Selling a Retail Technology Business

Built from patterns we see across hundreds of real retail tech buyer-seller diligence conversations on Rejigg, these are the topics that move price in POS- and payments-adjacent deals: integrations, rollout reality, partner economics, and what happens when a store is down on a Saturday night.

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What buyers ask and how to be ready

Each topic below comes from real buyer-seller conversations. Here's what they ask, what they're really evaluating, and how to prepare.

Dependencies

How exposed are you to POS, payments, and platform shifts?

Buyers are sizing how much of your revenue and gross profit can get repriced or broken by someone else’s roadmap. That can be a POS version change, a processor program update, a marketplace policy tweak, or a hardware model getting discontinued. They also want to know if your integrations are maintained and monitored, or if one engineer’s memory is doing the work.

How to prepare

  • Break down revenue by POS platform and by processor partner with the percent tied to each
  • Document each integration type and who maintains it, plus where the docs live
  • Write down fallback options: alternate processor path, backup partner, and any notice periods in contracts
  • Summarize the last 12 months of platform-driven changes, including time spent and customer impact

Great Answer

About 52% of revenue runs through two POS platforms, and we track that monthly because POS replacement cycles show up in churn and expansions. For our top POS, we use a certified integration and monitoring that alerts us within minutes if order, inventory, or tender sync fails. On payments, our margin is a contracted residual split with 90 days’ notice on changes. We also tested a second processor path with a pilot group, so we have a real fallback.

Okay

We know our top POS platforms and processor relationships and can explain how they work. We have handled partner changes before, but the revenue-by-platform view and documentation are spread across a few places.

Gives Pause

We integrate with a bunch of POS systems and processors, so we’re not really dependent on any one of them. If something changes, we’ll deal with it when it happens.

How Rejigg helps: Rejigg lets you share a clear dependency summary and supporting contracts in a secure data room, with access only after buyers sign digital NDAs. Learn more in the guide

Revenue Model

What’s the real unit you sell—stores, lanes, devices, or volume?

Retail tech revenue can look recurring until a buyer splits platform fees from rollout work and usage-based economics. They’re checking what actually drives expansion in the field: new stores, new lanes, added devices, or more volume through the same footprint. They also pressure-test gross margin when volume dips, but support, on-call coverage, and partner payouts stay flat.

How to prepare

  • Separate revenue into recurring platform fees, rollout/integration work, and variable usage or volume fees
  • Show active locations (or lanes/devices) by month, including expansions and contractions
  • Build unit economics by customer type, including support cost and partner revenue share
  • Quantify typical implementation hours per go-live and how much repeats after launch

Great Answer

We price per location, with add-on fees per lane for high-throughput formats, plus optional volume-based fees for payments-adjacent modules. Last year, 68% of revenue was recurring platform fees, 22% was rollout work, and 10% was usage-based. We can show active locations by month and expansions by cohort. We also track gross profit per location after partner revenue share and support time.

Okay

We price mostly per store, and there’s some implementation revenue early on. We can explain it, but our reporting still mixes rollout work and recurring fees in a few places.

Gives Pause

It’s basically subscription revenue. Implementation is part of the subscription because it’s invoiced monthly during the rollout.

How Rejigg helps: Rejigg’s QuickBooks integration helps you import and organize revenue into a buyer-friendly split inside the built-in data room. Learn more in the guide

Payments Economics

If you have payments revenue, what are the actual unit economics per merchant/location?

Payments-adjacent businesses get valued on durable gross profit per merchant, not just processing volume. Buyers want to see what you earn, what gets paid out to processors and partners, and how disputes and support time hit margin. They also look at how fast economics could change if the processor updates the program or reprices the split.

