A bakery has no diary. It has customers to bring back

You can't steer walk-in trade, but you can steer orders, loyalty cards and business customers. That is where revenue moves.

Opportunities detected last night

Example
  • M. Exemple

    41% past the usual 7-day rhythm

    €45

    62% chance

  • Mme Modèle

    Booked the same service three times, never the next one

    €75

    38% chance

  • Comptoir Démo

    Business account: orders down for the past 2 months

    €480

    44% chance

Expected value across these three lines

€268

Product illustration. The intervals and prices come from the model for this trade; the names are fictional and none can be contacted.

What costs you most, and nobody sees

  • Business customers lost without anyone noticing
  • Peak seasons — Epiphany cakes, Yule logs, the holidays — prepared at the last minute
  • A loyalty card gathering dust in a drawer

Three levers, tuned to your trade

  • Hold on to account customers

    Restaurants, companies, local authorities: an order that stops is flagged within the week, not at year end.

  • Get ahead of peak seasons

    Last year's orders become this year's call list, with names and dates.

  • Put loyalty to work

    The loyalty scheme feeds your follow-ups instead of sitting there for show.

The starting return interval for this trade is 7 days, or roughly 1 weeks. It is then recalculated from your real data, customer by customer.

The sums, assumptions on show

No customer is quoted here. This is arithmetic you can redo with your own numbers: swap the assumptions for yours and the reasoning still holds.

  • 18 business customers
  • 2 followed up before they stop ordering, each quarter
  • Monthly order of €320

2 × €320 × 9 months retained = €5,760 that did not go elsewhere.

A different trade?

Your next customers are already in your sales history.

Connect your data and look at the list. The analysis is free, and nothing is sent without your say-so.