Email & Marketing

Let per-product revenue choose the subject of this week's email

Views, buyers and revenue are reported for every product you sell. Read three columns in the right order and your next broadcast picks itself.

The store.fan teamSeptember 1, 20268 min read
Let per-product revenue choose the subject of this week's email

It is Tuesday, the subject line field is empty, and you are trying to remember what you talked about last time so you do not repeat yourself. That is how most creator emails get chosen: by mood, or by whatever was most recently annoying. Meanwhile your dashboard has been keeping a per-product record of views, buyers and revenue for months. The email you should send this week is sitting in that table. You only have to read the columns in the right order.

Numbers tell you where to look, not what to say

The honest limit of any analytics screen is that it records what happened and stays quiet about why. A product with 900 views and 11 buyers could be badly priced, badly explained, or perfectly fine and simply aimed at people who were never going to buy. The number cannot separate those. What it can do is point at the one product out of nine that deserves an hour of your attention, which is a much smaller and more answerable question.

The second thing worth admitting is that per-product numbers are noisy at small volumes. Thirty views is not a signal. Three hundred is starting to be one. If you have been selling for three weeks, look at the numbers, note them down, and do not redesign anything yet. There is a fuller breakdown of what each plan reports on the pricing page. The method below is for when you have a few months of history and more than one product on the page.

What changes the game is having the numbers split out per product at all. A single store-wide revenue figure tells you whether the month was good. Per-product views, buyers and revenue tell you which specific thing to write about, and that is the difference between a dashboard you check and a dashboard you use.

Picking a topic by feel versus picking one from a table

Both approaches produce an email. Only one of them produces an email whose result you can interpret afterwards.

Choosing by feelChoosing from per-product analytics
You write about whatever you made most recently.You write about the product with a real gap between views and buyers.
One store-wide revenue number, so every product looks equally healthy.Views, buyers and revenue reported for each product separately.
No idea whether anyone has ever seen the page you are promoting.The view count tells you plainly whether the product has an audience problem.
Traffic is a mystery, so every channel gets the same effort.Traffic source shows which products your email list has never been sent to.
A flat week feels like a personal failure.A flat week is a specific product with a specific number attached to it.
Success is measured in replies and vibes.Success is a number in the buyers column that moved after you sent.

The three-column read, in about ten minutes

Open your analytics with all your products listed. Work down the page rather than across it, one column at a time, and write four words next to each product as you go.

Tuesday morning analytics pass

0/8

What each pattern usually means

  • Many views, few buyers: the promise on the page and the price are arguing with each other. Your email should answer the objection you keep hearing, not repeat the sales page.
  • Few views, decent buyers: nothing is wrong except that nobody knows it exists. Your email is a plain introduction with one link.
  • High revenue, low views: a small number of people found something valuable. Feature it more prominently and tell your list what it is for.
  • Steady views, steady buyers, flat revenue: a pricing conversation, not an email conversation.

A worked pass over nine products

Imagine a store with nine products. The notion template does most of the revenue and does not need your help. A £39 workshop recording has 760 views and 9 buyers, which is the classic high-views, low-buyers shape. A £120 audit call has 84 views and 7 buyers, which is a much healthier ratio on a much smaller stage. Those figures are illustrative, but the pattern is common enough that you will recognise it in your own list within a minute.

Only one of those two deserves an email this week, and it is the audit call. Seven buyers out of eighty-four views means the offer works when people see it, and almost nobody has seen it. Sending your list a short, direct note about the call is likely to move a number. The workshop recording, by contrast, needs a rewrite of its page before any traffic is worth sending to it. Emailing about it now would spend your list's attention on a page that has already failed 750 people.

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The mistake most people make

They email about their best seller. It is the comfortable choice, because the numbers next to it are pleasant to look at, and the email will produce some sales, so it feels like it worked. But the best seller is already being found. The gain is almost always in the product that is one email away from being visible at all. Read your per-product numbers looking for gaps rather than for reassurance, and the boring middle of your catalogue starts earning.

As a rough working rule, a few hundred views on a product before you draw conclusions from its buyer count. Below that you are reading noise, though the traffic source is still useful much earlier.

It changes who you assume is reading. A product whose traffic comes almost entirely from your bio link has never been explained to your email list, so the email is an introduction rather than a nudge.

You keep the storefront, unlimited link cards, the full designer and your customer list with CSV export. Full analytics are part of the paid plans, which begin with a 14-day trial.

Only if the numbers say it has never been seen. If plenty of people have seen it and passed, fix the page or the price first, then email.

You do not have to become an analyst. You have to look at three columns once a week and let them narrow nine possible emails down to one. The writing is still the hard part, and it should be. Choosing the subject should not be.

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#analytics#broadcast#email-marketing#conversion#traffic-source

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