FURNITURE CUSTOMER RETENTION WORKSHEET
Published by Furn | Revised October 21, 2026
Guide: https://furncmo.com/blog/furniture-customer-retention-strategies

A planning and measurement aid, not an automation schedule or performance benchmark.
Use fictional identifiers here; keep real profiles and service details in approved systems.

1. OUTCOME AND SERVICE
Outcome to improve (resolved issue / useful care interaction / repeat order / referral):
Order, delivery and support responsibilities:
Actual product instructions and source/version:
Missing information to obtain from the supplier or support team:

2. MILESTONE PLAN
For each: actual trigger / purpose / content / channel rules / owner / exit condition.
Order placed or changed:
Delivery coordination:
Care question or service issue:
Eligible customer requests relevant ideas:
Review or referral request:
No fixed timing assumed; account for delays, cancellation, returns and changed preferences.

3. MESSAGE REVIEW
Operational information vs promotional content:
Platform classification, approval and channel requirements verified:
Current marketing eligibility, suppressions and preferences:
No promotional cross-sells inserted to bypass a marketing exclusion:
Open-service-case promotional pause policy:
Compatibility, configuration, stock and items sold separately checked:
Review requests follow the destination's rules; no incentivized Google reviews:
Referral terms and costs kept separate from review requests:
Rights and permission for real customer stories/photos:

4. PROGRAM ECONOMICS
Staff and consultation cost:
Discounts, credits or referral rewards:
Product, fulfillment, returns and administration costs:
Trade-in acceptance and downstream handling verified before any environmental claim:
Revenue basis and observed contribution:
Projected lifetime value labeled separately from observed revenue:

5. COHORT DEFINITION
Acquisition period:
First qualifying-order definition:
Customer deduplication method:
Treatment of tests, cancellations, refunds, replacements and split orders:
Unlinked showroom transactions and other coverage gaps:
Observation window after each customer's first qualifying order:
Data pulled at / revision policy:
Number of qualifying original-cohort customers:
Unique customers with >=1 additional qualifying order within their own window:
Additional qualifying orders (separate count):
Cumulative repeat-purchase rate = unique repeat customers / cohort customers.
Empty cohort: undefined. Missing data: unavailable, not a verified zero.
Compare equal observation windows; incomplete windows stay pending.
Read the vendor report definition before treating its date filter as a fixed follow-up window.

FICTIONAL COHORT EXAMPLE
100 unique customers; every customer has a full 180-day observation window.
Assume reconciled identities and no test, canceled, refunded, replacement or split orders.
14 customers place 18 additional qualifying orders within their own windows.
Cumulative repeat-purchase rate = 14 / 100 = 14%, not 18%.
The 180 days are illustrative, not a recommended furniture repurchase cycle.
A cohort observed for only 60 days has a pending 180-day result.
This is an observed example, not proof of a message's effect or an industry benchmark.

6. EVALUATION
Eligible comparison groups and allocation method:
Outcome, costs, decision rule and observation window set in advance:
Necessary customer support preserved for all groups:
Counts, uncertainty, product mix and acquisition-source differences:
What is observed / attributed / still unknown:
Next decision, owner and review date:

7. AI AND QA
Anonymized task or fictional records used:
Approved product/order facts used for drafting:
Checks for invented status, care instructions, compatibility and customer assumptions:
Test cases: delayed order, cancellation, return, unresolved issue, unsubscribe,
unknown permission, changed preference, duplicate or replacement order:
Human reviewer and approved version: