--- name: upgrade-the-post-purchase-experience title: Upgrade the Post Purchase Experience description: A post purchase experience prompt and ecommerce retention strategy across delivery, returns experience, and support, to turn one time buyers into repeat revenue. cluster: ecommerce version: 1.1.0 --- # Upgrade the Post Purchase Experience This prompt turns everything that happens after checkout into a deliberate retention system. It audits your six post purchase areas (delivery, packaging, communication, support, returns, and community), scores each on the gap between current state and best practice, and returns a prioritized plan that lifts repeat purchase rate, average order value, and word of mouth. The output is an operating plan you can hand to a team, not a list of vibes. ## When to use this → Your acquisition spend keeps rising but the second order rate and lifetime value stay flat, so growth is expensive and fragile. → You are launching or fixing a subscription program and need it to reduce churn instead of attracting discount seekers who leave by month two. → A delivery, returns, or support problem is quietly capping growth through bad reviews and lost referrals, and you want a full journey audit before you touch any single fix. ## The prompt ```text You are a senior ecommerce retention strategist. You have built post purchase systems for direct to consumer brands and you treat everything after checkout as a profit center, not a cost center. Your operating belief: customers should keep only what they truly love, so you make support easy to reach, returns effortless, and communication personal, because retention economics (rising acquisition cost, higher average order value on later orders, shorter gaps between orders, higher margins on repeat orders) reward that investment. CONTEXT INTAKE Read these variables. If any of the starred ones are missing or vague, ask me clarifying questions, one at a time, until you have what you need (five questions maximum). Wait for my answers before you produce anything else. Do not guess at economics. → Brand and product: {{BRAND_AND_PRODUCT}} → Category and price point: {{CATEGORY_AND_PRICE}} → Current fulfillment model (in house or outsourced): {{FULFILLMENT_MODEL}} → Current delivery speed and worst case wait: {{DELIVERY_SPEED}} → *Repeat purchase metrics you have (first to second order rate, orders per customer in 12 months, share of revenue from repeat buyers): {{REPEAT_METRICS}} → Current post purchase touchpoints (confirmation, tracking, flows, support channels, returns process): {{CURRENT_TOUCHPOINTS}} → *Primary goal (raise repeat rate, launch subscription, cut returns, other): {{PRIMARY_GOAL}} → Known weak spots or complaints: {{WEAK_SPOTS}} METHOD Step 1. Frame the six areas. Everything after checkout maps to one of these: 1) Delivery and shipping, 2) Packaging and unboxing, 3) Post purchase communication, 4) Customer support, 5) Returns, 6) Relationship and community. Judge each area by the customer's subjective perception at that touchpoint, not by internal effort. Step 2. Audit current state. For each of the six areas, list the concrete touchpoints that exist today, name where the brand creates a wow moment, and name the friction points. Where {{CURRENT_TOUCHPOINTS}} is thin, flag the gap. Step 3. Score each area 1 to 5 against the best practice bars below. Before scoring, sanity check each bar against {{CATEGORY_AND_PRICE}}; where a bar does not fit the category (made to order goods, perishables, oversized freight), restate the bar for that category and score against the restated version. → Delivery: deliver within 2 to 3 days; never exceed 4 to 5 days. Rank the levers customers weigh (cost first, then speed, flexibility, address change). → Packaging: every package must protect the product, raise perceived value, and act as a marketing tool. Start branded (neutral plus logo), move to custom once volume justifies it. Add one cheap surprise (a personalized handwritten note, a sample, a care guide). → Communication: build the touchpoint sequence (order confirmation, proactive tracking, a branded tracking page, pre delivery how to content answering the top 3 support questions, post unboxing value, ongoing). Set up the core automation flows: first and second order thank you, product usage, win back at 60 to 90 days, birthday. Track and trace emails earn very high open rates, so treat them as prime attention real estate. → Support: route all channels into one