Text version of this lessonExpand
Support should not start after complaints arrive. Before launch, define response time, delay handling, refund boundary, damage/reship rules, review collection, and escalation path.
The previous lesson leaves a launch regression evidence board: a named buyer path, evidence location, Go / Soft launch / Hold / No-go decision, pause action, retest action, and the first support-facing gap.
It tells you where a test path is blocked, but it does not prove that a real customer contacted support, an SLA ran, a refund or reship occurred, or that carrier performance, duties, payment settlement, or launch outcome is real. Now turn that gap into a next step a buyer can receive instead of treating a QA card as ready support.
This lesson leaves a support SLA and post-purchase routing table: first-response and next-update timing, first evidence, escalation trigger, write-back location, and automation state; it is still not actual support performance, customer satisfaction, or launch approval.
Separate post-purchase work into SLA and routing
Many new stores leave only an email address, with no response time, templates, refund rules, or escalation conditions. Support then becomes a chargeback and bad-review path.
This lesson separates support into pre-sale questions, shipping exceptions, refunds/returns, damage or wrong item, reviews, repeat purchase, and escalation.
Decision lens for this lesson
- SLA: The internal promise for first response, progress update, and escalation timing.
- Support routing: Which workflow and handling path each problem type should enter.
- Escalation condition: When frontline support must hand the case to operations, founder, or supply chain.
Lesson output: support SLA and post-purchase routing table. Use this output to decide whether the lesson is truly complete.
How this connects: support routing must enter fulfillment, policy, and system records
Support is not a post-launch patch. Refund boundaries, shipping exceptions, review triggers, email reminders, and escalation roles should all have a system record.
- Fulfillment route: shipping and fulfillment setup to turn delays, lost parcels, stalled tracking, and reship boundaries into fulfillment promises.
- System route: system integration to confirm support, orders, email, tracking, and permissions reconcile.
- Policy route: policies and compliance pages to write frequent support questions back into refund, shipping, and contact language.
Lesson output: support SLA and post-purchase routing table
Turn support from reactive replies into a post-purchase system with timing, evidence, and escalation paths.
| Issue type | Frontline action | Escalation condition |
|---|---|---|
| Shipping delay | Confirm order status, expected timing, and next update time | Promise window is missed or user sentiment escalates |
| Damaged or wrong item | Collect photos, order number, packaging, and SKU details | Replacement, refund, or supply-chain review is needed |
| Refund or chargeback risk | Explain policy window, conditions, and handling time | User threatens chargeback or evidence is insufficient |
Define support timing, order proof, and product identity first
Post-purchase work is not only the chat window. Beginners first need to know what timely response means, where order proof lives, and which product identity traces wrong-item or damage cases. Feed, SKU, and GTIN appear here only to show where the issue writes back, not to turn this lesson into a feed operations lesson.
SLA: the internal timing promise for first response, progress update, escalation, and refund review. It appears in auto replies, ticket notes, refund policy, shipping-exception snippets, and weekly review sheets. Without it, support often says "we will handle it soon" but the customer still has no next timing.
Feed: the product-data stream that sends title, image, price, inventory, SKU, GTIN, and other product facts to Merchant Center, ad platforms, or store systems. When feed inventory, color, or image data is wrong, support receives cases such as "I ordered black and got white" or "the page says in stock but it cannot ship."
Merchant Center: the Google surface for product data, product review, and Shopping or Performance Max eligibility. It is not a support tool, but when price, inventory, image, or product status differs from Shopify, support can receive complaints such as "the ad says in stock but the store does not" or "the price is different."
SKU: the store-owned identifier for a product or variant. It separates color, size, bundle, warehouse picking, and support records. Warehouse teams use SKU for picking, while support uses SKU to diagnose wrong items, damage, batch clues, and repeated issues.
GTIN: a global trade item number, often represented as a UPC or EAN barcode. It helps Google, marketplaces, and inventory systems identify the exact product. When GTIN is missing or wrong, the product can fail review, match the wrong item, and make wrong-item or batch support cases harder to trace.
For example, if a black 20oz tumbler variant is out of stock while the feed still says available, support should not only close the ticket. The issue should write back to inventory sync, SKU naming, the product page, and QA sampling.
What this system is, why it matters, and how to run it
What this system is: customer service and post-purchase operations are not just a support inbox. They are the workflow that routes customer problems, collects evidence, sets timing, assigns responsibility, and writes the learning back into product pages, shipping promises, product data, and lifecycle messages.