How to prepare

  • Create a merchant-level view: average volume, average gross profit, and margin drivers by segment
  • List payouts clearly: processor fees, partner revenue share, and any sales incentives you pay
  • Summarize chargeback and dispute exposure and who handles it day-to-day
  • Call out the top 1–2 program risks and your mitigation plan

Great Answer

On average, we generate $185 in monthly gross profit per live merchant after processor fees and partner splits, and we can break that out by single-store versus multi-location. Chargebacks are low and concentrated in two retail categories, and we can show the workflow and time cost to resolve disputes. Our take-rate is governed by a program with defined notice periods. We’ve also modeled what a 10% split compression would do to gross profit.

Okay

We can show volume and topline payments revenue, and we have a sense of margin by merchant. We still need to clean up reporting so support time and channel payouts are separated.

Gives Pause

Payments revenue is strong because it’s recurring and grows with volume. We don’t really track it per merchant, and terms haven’t changed so far.

How Rejigg helps: Rejigg helps you package payments economics and partner terms in one place, then share it selectively after an NDA. Learn more in the guide

Support Reality

When something breaks in-store, who fixes it and how fast?

Buyers are trying to understand whether a Saturday outage turns into churn, refunds, or a frantic founder escalation. They also want to see if support scales as you add locations, lanes, and integrations. Strong answers show real incident operations: detection, escalation, customer comms, and follow-up fixes.

How to prepare

  • Compile ticket volume by month and the top 10 ticket/incident categories for the last 90 days
  • Document on-call coverage, escalation owners, and customer communication templates
  • Report time-to-detect and time-to-recover for meaningful incidents and what changed afterward
  • Split tickets caused by your product versus upstream POS/network issues and show what reduced each

Great Answer

We have a named escalation owner and a rotating on-call schedule that covers weekends and holidays. Here are our top incident categories and the last three meaningful incidents, with time-to-detect, time-to-recover, and the fix we shipped afterward. We also tag tickets that come from upstream POS permission changes and store network issues. Tickets per live location dropped 28% after we added pre-checks and tightened our go-live checklist.

Okay

We handle incidents quickly, and we have informal on-call coverage. We can pull ticket data, but we have not summarized it into categories or trends.

Gives Pause

Support is mostly the founder and a Slack channel. We don’t track incident types or recovery times, but customers seem happy.

How Rejigg helps: Rejigg lets you share incident summaries, support metrics, and runbooks through the secure data room once buyers are vetted and under NDA. Learn more in the guide

Implementation

How repeatable is implementation, really?

Buyers want to know whether every new retailer turns into a custom integration and a long chain of calls with IT, the POS reseller, and the processor. That usually means growth requires adding headcount, and the margin story falls apart. They also look at rollout delays to see what is normal retail friction, like security reviews and device procurement, versus missed handoffs and no playbook.

How to prepare

  • Map a typical 30–120 day rollout with owners: your team, retailer IT, POS reseller, and other vendors
  • Show rollout timelines by bucket and list the top reasons deals land in the long tail
  • Quantify common scope creep triggers like data cleanup, tax edge cases, loyalty migrations, and receipt customization
  • Set guardrails with templates, paid change orders, and clear boundaries on custom development

Great Answer

A typical rollout goes from signature to first store live in 41 days on average. For multi-location banners, first store to 50 stores averages another 63 days. The long tail is usually security review timing and device procurement, not engineering. We can show what percent of deployments require custom work and our change-order process for anything outside the standard playbook.

Okay

We have an onboarding checklist and can walk through the steps. We have not broken down rollout timelines by cohort or quantified what triggers scope creep.

Gives Pause

Implementations vary a lot because every retailer is unique. We jump on calls and figure it out as we go.

How Rejigg helps: Use Rejigg’s data room to share rollout playbooks, timeline distributions, and real examples so buyers can underwrite implementation confidently. Learn more in the guide

Churn Drivers

What does churn look like by cohort, and what are the retail-specific reasons merchants leave?

