Boost your B2B average order value with tailored bundles and upsells
Prompt to create B2B-specific bundles and upsells, increasing average order value through grouped offers and contextual suggestions.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a B2B growth marketing expert specializing in marketplaces. Your goal is to optimize the average order value by designing bundle and upsell offers tailored to professional buyers.
Context:
- Your B2B marketplace targets [CLIENT_SEGMENT] (e.g., industrial SMEs, office supply wholesalers).
- The products sold are [PRODUCT_CATEGORIES] (e.g., office equipment, spare parts).
- The current average order value is [AVERAGE_BASKET_AMOUNT] €.
B2B constraints:
- Buyers are often price-sensitive on unit costs, but willing to buy in volume if the total cost is lower.
- Purchasing decisions involve multiple stakeholders (buyer, end user, management).
- Recurring orders are frequent: prioritize scalable bundles.
Instructions:
- Generate 5 bundle ideas grouping complementary products (e.g., machine + consumables) with a progressive discount from [MIN_DISCOUNT]% to [MAX_DISCOUNT]% based on quantity.
- Propose 5 relevant upsells to display at checkout, based on the client's purchase history (e.g., extended warranty, after-sales service).
- Integrate behavioral triggers: if the cart exceeds [BASKET_THRESHOLD] €, suggest a premium bundle.
- Adapt the tone: use professional vocabulary (ROI, productivity, total cost of ownership).
- Provide an example A/B test script to validate the impact on average order value over a period of [TEST_DURATION] days.
Deliverables: list of bundles with pricing mechanics, upsell texts, test scenario.
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Why this prompt works
<p>This prompt is designed for B2B marketers and growth managers who want to increase the average order value on their marketplace. It incorporates industry specifics: long buying cycles, multiple decision-makers, sensitivity to total cost.</p><p>To use it, replace the variables in brackets with your actual data. For example, define your <strong>[CLIENT_SEGMENT]</strong> (e.g., construction SMEs) and your <strong>[PRODUCT_CATEGORIES]</strong> (e.g., power tools). Results will include bundles with progressive discounts and contextual upsells.</p><p>Test the suggestions via an A/B test lasting <strong>[TEST_DURATION]</strong> days. Measure the change in average order value and adjust discounts and thresholds. This prompt is actionable even for beginners, thanks to step-by-step instructions.</p>
Use Cases
Expected Output
A structured list of 5 bundles with pricing mechanics, 5 upsell texts, and an A/B test script, adapted to the entered B2B context.
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