Why it matters: early support cases often reveal the real operating problem before dashboards do. A delay complaint can expose a shipping promise gap. A wrong-item case can expose SKU naming or warehouse picking errors. A low review can expose a product-page promise that does not match the customer experience.
How to run it: start with six routes: pre-purchase questions, shipping delay, refund or return, damage or wrong item, chargeback risk, and review or repeat purchase. For each route, write the first-response time, first evidence, frontline boundary, escalation trigger, and write-back location. Then review high-frequency cases each week and update FAQ, Shipping Policy, feed sync, SKU naming, product pages, and lifecycle email timing.
Support Case Routing practice: route first, then decide refund, reship, or escalation
Real support messages rarely arrive in neat categories. A buyer can be angry, ask for a refund, mention shipping, send photos, and threaten a dispute in the same message. The first job is not to pay immediately or paste policy. Route the case, collect the first proof, assign the handling path, set escalation timing, and decide where the lesson should write back.
| Customer message | Risky route | Correct route | First evidence | Write-back |
|---|---|---|---|---|
| Tracking has not moved for five days and the buyer doubts shipment | Only paste the tracking link or ask the buyer to wait | Shipping exception: check last scan, promise window, carrier state, and next update time | Order number, last tracking scan, Shipping Policy promise window, carrier check record | Shipping Policy, shipping notification, delay-case snippet |
| Buyer sends damage photos and asks what will happen | Ask for a return first, or argue whether shipping caused the damage | Damage/wrong item: collect complete proof, then decide reship, partial refund, return/refund, or supply-chain review | Damage photo, outer-box photo, SKU, batch clue, reship/refund amount and handling time | Packaging rules, supplier review, product-page material or size notes |
| Buyer ordered black and received white, and does not want to wait | Treat it as a preference return and ask the buyer to pay return cost | Wrong-item handling: confirm order, picking, stock, and replacement path | Shopify order detail, received-item photo, package label, warehouse pick record, stock status | Warehouse pick rules, SKU naming, variant images, and QA sampling |
| Buyer says they will dispute with the bank if it is not solved today | Leave it in the normal queue, or refund in full only to end the conversation | Chargeback risk: handle same day and preserve order, shipping, policy, communication, refund, and timeline records | Shopify order timeline, tracking, policy page version, support conversation, refund or reship record | Dispute evidence packet, escalation SLA, refund boundary, blocked high-risk wording |
The table is not meant to slow support down. It makes fast replies safer. The buyer needs to know who is responsible, when the next update arrives, and what condition triggers escalation. The team needs to know how to prevent the same case from repeating.
First-order support incident router: do not mix delays, refunds, and low reviews
When the first real order goes wrong, beginners often treat it as a one-off: calm the buyer, pay quickly, or try to remove the review. That looks fast, but it leaves no rule behind. Route the incident first: is this a shipping promise issue, a refund boundary issue, or a review and automation risk? Once the route is clear, the first reply, evidence, resolution path, and write-back location change.
| First-order incident | Do not do this | First reply | First evidence | Resolution path | Write-back location |
|---|---|---|---|---|---|
| Shipping delay: tracking has not moved for four or five days and the buyer doubts shipment | Only send the tracking link or only say please wait | Acknowledge the stalled scan, state the last scan and promise window, check the carrier within 24 hours, and explain the compensation, reship, or refund review after the window is missed | Order number, last tracking scan, Shipping Policy promise window, carrier check record, and next reply time | Inside window: give update time; past window: compensate or reship; confirmed loss: move into refund/reship review | Shipping Policy, shipping email, order-status copy, and delay first-reply snippet |
| Refund request: buyer is unsatisfied, wrong size, or reports a product problem | Refund in full just to save time, or only paste policy and make the buyer interpret it | Separate store fault, shipping damage, wrong item, quality issue, or preference return; ask once for order number, photos, item state, and package state | Order number, refund reason, photos/video, item state, policy window, refund amount, and expected original-payment return timing | Store fault: reship or refund first; preference return: use policy window and item state; insufficient proof: collect proof first | Return policy, product-page size/material notes, refund review table, and support cost review |
| Public low review: one- or two-star review mentions slow shipping, mismatch, slow support, or unclear refund | Focus only on removing or changing the review, or keep sending automated repeat-purchase and review requests | Pause automation for this buyer first; public reply acknowledges the issue and support entry, while private handling checks order proof, shipping, product, support log, and refund state | Review text, order number, product SKU, support log, shipping scan, refund state, and whether the same issue repeats | Single case: repair buyer experience; repeated issue: write back to page, shipping promise, SKU/feed, or QA; high-risk review: human follow-up | Review handling table, product-page trust assets, FAQ, lifecycle-email pause rule, and weekly review |
This table does not make support heavier. It turns the first incident into a system fix. The final copyable lesson notes should include the current incident, first proof, action to pause, resolution path, and next review time.
