cart recovery campaign builder

    2

    Convert abandoned cart data into margin-aware, segmented recovery campaigns and compliant message sequences.

    $5

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    cart recovery campaign builder

    Example session with this skill installed

    Build a recovery campaign for a $150 leather boot cart. Customer is new, reached payment, but stopped. We have email consent. Margin is 40%. Limit incentives to 10%.

    • Read your context and instructions
    • Compiled the cart recovery campaign

    I have analyzed the cart context for the $150 Leather Boots. The primary barrier appears to be high-intent friction (reached payment) rather than product interest.

    Cart Recovery Strategy: Premium Footwear

    SegmentDiagnosisPrimary InterventionIncentive
    New / High IntentFriction/TrustReassurance & Support10% First-Purchase (Backup)

    Fact Base & Assumptions

    • Confirmed: New customer, $150 cart value, email consent available, 40% gross margin.
    • Inference: Abandonment at payment suggests technical error or sudden total-cost sticker shock.
    • Unknown: Shipping costs and exact delivery timelines for the customer's region.

    Campaign Sequence

    1. T+1 Hour (Email): Helpful Reminder. Focus on cart restoration and "Did something go wrong at checkout?"
    2. T+24 Hours (Email): Social Proof & Policy. Highlight return policy (fit guarantee) and 5-star reviews.
    3. T+48 Hours (Email): Final Value. Introduce 10% code if cart remains active.

    Message Draft: T+1 Hour

    • Subject: Need a hand with your order?

    Body: We noticed you were looking at the Leather Boots but didn't quite finish. If you ran into a technical issue or have a question about sizing, just hit reply. Our team is here to help.

    • CTA: [Return to Checkout]
    • Stop Logic: Terminate on purchase or support ticket creation.

    Margin Logic

    • Cart Total: $150.00
    • Cost of Goods (Est): $90.00
    • Max Incentive (10%): $15.00
    • Final Contribution Margin: $45.00 (30% net). This remains above the 25% safety floor.

    Next steps

    • Confirm if free shipping is active to ensure the 10% discount is the only overhead.
    • Verify the 'Return to Checkout' deep-link logic in your ESP.
    • Add the 10% discount code to your ecommerce backend with a 72-hour expiry.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Generic "we missed you" emails fail because they ignore the specific reason a customer left. Sending the wrong incentive to a high-intent buyer erodes margin, while ignoring technical friction leads to permanent churn.

    What it does

    • Diagnoses the likely cause of abandonment based on behavior signals like checkout step reached and payment failures.
    • Segments audiences into high-intent, price-sensitive, or support-needing groups using observable data.
    • Designs multi-step recovery journeys with specific timing, channel selection, and objection-handling logic.
    • Calculates incentive eligibility to protect contribution margins and prevent discount stacking.
    • Validates every message against truthfulness, consent, and frequency caps to ensure compliance.

    Frameworks & tools

    Designed for integration with Klaviyo, Shopify Flow, Attentive, Braze, and custom CRM webhooks.

    Why this beats prompting it yourself

    Standard prompts often generate generic marketing copy that ignores unit economics or legal consent rules. This skill enforces a structured diagnostic workflow that prioritizes margin protection and evidence-based claims over aggressive sales tactics.

    Use cases

    • Recovering high-value carts for first-time buyers who need trust reassurance.
    • Automating technical support outreach for customers experiencing payment failures.
    • Building margin-safe incentive sequences for price-sensitive returning customers.
    • Designing SMS recovery flows that respect quiet hours and specific consent scopes.

    Known limitations

    Requires specific inputs regarding margin floors and consent status to provide high-confidence recommendations. Does not provide legal conclusions.

    Requires specific inputs for margin floors and consent status. Cannot verify external inventory or delivery dates in real-time without provided context. Does not provide legal advice.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    The builder analyzes behavioral signals like the checkout step reached and payment failure logs to categorize customers into high-intent, price-sensitive, or support-needing segments for tailored messaging.

    The skill is optimized for major e-commerce platforms like Klaviyo, Shopify Flow, Attentive, and Braze, and it can also connect to custom CRM systems via webhooks.

    Yes, the skill includes a margin-protection logic that calculates incentive eligibility based on your specific margin floors to prevent discount stacking and protect your bottom line.

    You will receive the core logic framework, pre-configured diagnostic workflows for various abandonment scenarios, and a library of compliant message templates ready for deployment.

    While it generates copy and sequences, the skill is designed to validate all content against truthfulness standards, consent scopes, and frequency caps to ensure your brand stays compliant with messaging regulations.

    New in E-commerce