In retail tech, churn often comes from real-world events like store closures, franchise turnover, ownership changes, and POS migrations. Buyers want to separate churn you could not control from churn tied to onboarding, integrations, and support quality. They also look at whether cohorts stabilize after go-live or keep leaking because stores never really got fully live.

How to prepare

  • Report churn by cohort and reason using categories like store closures, POS switches, and vendor consolidation
  • List your last 10 meaningful churns with a clear reason and what you changed afterward
  • Show expansion by cohort alongside churn: new stores, new modules, more lanes/devices, more volume
  • Name the top 2–3 fixable churn drivers and the operational change that reduced each

Great Answer

Annual churn is 9.8% in SMB and 2.1% in mid-market, and we break it down by reason. The biggest structural bucket is store closures and franchise turnover. The biggest fixable bucket used to be failed implementations on a specific POS version. We can walk through the last 10 churns and the exact changes we made, and we can show cohorts stabilize after the first 90 days when go-live is clean.

Okay

We track churn and have a general sense of why merchants leave. We have not categorized churn reasons consistently or tied churn back to onboarding cohorts.

Gives Pause

Churn is low. Merchants leave for random reasons, and we don’t track it beyond cancellations.

How Rejigg helps: Rejigg helps you share churn and cohort reporting alongside customer lists and contracts in one place, so buyers can interpret churn in context. Learn more in the guide

Channel Risk

Where does growth actually come from: channel, direct, or expansions?

Buyers want to know how much growth depends on a POS reseller, referral partner, or payments program you do not control. They also look for expansions inside existing retailers, which tend to be steadier than one-time catalyst events like chain-wide POS migrations. If one partner dominates, buyers focus on who owns pricing, renewals, and the customer relationship.

How to prepare

  • Break down new revenue by source: channel referrals, direct inbound/outbound, and expansions
  • Document channel roles: relationship owner, pricing control, level-1 support, and renewals owner
  • Show partner performance by partner: leads, close rate, deal size, time-to-go-live, and support burden
  • Build a real second path if one partner dominates and be upfront about the dependency

Great Answer

Over the last 12 months, 46% of new recurring revenue came from two channel partners, 34% came from direct, and 20% came from expansions inside existing retailers. We can show partner-by-partner performance, including support burden and churn, and we’re connected to each partner across sales and ops so it is not a single-thread relationship. We also have a second path producing deals today through direct demand and a smaller partner cohort.

Okay

Channel drives a lot of growth and we have strong relationships. We have not quantified partner contribution and performance cleanly yet, and we’re building more direct inbound.

Gives Pause

One partner brings most of the deals, but it’s stable because we have a good relationship with one person there.

How Rejigg helps: Rejigg brings vetted buyers directly to you and keeps conversations organized, so you can create deal tension without relying on one partner. Learn more in the guide

Owner Dependence

What’s the one part of the business you personally hold together, and how will it work without you?

Founders in retail tech often sit in the middle of partner escalations, key retailer relationships, and the ugliest edge cases in POS integrations. Buyers are testing whether the business runs through normal roles and documented processes, especially during peak hours. If the founder is the default fixer, buyers price in execution risk after close.

How to prepare

  • List the recurring responsibilities only you do today and assign each to a named owner for handoff
  • Document escalation paths, partner contacts, and integration runbooks
  • Identify the next hires that reduce founder load and write what work each hire takes over
  • Write a transition plan with timeline and clear handoff outcomes

Great Answer

I’m still the escalation point for three areas: processor issues, two enterprise relationships, and the hardest POS integration debugging. Each one already has a named owner, and we can share the runbooks and partner contact map. The transition plan is a 90-day overlap with weekly escalation reviews. By week six, I’m off the on-call path and only pulled in for planned check-ins.

Okay

I get pulled into escalations and partner relationships, but the team handles most day-to-day work. We still need to document a few handoffs.

Gives Pause

I’m not really involved day-to-day, but I jump in when things get tricky. It should be fine after the sale.