Post-Purchase Service Script: after routing, write a reply the team can execute
A service script is not copy-paste support. It locks the opening line, evidence request, next timing, what not to say, and write-back location. A usable reply tells the buyer what you saw, what proof is still needed, when the next step happens, and which boundary applies if the case misses the promise window.
| Scenario | Adaptable opening line | Evidence to request once | Next timing | Do not say |
|---|---|---|---|---|
| Shipping delay | I can see your parcel has not updated since the last tracking scan, and I will check the carrier and promised window first. | Order number, last tracking scan, promised delivery window, carrier check record, and next update time. | Give the next update within 24 hours; after the promise window is missed, review compensation, reship, or refund. | Do not only say “please wait,” and do not promise a new delivery date without evidence. |
| Refund or return | I will first confirm whether this is a product issue, shipping issue, or preference return, then give you a clear resolution under the policy. | Order number, refund reason, photos/video, item state, packaging state, whether it was used, and preferred resolution. | Give the review result within one business day after evidence arrives; when refunding, state expected original-payment return timing. | Do not refund in full immediately, and do not only paste policy clauses for the buyer to interpret. |
| Damage or wrong item | We will verify this by order and photos first, without making you explain between warehouse, carrier, and product page. | Outer-box photo, item photo, SKU/variant, package label, order number, missing part, or damaged area. | Give a reship, partial refund, return/refund, or supply-chain review decision within 48 hours. | Do not doubt the buyer first, and do not only ask them to return it before any review. |
| Public low review | We have seen your feedback and will verify shipping, product, and handling records through the order support channel. | Review text, order number, support log, shipping scan, refund state, and whether the issue repeats. | Pause automation for this buyer the same day; verify privately and give the next step within 24 hours. | Do not argue publicly, pressure review changes, threaten removal, or keep sending repeat-purchase discounts. |
| Chargeback risk | I will escalate this order, preserve order, shipping, communication, and refund records, and give you a clear next step today. | Order timeline, payment status, fulfillment status, tracking, policy screenshot, support conversation, and refund or reship record. | Move to human review the same day and give the next step the same day; do not leave high-risk buyers in the normal queue. | Do not threaten the buyer, deny the issue, or let frontline support without authority keep arguing. |
| Review and repeat purchase | If you have used the product for a while, we welcome an honest review; if anything is still wrong, reply here first. | Delivery time, support state, incentive disclosure, last touch time, and whether an open ticket exists. | Send after delivery and a realistic usage window; pause marketing when any issue is unresolved. | Do not trade cash for positive reviews, and do not keep asking for reviews during unresolved refund, delay, or low-review cases. |
| Short email template | Subject | Body | Confirm first | Pause line |
|---|---|---|---|---|
| Shipping delay short email | Update on your order delivery | Hi, we can see your parcel has not updated since {last_scan}. We will check with the carrier and update you before {next_update_time}. If the promised delivery window is missed and tracking still does not recover, we will review compensation, reship, or refund options. | Order number, last scan, promised delivery window, carrier check record, and next update time. | Do not promise a new delivery date before carrier evidence is available. |
| Damage reship short email | About the damaged item you received | Hi, we are sorry the item arrived with an issue. Please reply once with your order number, outer-box photo, damaged-item photo, and SKU or package label. We will confirm before {review_time} whether this should be a reship, partial refund, return/refund, or supply-chain review. | Order number, outer box, item photos, SKU/variant, package label, missing part, or damaged area. | When the same SKU repeats damage, pause review requests and scaling, then review packaging or supplier root cause. |
Put this service reply script into the copyable lesson notes. In the weekly review, do not only ask whether support replied. Check whether these scripts reduced repeated questions and whether they were written back to FAQ, product pages, policy pages, email automation, and system-integration records.
Post-Purchase Flow Board: connect support, refunds, reviews, and repeat purchase into one post-order flow
The service script answers "how should this reply be written." The Post-Purchase Flow Board answers "which system does this case enter next." This is where young stores often break: support closes one ticket while email automation keeps asking for a review; a refund happens but the product page and policy page stay unchanged; shipping delays repeat but never flow back into fulfillment promises or launch QA.