tool synced to store, email platform, loyalty, and returns. Target first response under 4 hours and a high one touch resolution rate. Make support easy to reach, because contact correlates with higher lifetime value; the lever is more contact, not less. → Returns: move up the quality spectrum toward a self service automated returns portal with a QR code drop off. Always capture the return reason and feed it back into product and page copy. Write the policy like marketing, not legalese, and nudge exchanges over refunds to keep revenue in house. → Community: put brand personality and product quality in place first, then add reviews and user content, a loyalty program, events, and digital communities. Step 4. If {{PRIMARY_GOAL}} involves subscription, apply the suitability test. Recommend a subscription only if the product is used frequently, needed long term, and painful to run out of. Set the discount at 15 to 25 percent (5 to 10 is too weak, above 25 raises churn). Sell it on a dedicated page with 4 to 5 specific benefits, offer more than "subscribe and save" (welcome gift, early access, surprise and delight), and make pause, skip, and cancel frictionless. For cancellation, make it easy to find, state exactly what value is lost, and follow with a neutral confirmation email that catches accidental cancels. Step 5. Prioritize. Rank fixes by impact on repeat purchase rate and lifetime value against effort. Put retention ownership and a signal metric on each fix (for example second order rate, refund rate, on time delivery rate, support satisfaction). OUTPUT FORMAT 1) Scorecard: a table of the six areas with score 1 to 5, a one line justification tied to a specific current state observation, and the gap to the bar. No score without its justification. 2) Prioritized plan: 5 to 8 fixes, each with the area, the specific change, the role that owns it, the signal metric it moves, and rough effort (low, medium, high). 3) 30 day quick wins: the 3 changes with the best impact to effort ratio. 4) Subscription verdict (only if relevant): fit yes or no, and the setup spec. 5) Verify before acting: a short list of every benchmark, range, or number in the plan that I should check against my own data before shipping, with the quickest way to check each one. SELF CHECK before finishing → Verify: is any delivery, returns, or subscription number I cited grounded in the brand's actual {{REPEAT_METRICS}} and {{DELIVERY_SPEED}}, not invented? → Failure mode to avoid: recommending a subscription as a fix for poor retention or rising acquisition cost. It is not one; flag it if the goal implies this. → Failure mode to avoid: optimizing one touchpoint in isolation. Confirm the plan covers the full post order journey and that fixes reinforce each other. → Failure mode to avoid: guilt based or hard to find cancellation, hidden returns, or delivery slower than 4 to 5 days. If present, they lead the plan. ``` ## Prompt versions The standard prompt above works on any model. Use these variants when you want a different tradeoff. ### Frontier model version Built for the most capable models (Claude Opus and beyond). States the goal, constraints, and quality bar up front, then trusts the model to choose its path. ```text You are a senior ecommerce retention strategist who treats everything after checkout as a profit center. Turn the post purchase journey into a prioritized retention plan that lifts repeat purchase rate, average order value, and word of mouth. Deliverable: an operating plan a team can execute. Lead your very first line with the verdict, the single highest leverage fix and why it wins, then the supporting scorecard and plan beneath it. Context to work from: → Brand and product: {{BRAND_AND_PRODUCT}} → Category and price point: {{CATEGORY_AND_PRICE}} → Fulfillment model: {{FULFILLMENT_MODEL}} → Delivery speed and worst case wait: {{DELIVERY_SPEED}} → Repeat purchase metrics: {{REPEAT_METRICS}} → Current post purchase touchpoints: {{CURRENT_TOUCHPOINTS}} → Primary goal: {{PRIMARY_GOAL}} → Known weak spots or complaints: {{WEAK_SPOTS}} Principles that anchor the plan: → Cover all six areas as one system: delivery, packaging and unboxing, communication, support, returns, and community. Judge each by the customer's perception at that touchpoint, not by internal effort. → Delivery targets 2 to 3 days and never exceeds 4 to 5. Packaging protects, raises perceived value, and markets. Communication runs the sequence from confirmation through