Four numbers, from one month.
Convert
What one percentage point of recovery is worth
$2,724
Every month. That is $32,689 a year for each point you move, from work you do once.
Show me where the revenue isWhere that number comes from
2,898 carts were abandoned, worth $272,412 at your average order. That is the pool, and one point of it is the number above.
You recover 116 of them today, worth $10,896 a month.
| If recovery goes up by | New rate | Recovered monthly | Extra |
|---|---|---|---|
| 1 point | 5.0% | $13,621 | $2,724 |
| 3 points | 7.0% | $19,069 | $8,172 |
| 5 points | 9.0% | $24,517 | $13,621 |
Everything here runs in your browser. Your numbers are never sent anywhere, not to me and not to anyone else.
How this is calculated, and what to put in
How this is calculated
Checkouts started, minus the ones that completed, gives the number abandoned. Multiply by your average order and that is the pool.
One percentage point of that pool is the headline number. Everything else on the page is that number applied over different spans.
Why a point rather than a target
You will find published recovery rates to aim at. I have left them out. A rate from other companies, with other products and prices, is not a target.
What a point is worth to you is different. It tells you whether the work pays before you start. It stays true whatever anyone else manages.
What to put in
- Checkouts started
- People who reached checkout, not people who added to cart. Checkout is where intent is real and where recovery works.
- Share that completed
- Of those checkouts, how many turned into orders without you doing anything about it.
- Average order value
- Across the same month. Recovered orders run close to your average. This is a fair figure to use.
- Recovery today
- The share of abandoners who come back because of a message. Leave it at zero if you have nothing running; that is a common answer.
What to do with the answer
Compare the yearly figure against what building a proper sequence costs. Recovery is a build you do once. The comparison is a one time cost against a repeating return.
If nothing runs today, the first sequence has nothing to beat. That makes it the easiest work here to justify.