See what’s moving your business before your competitors do.
Resultid connects what customers say with your sales and operating data, so companies running thousands of products, locations, and services know what to fix within weeks.
500M+ data points a month · Enterprises operating 34,000+ locations worldwide
Trusted by Fortune 500 enterprises operating 34,000+ locations worldwide.
500M+
data points processed per month
12
business units live at a single OEM
11 brands
4 continents
30 days
to first insight
What changed
Every large company has the same AI now. The ones pulling ahead got it out of headquarters.
BCG’s 2026 study found that about one company in thirteen is getting real value from AI, and those companies have returned more than twice as much to shareholders as everyone else. What separates them is whether the AI reaches the people who run the stores, plants, service desks and product lines, and whether anyone checks that it worked.
One bar in thirteen is highlighted: about one in thirteen companies is getting real value from AI.
7.5%
of companies get real value from AI at scale
BCG, September 2026
2.3x
three-year shareholder return for those companies
BCG, September 2026
80%+
of AI spending now sits outside the IT budget
BCG, 2026
“We spent several million dollars on that PowerPoint. Now we have to go and execute on this.”
Global CX Director · Fortune Global 500 company
What executives have told us on calls
We hear the same problem in every industry, usually in the first ten minutes.
If we took the bottom quartile and just moved it up a quartile, the math says north of $100,000,000 a year in EBITDA. But my concern is where is the engine to keep this alive.
Our locations could go get a 2/10 of a point increase across 1,800 locations tomorrow just by calling some customers. They wouldn’t sell an additional unit.
If I got $1 million to invest in a cleanliness program, is it worth doing? Or am I already at the bare minimum?
We measure this once a year. And I would love to get to the point where we’re tying it to growth, to performance.
It’s like having a race car in your garage and you don’t know how to drive.
Heard across
- Automakers and dealer networks
- Fuel, convenience and restaurants
- Banks and insurers
- Airlines and travel
- Retail
How it compares
Most companies try one of four things first. Each one stops short of the field.
Data platforms, consultancies, customer experience tools and in-house builds each solve part of the problem. None of them gets the fix to the person who can act on it, and checks that it worked.
Platform
Data platforms
Connect and store everything in one place.
- One source of truthgood at
- Every question still needs its own projectstops
- “We don’t need another database.”heard
Advisors
Consultancies
Diagnose one problem in one part of the business.
- Deep subject expertisegood at
- The deck lands and the rollout is left to youstops
- “Several million dollars on that PowerPoint.”heard
Tools
Customer experience tools
Collect what customers say, quickly.
- Fast feedback at scalegood at
- Nobody ties it to sales or gets it to the fieldstops
- “A beautiful CSV file. Nobody uses this.”heard
In-house
Your own IT team
Know your systems better than anyone outside.
- Deep system knowledgegood at
- A long queue and most of a yearstops
- “Our data team told us it would take eight months.”heard
Resultid introduces
Operational Intelligence
Resultid works on the data you already have. It finds what’s driving each number across your products, markets and locations, gets the fix to the person who owns it, and checks whether it moved. Most customers see first findings within weeks.
What it finds
It finds what’s moving your products, markets and programs, as well as your locations.
Sales were up 1.5% on the year, while customer visits fell 2.3%.
Price was carrying the number. We showed which stores and products were losing people, and why.
Large U.S. retailer
Complaints about one product tripled at dozens of locations in the same few months.
When the same complaint appears everywhere at once, it usually started upstream. This one pointed back to the factory.
Global manufacturer
The same loyalty program performed very differently in two regions.
The gap came down to one question cashiers in one region had stopped asking at the register.
Region A
Region B
Large U.S. retailer
Each remodel cost about $888K and showed no lasting sales lift after a year.
Customers praised the new buildings, then went on shopping the way they always had.
Large U.S. retailer
How it works
What happens after you send us your data
Three steps on the data you already have. Most customers see first findings within weeks.
Connect what you already have
Survey and review platforms, care cases, call transcripts, sales, service and loyalty data. 500+ source types so far, and integration is free. You keep your survey tool.
Find what’s driving each number
Resultid learns how your business actually runs: which behaviors, products and markets separate your best results from the rest. Your team reviews what it learns before anything goes out.
Send the fix to whoever owns it
Each owner gets the few things to fix this week, ranked by what they cost, with the customer comments behind each one. Headquarters sees whether last week’s changes moved the number.
The result: every product, location, and service knows what to do next, who owns it, and whether it worked.
- No new data collection
- Products, markets and locations
- First findings in weeks
- Checked against your numbers
Industries
Built for industries where every product, location, and service is a revenue engine.
Universal intelligence. Industry-specific proof.
125% sales lift for dealers with consistent CX execution
3,500+ dealership locations for a top-5 global OEM
Problem
OEMs spend hundreds of millions on dealer incentives tied to NPS scores that can’t tell a 160-unit dealer from a 68-unit dealer.
Solution
Connects dealer feedback to sales, service, and retention, surfacing which behaviors drive purchase at every dealership, every week.
Results at scale
$200M+
Invisible revenue surfaced from data our customers already had.
Not projected. Not modeled. Found in operational signals hiding in plain sight. $107M+ of it at a single Fortune 500 OEM.
125%
Sales liftDealers with consistent execution outsold peers at identical NPS
92%
Activation rateOperators acting on their weekly brief, across 3,500+ locations. 280% of typical targets.
30
Days to first insightNo new data collection. Proof of value from existing data.
300M+
Records at a single OEMAcross 12 business units. One customer, one deployment.
Case study
Fortune 500 Automotive OEM
Challenge
300M+ records across 12 business units. Dealers with identical NPS scores had wildly different sales performance. Nobody could explain why.
Discovery
$107M+ in invisible revenue hiding in the gap between satisfaction scores and operational execution.
Impact
125% sales lift. 92% activation rate. Repeatable at every location, every week.
In their words
“We dropped them 23.6 million records that they’d never seen before. They turned it around in 24 hours, something our data team told us would take eight months.”
Retail · Case study
Recouped 78% of the revenue-linked decline.
Declines of 6% to 11% across underperforming stores reversed to +8.3% and +5.4% once operators acted on what the data showed.
Across industries
Built for operators across automakers, fuel and convenience, restaurants, banking, insurance, airlines and retail.
Security & trust
Already vetted by Fortune 500 security and compliance teams.
GDPR-compliant. Your data is never retained or used to train AI models. AES-256 encryption, and minimal PII: we process name and email only.
Read our security & trust overviewSend us the one number your board keeps asking about.
In 30 days you’ll see what’s moving it, where, and what closing the gap is worth. If there’s nothing there, you’ll know that too.
Day 1: pick the number · Week 1: we connect what you have · Day 30: what it’s worth · Security & trust overview
Your business already has the answers.