Split the first-order post-purchase path into six steps: order confirmation, tracking live, support case open, refund or reship, review request, and repeat-purchase touch. Each step should name the buyer's real question, support move, system record, action to pause, and write-back location.
| Flow step | Buyer question | Support move | System record | Action to pause |
|---|---|---|---|---|
| Order confirmation | Did the order go through, are address and items correct, and what happens next? | Confirm order number, payment status, product/variant, address, and expected dispatch window. | Shopify order Timeline, order email version, Customer events purchase event. | Do not ship or automate while address, payment capture, or stock is unresolved. |
| Tracking live | Where is the parcel, and when will someone act if tracking stalls? | State last scan, promise window, next update time, and timeout handling boundary. | Tracking page, carrier check record, Shipping Policy version, delay-case snippet. | Do not only send a link and ask the buyer to wait without next timing and timeout boundary. |
| Support case open | Have you seen my issue, what proof is missing, who owns it, and when will I get a result? | Ask once for order number, photos/video, SKU, tracking, policy version, and preferred resolution. | Support thread, ticket ID, order Timeline, policy screenshot, refund review table, or dispute evidence packet. | Do not argue responsibility first or let unauthorized frontline support keep explaining. |
| Refund or reship | What resolution will I receive, and what are amount, timing, return path, and next action? | State resolution, amount, timing, original-payment return expectation, and return requirement by responsibility boundary. | Refund / Return / Exchange record, reship order, inventory deduction, supplier or warehouse feedback. | If the same SKU repeats damage, wrong-item, or refund cases, stop treating it as isolated and pause scaling. |
| Review request | Have I actually used the product, and can you fix unresolved issues before asking for a review? | Check support state before requesting an honest review; disclose incentives when used. | Delivery time, review request log, incentive disclosure, open ticket status, public review handling record. | Pause review requests and repeat-purchase discounts while refund, delay, low review, or damage is unresolved. |
| Repeat-purchase touch | Was this experience smooth, and what is the real reason to buy again? | Segment satisfied, recovered, and high-friction buyers instead of pushing discounts blindly. | Email Flow conditions, Customer tag, last purchased SKU, support state, repeat offer, and profit boundary. | Do not push discounts only for repeat-purchase rate without profit boundary, support state, inventory, and fulfillment capacity. |
Put this board into the copyable lesson notes. The next teammate should not only see "customer replied." They should see which flow step is blocked, which proof is missing, what action must pause, and whether the case should write back to FAQ, policy pages, shipping promises, lifecycle email, or profit review.
Post-Order 7-Day Question Map: build the flow around what buyers ask
Many support workflows read like internal tables, but buyers do not ask by backend module. In the first wave of orders, questions usually follow time: did my order go through, why has it not shipped, why is tracking stuck, can I get a refund or reship, and is it appropriate to ask for a review now. Map these questions from Day 0 to after Day 7, and email, shipping, refunds, reviews, and retention become one connected chain.
| Timing | Buyer question | Weak reply | Support move | Evidence and system touch | Write-back / action to pause |
|---|---|---|---|---|---|
| Day 0: 10 minutes after order | Did my order go through? Are address, item, amount, and expected dispatch time correct? | Only send the system order confirmation email and make the buyer infer everything. | Show order number, product/variant, address, payment status, expected handling time, and support entry in the email. | Shopify order Timeline, order confirmation email version, payment capture state, address completeness, and inventory state. | Repeated questions write back to FAQ and the first screen of order email; before address, payment, risk, or stock is confirmed, do not ship or continue automation. |
| Day 1: before dispatch | Why has it not shipped yet? Is it out of stock, or is the order stuck? | Only say "we will ship soon." | Explain handling time, warehouse cutoff, preorder/out-of-stock exceptions, and next update timing. | Fulfillment status, stock/supplier confirmation, warehouse cutoff rule, and Shipping Policy handling time. | Write back to PDP shipping block and Fulfillment Promise Checker; if handling-time proof is weak, pause "ships today" or "ships in 24 hours." |
| Day 2-3: after tracking appears | Why is tracking available but not moving? When should it update? | Only paste the tracking link and ask the buyer to wait. | Explain last scan, first-scan delay, promise window, next update timing, and the boundary after timeout. | Tracking page, carrier screenshot, Shipping Policy version, and last scan time. | Write back to shipping promise, order status page, and carrier choice; without last scan and next update time, do not promise a new delivery date. |
