Applied Marketing Intelligence
Last year our website was under a tenth of one percent of the business.
Everything else walked into a showroom and paid at a register, where no marketing platform we could buy was able to see them. That is the ordinary condition of a retailer who sells in person. Rinforza reads the register as well as the website, so the people who actually spend the money are the people you can segment, message, reward and measure.
See the demoSeven showrooms and over 53,000 customers run on this today. We reply personally, usually within a day.
Why it exists
Most marketing platforms have never met the customers who walk in the door.
Almost every marketing platform was built for online stores. It knows the people who bought on a website, because a website collects an email address before it takes the money.
It knows almost nothing about the people who walked into the building. They paid at a register, and their details went into a point-of-sale system the platform has never heard of — so they are not on the email list, not in any segment, and not in any report.
The blindness is not just a reporting gap. It costs money every day. Google and Meta optimize against the conversions you feed them, so feed them a sliver of the business and they will faithfully go and buy you more of that sliver. Meta's strongest campaign type needs roughly fifty conversions a week before it works at all — more than our website could ever supply, and a bar our register clears several times over once the platform can see it.
Rinforza reads the register as well as the website. That one difference is what makes everything after it work: you cannot segment, automate, reward or measure a customer the system cannot see.
Roughly how many customers do you think you have — and how many are on the list you actually market to?
For most businesses with a physical location, the second number is a small fraction of the first.
We know because it was us. We were paying for a marketing platform that did its job perfectly, while it could see almost none of our revenue. So we built the thing that could see the rest, ran our own company on it, and then started selling it.
What the application does
A customer database, and the marketing that runs on it.
Six parts in one system, replacing what most retailers buy as four or five separate subscriptions.
One profile per customer
Reads your point-of-sale system and your online store, works out which records are the same human being, and merges them. Someone who bought a sofa in-store in 2021 and a lamp online last month becomes one customer with a five-year history, not two strangers.
Every profile carries lifetime value, order count, average order, days since last visit, what they buy and from which department — and tracks email, text, mail and call consent separately, because someone can be fine with email and not with texts.
Segments you can actually build
Rule-based audiences over that whole database: lapsed in-store buyers, mattress replacement cycle, appliance buyers, in-store-only-but-emailable, high-value VIPs. Built in the browser, no SQL, no export-and-pray.
Each one can be sent to, exported to CSV, or pushed to Meta as a hashed custom audience.
Campaigns and automations
One-off campaigns you write, preview and dry-run before sending. Plus nine automated flows that work against the entire customer list, every day, without anyone touching them: welcome, post-purchase check-in, browse abandonment, win-backs at twelve and twenty-four months, review requests, complete-the-room, post-delivery care, and a first-order lead nudge.
All nine ship switched off: you preview each one and turn it on when you are ready, so nothing begins messaging your customers just because it was installed.
Sending costs about ten cents per thousand, so the bill stops growing with the list. Unsubscribes and consent are enforced by the system, not by whoever is sending.
Reviews, loyalty and your website
Asks customers for a Google review after they buy, sent to the right listing for the store they bought from. Because the ask comes from the customer database rather than the website, the people who bought in a showroom get asked too — and for most retailers that is the majority of customers a review tool never reaches.
Points and tiers that earn on in-store purchases as well as online, built on the same profiles. Plus product recommendations, targeted banners, and an email-capture popup that turns anonymous website visitors into known customers.
Proof, at the register
In-store purchases are uploaded back to Meta daily, so an ad campaign is judged on money taken at a register rather than on clicks. Reporting breaks results down by store and by segment.
And every campaign reports the purchases its recipients made within 14 days, in store and online, with the counting rule printed beside the number.
Text messaging Live
Promotional and automatic texts, with opt-in and opt-out enforced by the system rather than by whoever is sending.
Live in production and sending for our own business, with a STOP honoured on every send. Carrier registration for your own business number takes several weeks and is part of setting up, so texting is the last channel a new customer switches on.
Proof
Every number here came out of our own business.
We did not build this to sell. We built it because we needed it, ran seven furniture showrooms and fifty thousand customers on it with no fallback, and started selling it afterwards.
That is also why the numbers are specific. They are ours, they are checkable, and none of them came from a pilot.
Figures: Furniture Fair - August to September 2026
Over 53,000 customer profiles resolved from more than 85,000 purchases across a point-of-sale system and an online store. Both figures move as identities merge and orders land, so we will not quote them to the digit.
Replaced the marketing platform we had been paying for, and canceled it. We are not running both.
Our entire company has run on it, with no fallback, since July 2026 — seven showrooms, every campaign, every automation.
First upload of in-store sales to Meta covered one week: $228,479 across 166 purchases. Before that, no advertising we ran could be tied to a single dollar taken at a register. It has kept running since — $1,001,140 of in-store purchase value in batches acknowledged by Meta, 11 August to 6 September 2026.
Every campaign is reported as the sales tied to it: what the people it was sent to bought, in store and online, within 14 days of the send. That is a record of what those customers bought, not a measure of what the campaign added.
Who builds it
A retailer that had to build its own software.
Rinforza is not a startup that surveyed a market and picked a category. It came out of a furniture business that could not buy what it needed, spent a year building it, and now runs on it every day.
It is sold to retailers whose revenue mostly happens in a building — furniture, appliances, mattresses, flooring, and anywhere else the sale is made in person and recorded at a register.
Operating principles
Nothing ships that we have not run on ourselves.
Our own company is the first production deployment of every part of this system, with no fallback in place. Text messaging was listed here as not live until we had sent it ourselves; it is live now, and the same rule holds for everything on this page.
Measured at the register, not the click.
Ad platforms over-report their own contribution. Rinforza reads results from your own sales records instead: each campaign and each ad audience is tied to what the people on its list went on to buy, in store and online.
Your customer list is yours.
Every business runs on its own isolated instance with a separate database and separate credentials. We do not pool customer data, sell it, or train models on it.
Get in touch
If most of your revenue happens in a building, we should talk.
Rinforza is early, and we are taking on a small number of businesses at a time.