How Rejigg helps: Rejigg helps you share org charts, runbooks, and transition plans in the data room so buyers can see the business is transferable. Learn more in the guide

Financial Readiness

Can you show clean financials that separate platform revenue, implementation labor, and the real cost to serve?

Retail tech gets mispriced when books mix recurring fees, rollout revenue, partner payouts, and the real support burden. Buyers want financials that a lender and an operator can both follow. They also look for proof of costs that show up in the field: implementation labor, after-hours coverage, integration maintenance, and any hardware exposure.

How to prepare

  • Separate your P&L into recurring platform revenue, implementation/services revenue, and variable volume-based revenue
  • List owner add-backs in plain English with supporting proof and keep them conservative
  • Track cost to serve: implementation hours, support labor, partner revenue share, and warranty/returns costs
  • Upload financials, contracts, and KPIs into one controlled data room

Great Answer

We can show clean monthly financials with platform fees separated from rollout work and volume-based revenue. We track implementation and support labor so gross margin reflects reality, including weekend coverage and ongoing integration maintenance. Owner add-backs are documented with receipts and payroll records. We can tie the numbers back to bookkeeping without custom spreadsheets.

Okay

We have solid financials and can explain our revenue. A few services and subscription lines are still mixed together, and we would need to clean that up for diligence.

Gives Pause

Our accountant can pull whatever you need. Revenue is mostly recurring, and margins are strong if you ignore the extra support and rollout work.

How Rejigg helps: Rejigg’s QuickBooks integration and built-in data room keep your books, add-backs, and diligence docs organized securely, with buyer-by-buyer access controls. Learn more in the guide

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Questions Retail Technology Owners Ask Us

Retail tech valuations depend on what’s truly repeatable and what’s really services. Buyers separate platform fees from rollout labor, then pressure-test dependencies on POS vendors, processors, and channel partners. Support load and churn tied to POS replacement cycles also move the multiple. For a fast range, use Rejigg’s free valuation calculator, then back it up with a revenue split by location, usage or volume, and implementation.

No. Brokers charge 5–10% of the sale price for work you can run yourself with the right process. Rejigg gives you vetted buyers, digital NDAs, a secure data room, and deal tracking so you can sell without a middleman and keep conversations direct. Start with the finding buyers guide, then list when your materials are ready.

Sometimes. SBA financing tends to work better when the business has stable, provable cash flow and contracts that transfer cleanly, which can be harder for pure software tied to changing POS and payments ecosystems. Implementation revenue and longer-term retailer agreements can help if they are repeatable and profitable. You can model payments and down payment scenarios with Rejigg’s SBA loan calculator before you negotiate terms.

Retail tech deals often take longer than a typical SaaS sale because buyers dig into integrations, partner terms, and support coverage. Many owners see a few months to find the right buyer and reach a signed offer, then another couple of months for diligence and closing. Timelines stretch when enterprise contracts, security questionnaires, or payment program approvals are involved. Rejigg helps you keep momentum with direct messaging, scheduling, and a built-in data room. See the due diligence checklist.

Buyers commonly ask for financial statements, customer and partner contracts, POS and processor agreements, a rollout playbook, incident and ticket summaries, and security documentation that matches retailer requirements. If you ship hardware, add inventory counts, vendor terms, warranty terms, and return history. Put these in one place early so diligence does not drag. Rejigg’s built-in data room lets you organize documents once and control buyer access without emailing attachments.

Present it the way a retailer experiences it: ongoing platform fees, one-time rollout work to get stores live, and any variable usage or volume fees after launch. Buyers get skeptical when rollout labor is labeled “recurring” because it is billed monthly. A clean view includes active locations by month, typical hours per go-live, and who does the work. Rejigg’s QuickBooks integration can help you build the split inside the data room quickly.