| Day 4-5: exception starts escalating | Was I scammed? Can I get a refund, reship, or should I keep waiting? | Keep the case in the normal queue, or refund immediately just to calm the buyer. | Move into support-case mode: ask once for order, tracking, photos/video, policy version, and preferred resolution, then give human-review condition and same-day next step. | Support thread, ticket ID, order Timeline, policy screenshot, dispute evidence packet, or refund review table. | Write exception type back to refund/reship rules, support wording guardrails, FAQ, and policy promises; when chargeback threat, high-value order, or repeated same-SKU exception appears, frontline support should not handle it alone. |
| Day 6-7: resolution window | What is the final resolution? What are the amount, timing, return path, and next action? | Only say "handled" with no amount, original-payment timing, reship order, or next instruction. | State reship, partial refund, return/refund, no refund, or supply-chain review by responsibility boundary, and tell the buyer whether any action remains. | Refund / Return / Exchange record, reship order, inventory deduction, and supplier or warehouse feedback. | Write resolution back to policy page, product page, packaging QA, SKU naming, and WBR; when same-SKU exceptions repeat, pause scaling and review requests. |
| After Day 7: before review and retention | Is my experience really resolved? Is it appropriate to ask for a review or send a discount now? | Automatically ask for review or send discount by fixed timing without checking support state. | Segment into satisfied, recovered, and high-friction buyers; satisfied buyers enter review/retention, recovered buyers get experience confirmation first, high-friction buyers pause automation. | Delivery time, open ticket state, refund/reship state, review incentive disclosure, and last touch time. | Write back to review timing, retention segmentation, email pause condition, and product-page trust assets; pause review request and repeat-purchase discount while refund, delay, low review, or damage remains unresolved. |
The value of this 7-day question map is that support no longer only replies to one message. It forces the team to check whether order email, shipping promise, refund boundary, review request, and repeat-purchase touch are one connected chain. The copyable lesson notes should keep the weakest timing, buyer question, first evidence, system touch, write-back location, and pause line.
Why Support Should Exist Before You Scale
Support is not just replying to messages. It affects pre-purchase questions, shipment follow-up, refund handling, review management, and customer emotion.
What the Support Layer Does
- Improves conversion by answering purchase-blocking questions.
- Reduces disputes through consistent post-purchase handling.
- Turns repeated questions into reusable FAQ and templates.
- Supports repeat purchase through better customer experience.
Minimum Customer Support Setup
Baseline Setup
- Working support email or ticket channel
- Product and store FAQ
- Order and shipment email guidance
- Internal refund and reship process
- Clear expected response time
FAQ Is Not Optional
FAQ reduces repeated support load and removes common purchase hesitation before the customer even needs to contact you.
Standardize the Most Common After-Sales Cases
Core after-sales playbook
Response Speed vs Response Quality
Both matter, but for a young store, respond first, resolve next is usually better than staying silent while trying to craft the perfect answer.
Frequent Support Mistakes
- Replying without a timeline or next step.
- Using defensive language that escalates emotion.
- Allowing inconsistent answers across people or channels.
Most Practical Early Approach
- Use reusable templates for common situations.
- Calm the customer first, then explain the rule or solution.
- Always state the next step and expected timing clearly.
Reviews and Repeat Purchase Follow-Up
Post-purchase operations should not only solve problems. They should also generate review assets, trust, and repeat demand.
Execution Advice
You do not need a massive support organization at the beginning. You do need a clean baseline system that can handle the first wave of real customers without chaos.
Your Next Moves
Write down SLA instead of saying we will reply soon
For young stores, the biggest support weakness is often not tone but timing. Customers can tolerate complexity better than silence. Even without a full ticketing system, you should define a minimum SLA so people know when they will receive the first reply and when they should expect resolution.
Minimum SLA recommendation
- First response: for example, within 24 business hours.
- After-sales escalation: define review time for delay, damage, wrong-item, and complex cases.
- Refund processing: explain review timing and expected return-to-original-payment timing.
- Internal escalation: define when frontline support hands the case to operations or founders.
Do not treat every refund request the same way
A single refund script usually makes the team either too generous or too rigid. A stronger system segments requests first: cancellations before shipping, shipping delays, damage, quality disputes, preference-based returns, and refused parcels. Each category should have a defined boundary before the ticket arrives.
Review collection needs a system, not one email blast
Review operations depend on timing. Ask too early and the customer has not used the product. Ask too late and response rates fall. Reviews are also not just social proof. They should feed product-page trust blocks, FAQ updates, and future creative ideas.
