FURNITURE CUSTOMER SEGMENTATION WORKSHEET Published by Furn | Revised October 21, 2026 Guide: https://furncmo.com/blog/furniture-customer-segmentation Use fictional identifiers here. Keep personal profiles and private service details in your approved platform. This worksheet does not create audiences or send messages. 1. PURPOSE Campaign and owner: Buyer question: Useful difference in message, offer or next step: Approved product facts and actual offer terms: Channel, market and expected frequency: 2. ELIGIBILITY (required before interest rules) Permission source and scope for this marketing purpose/channel: Subscription status checked at: Applicable suppression and deliverability checks: Market/offer eligibility: Unknown or conflicting status handling: Final eligibility recheck before send: Operational/service messages handled separately by: 3. SEGMENT RULE Required signals (AND), with source and date: Alternative signals (OR), explicitly grouped within required eligibility: Entry criteria: Exclusions and business-policy pauses: Exit conditions (changed preference, return, unsubscribe, other): Signal-review date and expiry: Overlapping segment precedence: Deduplication and frequency coordination: Unknown preference fallback (only within permitted purpose): Rule owner and review date: 4. FICTIONAL DINING-LAUNCH QA EXAMPLE Require campaign eligibility AND current declared dining preference AND no promotional exclusions. Among those profiles, verified trade receives the trade version; everyone else receives the consumer version. One version per profile. The open-service-case pause and trade precedence are illustrative business choices. A: Eligible, dining preference, no exclusions -> Dining launch. B: Unsubscribed from this marketing audience, dining preference -> Exclude. C: Eligible, dining preference, verified trade, no exclusions -> Trade version only. D: Eligible, dining preference, open service case -> Pause promotion. E: General-newsletter eligible, dining preference unknown -> No dining launch. A separate general newsletter is possible only if its purpose fits the subscription. F: Marketing permission unknown, dining preference -> Hold for verification. Add cases for your real rules using fictional identifiers: Input / expected route / actual route / reason: Eligibility fails despite trade or interest: Preference changes after initial inclusion: Relevant purchase returned: Suppression arrives before send: Multiple matching segments: All relevant signals unknown: 5. PREVIEW AND APPROVE Included count and comparison to source: Representative included AND excluded records reviewed in approved system: Unexpected count changes investigated: Integration freshness and field mapping checked: Exit and preference-change rehearsal: Message, destination and product facts reviewed: Reviewer and approval date: 6. AI DRAFTING BOUNDARIES Use anonymized rule descriptions and fictional records. Do not infer wealth, household status or trade eligibility from names/appearance/domain. Do not put private profiles or service details into general drafting prompts. Human checks for invented facts, missed exclusions, unsupported offers and false labels: 7. MEASUREMENT Eligible profiles / delivered messages: Qualified action definition, count and denominator: Orders and net revenue; tracking coverage and refund treatment: Complaints and unsubscribes with explicit denominators: Attribution rules and observation window: Comparable test within the same eligible group, allocation and decision rule: Counts and uncertainty (open rate alone is not proof of intent): Decision and next review: