Running it

The most useful number nobody records

Whether the problem is traffic or conversion is answered in one column.

By Updated 4 min readRunning it

Guides on Running it: The admin that turns income into a trade

A quiet month has exactly two causes, and they need opposite responses. Either fewer people asked, or the same number asked and fewer booked.

Almost nobody can tell which, because almost nobody records the enquiries that went nowhere. Bookings record themselves; the ones that evaporated leave no trace unless you make one.

Two numbers, one diagnosis

You need enquiries in and jobs booked, per month. The ratio between them is your conversion rate, and its movement is the entire diagnosis.

What moved What it means What to change
Enquiries down, conversion flat Visibility or demand Ranking, listing, seasonality
Enquiries flat, conversion down Your price, copy, or reply Rate card, first line, response time
Both down Usually seasonal or platform-side Wait a month before acting
Both up, income flat Your mix shifted cheaper Format and tier mix

Without the first column, every quiet month looks the same from the inside, and the default reaction - rewrite the profile - is the right response to only one of the four rows.

The seasonal case matters more than people expect, and treating a single flat month as a verdict is the error described in the post on reading a quiet month as data.

What to actually record

One line per enquiry, in whatever you already use. This should cost under fifteen seconds or you will stop doing it inside a fortnight.

Date. What they asked for, in three words. Price quoted, if you quoted one. Outcome: booked, declined by you, went quiet, said too expensive, wanted something you do not offer. Where they came from, if the platform tells you.

That is it. Six fields, no tooling, no spreadsheet formulas. It sits alongside the other small records that only justify themselves in retrospect, which is the argument in the piece on records you will wish you kept.

The outcome field is the one carrying all the weight, and the reason to use fixed categories rather than free text is that free text cannot be counted at the end of the month.

Reading the outcome column

Each category points somewhere specific, and the pointing is unambiguous enough to act on.

Went quiet after a price. The most common outcome and the most misread. A handful of these is normal; a majority of them means your price is outside the band for what you are visibly offering, and the fix is usually the offer rather than the number. Before cutting, check what the band actually is - reading the market band without guessing is a different exercise from asking whether your price feels high.

Wanted something you do not offer. Count these carefully, because three of the same request in a month is the cheapest demand signal you will ever get, and it is the honest basis for adding a second format.

Went quiet before a price. Look at your first reply. This is a response-time or a clarity problem, not a pricing one.

Declined by you. Worth tracking as a positive number rather than a loss. A rising decline rate with flat income is the shape of a market moving toward you.

Said too expensive, then booked elsewhere at your price. You will occasionally learn this. It means the objection was never the number.

The trap in the ratio

Conversion rate is not a score, and pushing it upward is not automatically good.

A person converting ninety percent of enquiries is almost certainly priced too low, because a healthy rate card produces refusals. A person converting ten percent may simply be visible to the wrong buyers, which is a targeting problem and not a quality one.

There is no universal correct figure, and anyone quoting you one for this trade has invented it. What is informative is your own number's direction over three months, compared against your own price changes, which is why the record has to be yours.

Buyer-side conduct explains part of the noise: a large share of enquiries are people comparing several profiles simultaneously and never intended to reply to all of them, which the demand-side account of how commissions open treats as ordinary rather than rude.

What to do with it monthly

Half an hour, once, on a fixed date - the ritual itself is the monthly review.

Count the outcomes. Compare the two totals against the previous two months, never against last month alone. Change one thing.

One thing, because two changes in a month produce a number you cannot attribute, and this record is worth keeping precisely because it can attribute.

Two cautions about the data itself. A month with fewer than about ten enquiries will not tell you anything, and reading it as though it did is the same error as reading a small sample as a trend - the general form of that problem is set out clearly in Measure My Cock's material on data. To put a number on it: using the Wilson interval that NIST's Engineering Statistics Handbook recommends, at 95 percent confidence 3 bookings from 8 enquiries is consistent with a true conversion rate anywhere from about 14 to 69 percent, while 30 from 80 narrows that to about 28 to 48. And your own memory of the month is not evidence: recall is weighted toward the annoying enquiries, which is exactly the subset that biases you toward believing your buyers are getting worse.

The same caution applies to anything you infer about your scoring being the problem; the accuracy limits of any assessment, automated or otherwise, are documented elsewhere in the network and are not what a conversion column measures.

If you would rather read the platform's own reporting than build the column yourself, whatever enquiry and order data Rate Cock exposes to judges is on the judges page, and it will cover the booked half but not the half this post is about.

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