be left alone. The most serious item on the list.
What "cleaning" actually means
Not deleting history. Separating the list you contact from the record you keep.
⚠️ Guest history stays. Somebody who came twice in 2022 is part of your record and may return. That is different from being on the list you message on a Thursday.
The cleaning is about the sending list, not about forgetting anyone.
The four groups
Contactable and recent. Been in within a normal gap for them. The list that matters.
Contactable and lapsed. ⚠️ Worth one deliberate approach, not routine inclusion — and if that produces nothing, they move to the next group.
Not contactable. Bounced, invalid, unreachable. Remove from sending. Keep the history.
Asked not to be contacted. ⚠️ Remove immediately and permanently, and make sure the removal survives the next import — this is the one with consequences beyond marketing.
Doing it
Start with the bounces. ⚠️ Free, uncontroversial, and it improves delivery to everyone else.
Then the duplicates. Same person, two entries, split history. Merge, do not delete.
Then set a lapse rule. Not a fixed number of days — ⚠️ relative to their own pattern. A monthly guest at four months is lapsed; a twice-a-year guest at four months is not.
Then leave it. Quarterly is often enough, and doing it more produces nothing.
The number to produce afterwards
How many people could you actually reach tonight who would plausibly come?
⚠️ Most owners guess several times the real figure, and the real figure is the one that should inform every decision about promotion — because it is the audience that exists.
What an uncleaned list quietly does to your decisions
The count is wrong every ratio built on it is wrong too
Reach looks worse the same message to more dead addresses reads as decline
Costs scale you pay per contact for contacts that no longer exist
⚠️ The first is the one that matters. A response rate with an inflated denominator falls every year without anything actually getting worse, and people respond to that apparent decline by doing more of what is already working.
The apparent decline is the trap
⇒ ⚠️ A list that grows and never shrinks makes every rate look like it is falling. Before concluding that something stopped working, check whether the denominator changed instead.
Cleaning is not deleting
Deleting removes what you might still need, permanently
Segmenting separates live from dormant, and keeps both
⚠️ Do the second first. Almost every benefit of cleaning comes from separation rather than removal, and separation is reversible.
⚠️ 専門の方へ
保存の期間・消去のお求めへの応じ方・お求めの取り方は、 個人情報の扱いに関わる所でございます。 ⇒ ここでは【数の見え方】だけを扱っており、保存や消去の可否は 弁護士・行政書士の先生方の持ち場でございます。実務は 先生方にご確認ください。
Four groups, and only one is a problem
Live visited or responded recently
Dormant was live once, has gone quiet
Never live never visited, never responded — the largest group, usually
Undeliverable bounced, disconnected, wrong from the start
⚠️ The third group is the one that distorts everything, and it is also the one nobody expects to be large.
Where "never live" comes from
⇒ ⚠️ Imports, one-off events, and forms that required a contact detail. Anywhere a contact was collected without an intention to return produces entries that were never going to become anything.
Doing it, in an afternoon
One export what you have, and keep the export untouched
Two mark each entry into the four groups
Three act on undeliverable only
Four leave the rest marked, and decide later
⚠️ Step one is the safety net for every mistake in the other three. ⇒ Never clean in place on the only copy you have.
The four-number line, once a quarter
Live, dormant, never live, undeliverable four numbers, one line
⚠️ Produce it once a quarter and the ratio itself becomes the signal. A growing "never live" share means the collection is bringing in contacts, not guests — which is a problem at the front, not in the list.
Why cleaning alone does not hold
⇒ ⚠️ A list cleaned once is dirty again within a year unless what feeds it changes. The clean-up is the symptom; the intake is the cause.
Three to hold
List size against contactable-and-recent. ⚠️ The gap is the finding, and it is usually large.
Bounce rate. Rising means the list is decaying faster than it is being maintained.
Opt-outs per send. ⚠️ A spike means you contacted people who did not expect to hear from you — which is what an uncleaned list guarantees eventually.
Where the record has to sit
Cleaning a sending list without losing guest history requires the two to be separable — the same record, with contactability as a property rather than as the reason the record exists. Otherwise every clean-up is a choice between accurate lists and remembering people.
tasteck keeps guest history on the guest record, so a guest can stop being on a sending list without stopping being a guest.
The list is not two thousand people. It is some number smaller than that, and not knowing which has made every decision about it a guess.
Read next
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The Guest List That Stopped Working — the door list and comped entry — a different list with the same name
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