A more usable review loop
After-sales should connect to retention, not only damage control
Many teams treat support and retention as separate systems, so the case is closed once the problem is solved. In practice, satisfied customers are the best candidates for replenishment reminders, bundle offers, usage education, and membership invitations. After-sales is part of growth, not the opposite of growth.
Minimum retention loop
- Satisfied customers move into reviews and repeat-purchase touchpoints.
- Recovered customers get an experience confirmation before any light touch, not an immediate discount push.
- High-friction customers pause review requests, UGC requests, discounts, and upsells; keep human follow-up only.
Official check boundary: notification, return, and review promises need a real system
Official sources last reviewed: 2026-06-29. This lesson is not legal, tax, payment, or platform-policy advice; notification, refund, chargeback, review, and product-data boundaries should follow your market, payment provider, Shopify admin, Google Merchant Center, and necessary professional guidance. Before launch, align support promises with official configurable surfaces. Shopify store notifications documentation explains that order, fulfillment, refund, account, and other events can trigger customer or staff notifications. Shopify returns and exchanges documentation explains that returns, exchanges, refunds, and self-serve returns need to align with order state and return rules. Shopify self-serve returns setup helps confirm the return entry and eligibility conditions. Shopify chargeback handling documentation reminds you to preserve order, shipping, policy, communication, refund, and timeline evidence before a dispute. Shopify Google product data documentation and Google Merchant Center product data spec help verify whether Feed, SKU, GTIN, price, or inventory facts are creating support cases. FTC consumer review rule Q&A also warns marketers to avoid misleading review practices. New-store service should tell customers the next step and pause reviews, UGC, discounts, and upsells while an issue is unresolved.
Official post-purchase check loop
The point is not to save a picture of the admin screen. The point is to let the next teammate return to the same backend surface, see the same record, confirm the same status, and continue the case without relying on memory.
| What to verify | Backend path | Record to keep | Write-back action |
|---|---|---|---|
| Order and refund can be explained | Shopify Admin -> Orders -> target order -> Timeline / Refund | Order number, payment status, fulfillment status, refund amount, refund reason, handler, handling time | Update refund snippets, policy copy, and support SLA |
| Return or exchange has a clear state | Shopify Admin -> Orders -> target order -> Return / Exchange record | Return reason, return window, label state, exchange SKU, final refund or reship result | Fix return policy, size notes, packaging rules, and warehouse flow |
| Customer conversation can be continued from the same record | Support inbox / helpdesk ticket -> customer message thread | Ticket ID, first response time, next update time, snippet used, human-review condition, customer promise | Update FAQ, block risky wording, and clarify frontline boundary |
| Notification or review request is not too early | Shopify Admin -> Settings -> Notifications; review tool -> request log | Notification template version, trigger event, delivery or use window, review request time, incentive disclosure state | Adjust shipment/refund emails, review timing, and repeat-purchase entry |
Copyable lesson notes: make the support route usable by the next person
If support can only say please wait when a parcel is delayed, with no timing, compensation boundary, or escalation rule, the inquiry can become a dispute quickly.
Use these notes as the bridge between support, operations, product data, and retention. The point is not to create a long document. The point is to make the next person able to see what happened, what proof exists, what action is safe this week, and what should stop until evidence is clear. If the same issue repeats three times, do not treat it as three separate customers. Treat it as a product page, fulfillment, feed, SKU, policy, or message problem that needs a visible handling path and a next review time.
Copyable template
- Current pressure: the buyer is asking about shipping, refund, damage, wrong item, chargeback risk, review, or repeat purchase.
- First evidence: order number, tracking, photos, SKU, policy page version, support timeline, ticket ID, and handling record.
- This-week action: write first-response timing, next update time, refund/reship boundary, backend record location, and person handling it.
- Automation status: allowed / paused / human follow-up only; unresolved support pauses review, UGC, discount, and upsell touches.
- Action to pause: without evidence, SLA, or review trigger, do not immediately refund, keep waiting, or run automated marketing.
- Review window: each week, feed frequent cases back into pages, FAQ, feed, SKU naming, shipping promise, and lifecycle messaging.
- Next route: before moving into system integration or lifecycle email setup, bring SLA, templates, refund boundaries, shipping exception rules, review triggers, and human-review condition.
Pass SLA, templates, refund boundary, shipping exception rules, review triggers, and human-review condition into integration and lifecycle email setup.
This static reading version does not depend on browser clipboard access. Select and copy the template above manually. It keeps a support record for review; it is not proof that support has actually performed.