Marketing · Klaviyo data quality for AIKlaviyo predicts the next order. From the orders it actually received.
For e-commerce, Klaviyo doubles as a marketing platform and a customer store, so its profiles and events tend to become the training data for churn, lifetime value and next-purchase models. That only works if identity holds together and events are complete. We compare Klaviyo exports with your store, ERP and support data to show where the history has holes.
Starts with a 30-minute call. Commits you to nothing. Then exports only: no login, no connected app, nothing installed.
Source of truth
What Klaviyo gets right.
Every system is built to be right about something. Knowing what Klaviyo owns, and what it doesn’t, is where a cross-system check starts, and where the Truth Score™ (a score out of 100 for how far your data can be trusted) begins to take shape.
- 01
Shopper behaviour
Viewed Product, Added to Cart, Started Checkout, Placed Order.
- 02
Consent by channel
Email and SMS subscription and suppression.
- 03
Predicted metrics
Klaviyo’s own lifetime value and churn estimates, where shown.
Orders and revenue. The store platform and finance hold the order of record, including refunds and cancellations that may never reach Klaviyo.
Inside the system
Common Klaviyo data problems for AI.
What goes wrong inside Klaviyo itself, with the objects and fields where it shows. Each one is checkable from an export.
- 01
Fragmented profiles
The same shopper under separate email, SMS and web identities that never merged.
emailphone_numberexternal_id$id - 02
Holes in the event stream
A broken store integration or tracking change stops key events, leaving gaps the model reads as behaviour.
Placed OrderViewed ProductAdded to CartOrdered Product - 03
Property naming drift
Custom and event properties accumulate under overlapping names, so the same attribute means different things.
custom propertiesevent properties - 04
Consent and suppression conflicts
Email and SMS state disagree, or suppressed profiles still carry activity.
email consentsms consentsuppression - 05
Anonymous profiles never resolved
Web activity never tied to a person inflates counts without behavioural depth.
profile createdidentified status
Between systems
Klaviyo looks clean on its own. The gaps are next door.
The problems that sink AI sit between Klaviyo and the systems beside it: the same customer, person or transaction recorded differently in each. These are the gaps to test for each pairing.
Marketing
Klaviyo
Source of truth forShopper behaviourConsent by channelPredicted metrics
Klaviyo ↔ Store and ERP
E-commerce platformNetSuite
- Orders in the store missing from events
- Refunds Klaviyo never heard about
What to export
What we need from you, in plain English.
Lists, segments and metric data export to CSV from Klaviyo; the store order export comes from your e-commerce platform. We compare the two. No Klaviyo account or API key needed.
- Exports only, no access to your systems
- NDA and data processing agreement first
- The full list of sub-processors comes with our data processing agreement, before any data moves
- Raw exports deleted after the engagement; we keep quality metrics, not your records
AI that depends on it
AI use cases that lean on Klaviyo.
If one of these is in a proposal or your plan, Klaviyo is one of the systems we compare. Each page sets out what the use case needs and where it breaks.
- Revenue Personalisation Product recommendations and flows rely on complete events and one profile per shopper.
- Revenue Customer churn prediction Repeat purchase models read gaps in events as customers lapsing.
- Operations Demand forecasting Event data can serve as a demand signal, and must match the order of record.
How a Truth Score Read tests Klaviyo
From your exports to a signed verdict.
Within 5 working days of complete exports. A fixed fee, agreed before we start, that never moves with the verdict.
- 01
Export Klaviyo, and one system beside it
The Klaviyo exports listed above, plus at least one neighbour, such as store and ERP. Under NDA, using the field list we send.
- 02
Match across systems
Our engine matches each profile and its related records across the exports by ID, name, email and domain, including the ones spelt differently in each system.
- 03
Check by hand, then score
Every red flag is checked by hand against sample records before sign-off. Then the Truth Score: each pillar shows what was measured and what wasn’t, and pillars with too little signal are marked, never guessed.
- 04
Get the verdict in writing
A signed memo: the red flags between Klaviyo and the other systems, a Leverability read on the AI you’re considering (which AI ideas you can use now, after fixes, or not at all), a verdict (sign, fix first or walk away) and a short fix list your own team can work from.
What you get back
See what comes back: a real sample memo.
One fictional B2B software company, Example Co: 72,837 records in 7 exports from its CRM, finance and HR systems, run through the same engine and the same checks as a paid Truth Score Read. Each system passes its own checks. Matched across systems, only 13% of deals tie to an invoice.
Questions
Klaviyo and AI, answered plainly.
Anything else, ask on the 30-minute call. It commits you to nothing.
Book the callWhy compare Klaviyo with our store export?
Because Klaviyo’s order history is a copy of the store’s. Missing events during outages, and refunds that never sync, only show when you match the two.
Should we trust Klaviyo’s predicted lifetime value?
It is only as good as the events beneath it. We test whether those events are complete and whether profiles resolve to one shopper.
Do you need our Klaviyo login?
No. CSV exports of profiles and order metrics, run by your team, under NDA. Nothing connected to the account.
Is consent part of what you check?
Yes, as data: whether email and SMS state agree across profiles and tools. Whether your consent basis is sound is a question for your counsel.
Find out what your Klaviyo data can carry. Before the AI does.
Your Klaviyo export and one other system in. The gaps between them in writing, within 5 working days of complete exports. Starts with a 30-minute call. Commits you to nothing.
Starts with a 30-minute call. Commits you to nothing.