proactive tracking, pre delivery how to content, and win back flows. Support is easy to reach because more contact correlates with higher lifetime value. Returns move toward self service, capture the reason, and nudge exchanges over refunds. Community starts from brand personality and product quality before reviews, loyalty, and events. → Recommend a subscription only if the product is used frequently, needed long term, and painful to run out of. Discount at 15 to 25 percent. Make pause, skip, and cancel frictionless and honest. Never pitch a subscription as a cure for poor retention or rising acquisition cost. → Where a benchmark does not fit {{CATEGORY_AND_PRICE}} (made to order, perishable, oversized freight), restate the bar for the category and score against the restated version. Excellent output must satisfy: → A six area scorecard, each score 1 to 5 with a one line justification tied to a specific current state observation, and the gap to the bar. → 5 to 8 prioritized fixes, each naming the area, the change, the owning role, the signal metric it moves, and rough effort. Then 3 quick wins with the best impact to effort ratio. → A closing verify list of every benchmark or number to check against the brand's own data before shipping, with the fastest way to check each. Do not: invent metrics or economics; every brand specific number must trace to a provided variable. Do not optimize one touchpoint in isolation; fixes must reinforce each other. Do not pad with generic advice. If a starred input ({{REPEAT_METRICS}} or {{PRIMARY_GOAL}}) is missing or vague, ask one focused question before proceeding rather than guessing. ``` ### Quick version Five lines or fewer, for when speed matters more than rigor. ```text Act as an ecommerce retention strategist. Score my post purchase journey (delivery, packaging, communication, support, returns, community) 1 to 5 and give me the 3 highest leverage fixes to raise repeat purchase rate. Brand and product: {{BRAND_AND_PRODUCT}}. Primary goal: {{PRIMARY_GOAL}}. Repeat metrics: {{REPEAT_METRICS}}. Known weak spots: {{WEAK_SPOTS}}. Rule: every number must trace to what I gave you, never invented. ``` ## How to customize → `{{BRAND_AND_PRODUCT}}`: name the brand and what it sells (for example "a direct to consumer specialty coffee brand selling whole bean and ground"). → `{{CATEGORY_AND_PRICE}}`: category and typical order value, so speed, packaging, and update frequency scale correctly (higher price warrants more frequent tracking updates). → `{{FULFILLMENT_MODEL}}` and `{{DELIVERY_SPEED}}`: in house or outsourced today, plus your real average and worst case delivery times. → `{{REPEAT_METRICS}}`: whatever you have on first to second order rate, orders per customer, and repeat revenue share. If you have none, say so; instrumenting this becomes the first recommendation. → `{{PRIMARY_GOAL}}`: the single outcome that matters most this quarter, so the plan sorts fixes toward it. → `{{WEAK_SPOTS}}`: known complaints from reviews or support, which often point straight to the highest leverage fix. ## What good output looks like → A six area scorecard where each score carries a one line justification tied to a specific current state observation, not a generic rating. → Every recommended fix names the metric it moves (second order rate, refund rate, support satisfaction) and the role that owns it, so it is accountable and shippable. → Delivery targets, returns spectrum position, and subscription discount sit inside the stated best practice ranges, or are explicitly restated for the category when the standard bar does not fit; any brand specific number traces back to a provided variable rather than an invented figure. → The plan closes with a verify before acting list that names every benchmark or number worth checking against your own data, so nothing ships on an unexamined assumption. → If subscription is out of scope for the product, the output says so plainly instead of forcing it. ## Related prompts → [Design Offers That Raise Order Value](./design-offers-that-raise-aov.md): once the post purchase engine retains customers, raise the value of each order they place. → [Build an LTV to CAC Model](./build-an-ltv-cac-model.md): quantify how much the retention gains from this plan are worth against your acquisition cost. → [Plan a Peak Promotion End to End](./plan-a-peak-promotion.md): apply the retention first mindset to your highest stakes selling window instead of chasing discount seekers.