Write a plain-English summary that answers three questions: who owns the merchant relationship, who controls pricing and renewals, and how much notice you get before terms change. Then share the actual agreement after an NDA, because partner terms are sensitive. Buyers mainly want to understand program risk and how quickly your gross profit can move. Rejigg handles buyer vetting and digital NDAs, so you can share partner contracts only with serious buyers through the secure data room.

Buyers look at concentration across retailers and across dependencies. One large retailer can be fine if the deployment is sticky, expansion is real, and the contract is transferable, but buyers will still ask what happens during a POS migration or vendor consolidation. The same goes for relying heavily on one channel partner or one processor program. Rejigg’s deal tracking helps you compare offers when different buyers price concentration risk differently.

A working capital adjustment is a closing true-up that ensures the business comes with a normal level of “operating fuel,” like receivables and payables. It matters in retail tech when you have large retailer receivables, prepaid annual subscriptions, implementation work in progress, or hardware inventory. If “normal” is not defined up front, sellers can get surprised at closing. Rejigg helps you keep these terms visible and comparable across offers.

Earnouts are common when buyers are unsure about durability, like channel performance, expansion assumptions, or revenue tied to a payments program. If you agree to one, anchor it to metrics you can measure cleanly, like active locations, gross profit, or retained merchants. Get specific about reporting, who controls pricing and support decisions, and how disputes get resolved after closing. Rejigg’s offer comparison dashboard shows earnout terms side-by-side so you can compare risk, not just headline price.

Buyers often want a non-compete so you do not sell a similar POS- or payments-adjacent product to the same market right after closing. They also want a transition period to hand off partner relationships, escalation paths, and rollout knowledge. In retail tech, it is common to cover at least one peak retail period so the buyer sees incident handling in real conditions. Plan the handoff using the transition planning guide.

Hardware can increase stickiness, but it adds operational risk buyers will price in. They will ask about dead inventory, returns, warranty replacement rates, and who pays shipping on RMAs. They also look at how often device models turn over and whether your margin survives the replacement workload. Put inventory counts, vendor terms, and warranty policies into the data room early so it does not become a late-stage surprise. Rejigg’s secure data room is built for this kind of diligence.

Buyers typically ask for business tax returns and proof behind any add-backs you claim. If you sell hardware or taxable services, they may also ask for sales tax filings and support for multi-state compliance, since retailers often operate across many states. Make sure filings tie to your financial statements and that gaps have a clean explanation. Rejigg helps you store and share these documents securely with vetted buyers after an NDA.

Confidentiality can be tricky because partners and retailers notice change fast, and rumors create channel politics. Most sellers use staged disclosure: share high-level metrics first, then share customer names, partner agreements, and architecture details after an NDA and clear buyer intent. Keep a tight list of who knows, and document what you shared with each buyer. Rejigg pre-vets buyers, requires digital NDAs, and lets you control exactly what each buyer can see in the data room.

They describe the business as “recurring SaaS” but don’t show the operating reality that buyers will find anyway. That includes rollout labor, partner payouts, brittle POS edge cases, and after-hours support coverage. The damage is usually trust, not the metric itself. Bring evidence early: a clean revenue split, rollout timeline distribution, incident history, and partner terms. The prepare-to-sell guide walks through how to package this.

Compare offers based on what you keep and what can change after signing: cash at close, any seller financing, earnout triggers, working capital adjustments, and holdbacks tied to retention or certifications. In retail tech, a higher headline price can carry more risk when it depends on partner-controlled outcomes like referral flow or take-rate. Rejigg’s deal tracking and offer comparison dashboard puts terms side-by-side so you can evaluate risk in plain English.

Serious buyers want quick clarity. Include where you fit in the retail stack, your top POS and payments dependencies by revenue, rollout timelines, support volume and top ticket categories, and a plain-English description of what data you touch in-store. You can share a high-level overview publicly, then gate the details behind an NDA. On Rejigg, buyers are vetted, and NDAs are signed digitally before they see sensitive materials in the data room. Start with how to find your dream buyer.