Retail & consumer goods
Basket, loyalty and supply data reasoned over together, inside the tenancy that already holds it.
SolutionsConsumer
Your customer data is the moat. Don’t hand it over.
Retail, telecom and media hold behavioural data on entire populations. Sending it to a model that also serves your competitors trades a durable advantage for a quarterly convenience, and you answer to the regulator either way.
eu-west0
us-east0
apac0
profiles reasoned over0
Each region answered where it is stored. Residency satisfied by deployment.no profile crossed a region0 B out
Across the product
Built for the scale consumer teams run at.
Telecom & media
Network, billing and engagement records at population scale, without exporting a single subscriber.
In the product org
Millions of customers, one honest answer.
The signal that explains churn, or margin, or a campaign that underperformed is usually already in the warehouse. The difficulty is that it is spread across systems describing the same customer five different ways, so every question turns into a reconciliation project before it becomes an answer.
- Retention and churn. Behavioural signals correlated across billing, support and usage to find why customers actually leave, rather than why last quarter’s deck said they did.
- Commercial performance. Campaign, pricing and margin questions answered against the real book rather than a sampled extract that was current a fortnight ago.
- Service operations. Support queues and network events summarised for the teams who have to act on them today, in time for it to matter.
Customer 360 · Retention · Cohort 22IN TENANCY
Churn drivers across 2.4M subscribers
- Profiles
- 2.4M
- Residency
- EU-West
- Updated
- Just now
Signals
Behavioural data joined across billing, support and network usage for the full base, not a sample.
Findings
- Billing friction precedes cancellation in the largest cohort
- Two support-queue patterns predict churn 30 days out
- Segment identified and sized for retention spend
No customer record left the tenancy0 B egress
Why it holds at scale
Residency you can point at, not a clause you rely on.
Data-protection regulators are unmoved by contractual assurances about where personal data ends up. PFLabs answers the question physically: the data is wherever you installed it, and there is nowhere else for it to be.
Retail & Telecom: Population-Scale Data
Challenge
Retail, telecom and media hold behavioural data on entire populations. Sending it to a model that also serves your competitors trades a durable advantage for a quarterly convenience, and you answer to the regulator either way.
Solution
Regional deployments keep each market’s customer data in that market. What you learn about your customers stays yours, and none of it improves a model your competitor can subscribe to next quarter.
Why it holds at scale
Residency you can point at, not a clause you rely on.
Data-protection regulators are unmoved by contractual assurances about where personal data ends up. PFLabs answers the question physically: the data is wherever you installed it, and there is nowhere else for it to be.
Residency by deployment
Regional deployments keep each market’s customer data in that market, so residency obligations are met by where you installed the software rather than by a clause somebody has to police.
Never becomes training data
What you learn about your customers stays yours. None of it improves a model your competitor can subscribe to next quarter.
Consent travels with the record
The access and consent rules your customer systems already enforce are the rules PFLabs answers under, customer by customer.
The scaling and deployment model is set out on the Platform page.
Own your intelligence.
Bring the churn question your warehouse has never answered cleanly.