Customer qualification and reactivation. Who's gone quiet, for how long, and whose move it is.

The quote request from three weeks ago that nobody has thought about since. The distributor who used to order every spring and hasn't called this year. Neither of them said no. This piece keeps a list of who's gone quiet, for how long, and what the next step is.

This page covers a single piece of the system. The other pieces, and how we choose which one to start with, are on the services page.

What changes in practice

This morning's list exists, and it's short. Instead of trawling through the inbox and trying to remember who needed a call back, your salesperson finds twenty names in priority order, each with the reason it's on the list and what happened last time.

With new enquiries, the gain is in speed. Contacting an enquiry within 5 minutes of it arriving makes you up to 100 times more likely to actually speak to that person than waiting thirty minutes, according to the InsideSales.com/MIT study presented in 2007.

That figure measures successful contact, not a closed sale, and it needs reading carefully: the full reasoning, with the limits of the data, is in our article on the five minutes of the first reply.

A contact without a next step fades away on its own, and nobody ever actually decides to let it go.

Lapses are judged by the customer's own pattern, not a fixed number of days

This is the part hardly anyone builds, and getting it wrong costs real customers. Nearly every tool asks you to pick a number of days, say ninety, and labels anyone past it as lapsed. In a business that sells to both restaurants and seasonal distributors, that threshold is wrong half the time.

The restaurant that orders every week has lapsed after twenty days, and nobody notices because ninety haven't gone by. The distributor who buys once a year gets flagged at ninety days, receives an email asking why they've stopped ordering, and realises the people on the other end don't understand how they work.

So the calculation is done customer by customer: the average gap between their orders, and a flag when that gap is exceeded by the agreed margin. It needs some history, and the minimum is 2 orders: with a minimum of three, an annual buyer would never make it into the calculation within a two-year window.

It's a rule learned from real data, and it's why this piece is built on the adaptive CRM. Without a reliable order history, a customer's buying pattern can't be calculated, and you're back to a single threshold for everyone.

What the system does, step by step

Every contact goes through the same route, and every step leaves a log entry recording who did what and when.

Step	What happens	What you get
Statuswhere it stands	Every contact gets one of the statuses that exist in your process, and none is left without one.	One screen shows how many have stalled and at what stage, without asking around.
Priorityyour criteria	The criteria are agreed during the analysis and applied to every contact, not just the ones someone remembers.	The day's twenty calls are the right ones, not the ones at the top of the alphabetical list.
Patternworked out per customer	The gap between orders is calculated for every customer with at least 2 orders behind them, and compared with the most recent one.	A seasonal customer is flagged when they're genuinely overdue, not three months early.
Follow-updraft ready	A draft is prepared that mentions the last order and the reason for getting in touch, in the recipient's language.	You read it and send it in a minute, and it doesn't read like a message sent to a thousand people.
Outcomeand opt-outs	Replies, orders and opt-outs are recorded, and anyone who opts out is removed from the lists for good.	You know what each round produced, and nobody receives a message they asked not to get.

Writing to a past customer is legitimate, and the law sets the conditions

In Italy the rule is in Article 130(4) of the Privacy Code, and the Italian Data Protection Authority's guidelines of 4 July 2013 explain it as follows: if the controller uses, for the direct sale of its own products or services, the email address provided by the data subject in the context of the sale of a product or service, it need not request the data subject's consent.

The conditions are strict, and the system treats them as hard limits. It applies only to email, only to the business that made the sale, only to products or services similar to those bought, and only if the person was informed and hasn't objected.

That has a practical consequence: every message has to explain how to opt out easily and free of charge, and anyone who opts out is removed from the lists for good, not just until the next round. The opt-out register is part of the system, not a separate spreadsheet someone forgets to update.

Bought lists fall outside this scope, because those addresses don't come from a sale you made. Finding new contacts is a different job, with its own rules, handled by finding and qualifying new leads.

What goes out on its own, and what waits for a person

The list work happens on its own: who goes on it, with what priority, for what reason and in what order. The draft message is prepared on its own too, and arrives ready for the person who needs to send it.

Nothing that commits the business ever goes out on its own. A price, a discount to win someone back, a confirmation or a delivery promise always waits for a person, and that's a matter of method before it's a matter of caution.

Where an automatic reply exists, it states in one line that it comes from a system. From 2 August 2026, Article 50 of the AI Act applies, and how we say it is on the AI transparency page. The reasoning behind keeping a person in the loop is on our page about the principles we build by.

Businesses with their data in order call back the right people

The difference between those who do this and those who don't has been measured, and it's large. In the 2025 European survey on technology use in enterprises, 65% of large companies used customer management software, against 25% of small ones, and for the tools that analyse that data the gap is 69% against 11%.

The figures are from Eurostat, published on 20 May 2026, and cover enterprises with ten or more employees. The businesses on the right side of that gap don't work harder: they know which twenty names to call today, while the others pick them from memory.

Same mechanism, different name in every trade

The mechanism is identical; the customer who slips away isn't. It's worth looking at your own case, because that's where you see how many are slipping away right now.

Sector	The customers who vanish without a word	Where you see it
Food and agricultureand export	The foreign distributor who ordered once and never reordered, and the enquiry from a trade fair that nobody followed up.	The reorder that never comes
Hospitalityaccommodation and events	The couple who asked for a quote in March, got a reply and then went quiet, while the date is still free.	The run-up to the season for a guest accommodation business
Restaurantsand bars	The company that booked its Christmas dinner every year and hasn't been in touch this year, when the big tables are allocated in September.	A dinner service with the phone ringing unanswered

What this piece doesn't do

It doesn't buy lists or write to people who have never contacted you. It works with contacts that are already yours, which is the only group Article 130 covers you for, and the only group where a message makes sense.

It doesn't make up discounts to win people back. A discount is a commercial decision that stays with the person who makes it, and a system that offers terms on its own teaches customers to wait until they're chased.

It doesn't replace a phone call where a phone call is needed. On deals that matter, the system prepares and reminds; a person does the talking, and the piece that gets the enquiry that far is Inbox AI.

Questions and answers