You've seen it happen: someone posted at the door with a clicker, tapping every time a customer walks in. Or maybe it's a browser tab open to a free app on an old tablet, with a staff member dutifully pressing a button between helping customers. It works — sort of — but somewhere in the back of your mind, you know you're leaving money on the table.
Manual people counting tools like PeopleCounter.app have made it easier for store managers to get some visibility into foot traffic without spending thousands on sensor systems. But "some visibility" is doing a lot of heavy lifting in that sentence. If you're serious about running a high-performing retail store, you need to understand not just how many people walked through your door, but what happened after they did — and what that means for your staffing, your sales strategy, and your bottom line.
This is exactly the gap that Dor was built to close.
What Manual People Counters Actually Give You
Let's be fair about what tools like PeopleCounter.app do well. They're free, they require no hardware, and they're easy to set up — you can be counting visitors in under a minute. For a pop-up shop, a community event, or a low-traffic boutique just getting started, that's genuinely useful.
PeopleCounter.app lets staff tap to count arrivals and departures, tracks real-time occupancy, and can export a PDF report at the end of the day. You'll get headcount totals, some basic peak hour data, and if you're using the gender-tracking feature, a rough demographic split. It's a digital tally counter with a nicer interface.
But here's the honest problem: it requires a person to run it, and that person is your staff.
Think about what that actually means in practice. The moment your store gets busy — the exact moment you'd want the most accurate data — your counter is probably walking away from the door to go help customers. If you have a single-entrance store, you're choosing between accurate data and good customer service. And if you have multiple entrances? You either need multiple staff members stationed at doors, or you're guessing.
Then there's the data itself. A PDF report with yesterday's headcount is a starting point, not a strategy. It tells you people came in. It doesn't tell you what percentage of them bought something. It doesn't connect to your sales numbers. It doesn't adjust for the weather, the season, or the fact that you just ran a promotion. It doesn't help you figure out whether your Tuesday staffing is costing you sales or wasting labor.
Manual counting gives you a number. What you need is insight.
What Changes When You Switch to Dor
Dor is a hardware-plus-software people counting platform built specifically for retail. The hardware is a thermal sensor — battery-operated, wireless, and installed with no more effort than peeling a sticker off its backing and mounting it at your entrance. No wiring, no network connection, no IT support required. It ships in days and takes minutes to set up.
From there, the difference in what you can actually do with your data is significant.
Counting That Doesn't Depend on Your Staff
Dor's thermal sensor counts every person who walks through your door automatically — no tapping, no stationing an employee at the entrance, no gaps when things get busy. The sensor uses machine learning to improve its accuracy over time, in any lighting condition, without needing recalibration. You get a complete, accurate count around the clock, whether you're slammed on a Saturday afternoon or quiet on a Tuesday morning.
This matters more than it might seem at first. The ROI on accurate data compounds over time. When every count is reliable, your trends are reliable. When your trends are reliable, the decisions you make based on them are actually grounded in what's happening in your store — not in a best-effort approximation that fell apart whenever things got hectic.
Conversion Rate Visibility — The Metric That Changes Everything
Here's a number most retail managers using manual counters never see: conversion rate.
Conversion rate is the percentage of people who walk into your store and actually make a purchase. It's arguably the most important performance metric in retail, and it's completely invisible unless you're connecting foot traffic data to your sales data.
Dor integrates directly with major point-of-sale systems including Shopify, Square, and Lightspeed. Once connected, your dashboard shows you not just how many people came in, but how many of them bought something — and how that rate changes by hour, by day, by season, and by location.
This is where the real power kicks in. One Dor customer — Adam Scott, President of Clothes Mentor — put it plainly: "After working with Dor, I've learned that even a 10% drop in conversion rate costs my business from $5,000 to $7,000 depending on foot traffic. Without Dor, I couldn't know how much money walked out the door."
With a manual counter, you never see the money walking out the door. With Dor, you do — and you can do something about it.
Staff Smarter, Not Harder
Staffing is one of the biggest controllable costs in retail, and it's also one of the most consistently mismanaged — not because managers aren't trying, but because they're making decisions without the right data.
When do you actually need three people on the floor? When can you comfortably run with one? If you're staffing based on instinct or historical guesswork, you're almost certainly overstaffed during slow periods and understaffed during the peaks that drive the most revenue.
Dor's dashboard shows you foot traffic patterns broken down by hour and day of week across any date range you want to analyze. You can see exactly when your store sees the most visitors, how that compares week-over-week or year-over-year, and how changes in staffing correlate with changes in conversion. That's the kind of data that lets you build a staffing schedule grounded in evidence, not assumption.
Johnny Freeman, founder of Johnny Fly Co., described it this way: "We love using Dor! It is magic. This is going to help us dramatically with staffing, store hours, and employee/salesperson evaluation."
Multi-Location Intelligence
If you manage more than one location — or aspire to — the gap between manual counting and Dor gets even wider.
With PeopleCounter.app or any manual system, comparing performance across locations requires collecting data from multiple sources, reconciling formats, and building your own analysis. It's doable, but it's slow and imprecise.
Dor gives you a single dashboard that aggregates foot traffic, conversion, and revenue metrics across every location in your portfolio. You can compare store-by-store performance, identify which locations are underperforming, and spot patterns that only become visible when you're looking at the full picture. Multi-location retailers like Apricot Lane, Duluth Trading, and Woolrich use Dor precisely because this kind of centralized visibility is impossible to replicate with manual methods.
Data That Works with Your Existing Systems
Dor isn't a data silo. Beyond the native POS integrations, Dor provides a full REST API that lets you pipe foot traffic data into whatever business intelligence tools your organization already uses. If you're running dashboards in Tableau, Power BI, or a custom internal system, your Dor data can live there too.
This matters for larger organizations that need foot traffic to be one input among many in a broader analytics stack — and it means Dor grows with you as your operations become more sophisticated.
A Support Team That's Actually in Your Corner
Manual tools are self-serve by design. That's fine when the stakes are low. But when foot traffic data is informing real decisions about staffing, marketing spend, and store operations, you want a partner who can help you interpret what you're seeing and act on it.
Dor assigns every customer a dedicated customer success manager. They're available by phone, email, or chat, and they provide quarterly custom reports that help you connect your data to actionable growth opportunities. If a sensor goes offline, they're working to resolve it proactively before you notice a gap in your data.
The Real Cost of Staying Manual
It's tempting to frame this as a cost conversation — PeopleCounter.app is free, Dor costs money. But that framing gets it backwards. The question isn't what Dor costs. The question is what staying manual is costing you.
If a 10% dip in conversion rate costs an average store $5,000–$7,000 (as Clothes Mentor found), and you're flying blind on conversion because you're not connecting traffic to sales, how many months of that have already gone by? If you're overstaffing slow periods and understaffing busy ones because your traffic data has gaps and errors, what's that doing to your margins and your customer experience simultaneously?
Free tools look like they save money right up until you add up what you can't see.
Making the Switch
Upgrading to Dor doesn't require a renovation, an IT project, or a significant disruption to your operations. The sensor ships quickly, installs in minutes, and starts delivering data the same day. The dashboard is built for store managers, not data scientists — if you can read a chart, you can use Dor.
More than 2,000 retail stores are already using foot traffic analytics from Dor to make smarter decisions about staffing, marketing, and store operations. The retailers who get the most out of it aren't necessarily the biggest or the most tech-forward — they're the ones who decided that guessing wasn't good enough anymore.
If you're still counting manually, you're still guessing. It's time to see the full picture.