The Scenario
Your data analyst just finished a recency-frequency-monetary model on the customer base. The output is a 2,000-row Google Sheet: email in column A, RFM tier label in column B ("Champions", "At Risk", "Hibernating", and so on), and individual recency, frequency, and monetary scores in columns C, D, and E. You need those tiers and scores to become Klaviyo custom properties so the marketing team can build flows that branch on them — "Champions" get the VIP sequence, "At Risk" get the re-engagement offer.
The bad version:
- Export the 2,000-row sheet to CSV, log into Klaviyo, and discover that bulk profile updates via CSV import only works for a small set of standard fields — custom properties require the API.
- Find a developer to write a script that reads the CSV, looks up each profile by email, and PATCHes the custom properties — watching the rate limiter kick in at row 450 and the script die.
- Wait for the developer to add retry logic, re-run the script, and spend another afternoon watching it run to completion while you do something else.
The model took two weeks to build. Getting the output into Klaviyo is taking an additional two days. The marketing team is waiting.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the RFM scores and calls Klaviyo's profile update endpoint for each row — handling rate limiting and batching automatically.
Update the Klaviyo profile for each email in column A by setting the custom property "rfm_tier" to the value in column B
What You Get
- Each profile in Klaviyo is updated with the rfm_tier property matching the value in column B.
- Profiles that do not exist in Klaviyo surface as skipped rows, logged with the email address and a "NOT FOUND" note.
- Rate limiting is handled automatically — no script deaths at row 450.
What If the Data Is Not Quite Ready
All four custom properties need to be written, not just the tier label
For every row in the "RFM Export" sheet, find the Klaviyo profile by email (column A) and update the custom properties "recency_score", "frequency_score", and "monetary_score" from columns C, D, and E — also update "rfm_tier" from column B
Some emails in the sheet do not exist as Klaviyo profiles yet and need to be created
For every row in this sheet, update the Klaviyo profile for the email in column A with the RFM tier from column B — if a profile does not exist, create it with the email and the rfm_tier property, then write "UPDATED" or "CREATED" into column F
The tier labels need to be standardized before writing
Before updating Klaviyo profiles, normalize the tier labels in column B: if a value contains "at risk" (case-insensitive), standardize it to "At Risk"; if it contains "champion", standardize it to "Champions" — then update each profile's "rfm_tier" property with the normalized value
Full RFM sync with error logging and summary
For every row in the "RFM Export" sheet, update the Klaviyo profile for the email in column A with rfm_tier (B), recency_score (C), frequency_score (D), and monetary_score (E); write "UPDATED", "CREATED", or "FAILED" plus any error reason into column F; output a summary at the bottom showing how many were updated, created, and failed
The marketing team gets their segment triggers. The analyst gets an audit log. No developer needed.
Try It
Get the 7-day free trial of SheetXAI and open the RFM model output sheet, then ask it to sync the scores and tiers into Klaviyo profiles in one pass. Also check out how to export a Klaviyo segment's profiles to verify the segments are behaving as expected.