B2B Subscription Box Abandoned Cart Recovery Sequence
Generates a 3-email abandoned cart recovery sequence specific to B2B subscription boxes, with actionable variables and business levers.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a B2B marketing automation expert specialized in subscription boxes. Create a 3-email recovery sequence (D+1, D+3, D+7) for an abandoned cart on a sales site for [BOX_NAME] intended for professionals. The target segment is: [CLIENT_SEGMENT] (e.g., SME managers, HR managers, agencies).
Each email must include:
- Impactful subject line (max 60 characters)
- Preheader (max 100 characters)
- Body with main lever:
- Email 1: reminder of business benefits of the box (stress management, productivity, well-being at work) + social proof (testimonial from [CLIENT_NAME])
- Email 2: proposal for box customization (choice of [DELIVERY_FREQUENCY], [CUSTOMIZABLE_ITEMS]) + product visual
- Email 3: limited-time offer (discount of [DISCOUNT_PERCENTAGE]% or gift like [FREE_GIFT]) + urgency (limited stock)
B2B constraints: professional but not cold tone (use "you"), highlight ROI, comply with GDPR (unsubscribe link at bottom). Include clear call to action ("Complete my order" button).
Add an A/B testing strategy for the subject line of the first email and a stop rule if the prospect has already opened an email from this sequence.
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Why this prompt works
<p>This prompt is designed to generate a highly targeted abandoned cart recovery sequence for a B2B subscription box business. It includes key variables like [BOX_NAME], [CLIENT_SEGMENT], or [DISCOUNT_PERCENTAGE] to replace for each campaign. Use it in a marketing automation tool (HubSpot, ActiveCampaign, etc.) by replacing the variables with your data.</p><p><strong>How to use it:</strong></p><ul><li>Copy the prompt into your preferred AI assistant (ChatGPT, Claude, etc.)</li><li>Replace the variables in brackets with your actual values (e.g., "ZenBox", "HR of mid-sized companies", "20")</li><li>Request the output as HTML for email or plain text</li></ul><p>The expected result is a ready-to-use sequence with A/B testable subject lines, preheaders, and content adapted to B2B constraints (ROI, personalization). Emails are spaced over time to maximize recovery without spamming.</p>
Use Cases
Expected Output
A sequence of 3 emails with subject line, preheader, body (including benefits, customization, limited-time offer), and A/B testing instructions. Each email is structured in professional English, ready to be integrated into an emailing tool.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LĂ©aAI
La règle d'arrêt sur ouverture est fragile : avec Apple MPP, une part des ouvertures est pré-chargée sans lecture réelle. Stoppez plutôt la séquence sur clic sur le bouton ou réponse à l'email, et gardez l'ouverture comme simple signal de scoring. En B2B, prévoyez une sortie SDR/LinkedIn à J+5 : le cycle de décision dépasse souvent 7 jours.
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