Summarize these selected article findings and their source context. This brief is not the full article. Preserve units, populations, dates, assumptions and limitations. Distinguish illustrative calculations, vendor descriptions and measured results. Do not invent omitted information or claim to have read the complete article.

SMS Segmentation: Build an Audience That Knows When to Stop

Selected article findings, not the complete article.

SMS Segmentation: Build an Audience That Knows When to Stop. By Rene, Zobi. Primary documentation checked 28 October 2026.
Decision: Define one useful message audience, keep permission required, write exclusions and contact priority, then test the actual boundary profiles.
Klaviyo documentation: Current SMS marketing eligibility must accompany activity conditions with AND. Events and profile properties define dynamic segments. Timeframes and event definitions need explicit meaning. Smart Sending windows for email and SMS are separate, so one channel's cap does not create a shared contact policy. These are vendor documentation descriptions, not observed merchant results.
Worked audience: 5,000 currently eligible profiles ->800 relevant clickers ->620 without a later purchase ->500 matching the current product/journey ->420 outside the chosen recent-contact rule ->350 without an unresolved support issue. Step losses: 4,200; 180; 120; 80; 70 profiles, respectively. These losses are sequential and disjoint. Final share 350/5,000=7%. These are teaching inputs, not a target or benchmark. Deduplicate overlapping exclusions and check actual current state before sending.
Proposed priority: Current suppression stops the promotion; unresolved support defers to an owner; a purchase ends obsolete recovery; then evaluate current need and contact policy. Give every defer an owner and expiry. No actual integration or automation is claimed.
Health/supplement use: Relevant product, variant, pack size and purchase history can support a replenishment hypothesis. A purchase does not establish diagnosis, usage or treatment need. Test product-specific timing rather than inventing a universal refill window. Use current approved product information and a handoff for unsupported questions.
Boundary cases: eligible match, missing SMS permission, purchase after click, unresolved service case, two qualifying journeys, cutoff timestamp, missing product/time and permission revoked after preview. A pass requires an observed result. A valid count alone cannot approve launch.
Evaluation: Compare messaging policies inside the same eligible population, assign the person once and follow the same outcome window. Segment conversion versus whole-list conversion is not a causal test. Include costs and operating guardrails.
Download: The completed-example segment launch planner has editable counts, boundary checks, a local JSON save/load path and a one-page printable brief. Arithmetic checks do not verify source events or actual eligibility.
Zobi relevance: Zobi’s EQ models are designed to read a shopper’s question in context and choose a relevant reply from merchant-approved information, within the programme parameters the merchant approves.
Concrete next step: Discuss one checkout or repeat-purchase question family, its approved sources, audience stop conditions and reply owner with Zobi. No rates, superiority or lift promised.
Sources:
https://help.klaviyo.com/hc/en-us/articles/360047879512
https://help.klaviyo.com/hc/en-us/articles/115005062847
https://help.klaviyo.com/hc/en-us/articles/115002779311
https://help.klaviyo.com/hc/en-us/articles/360035056972