Alibaba MOQ Negotiation Message Campaign for Lower Minimums

Send negotiation messages to Alibaba suppliers requesting lower minimum order quantities for testing or small business needs

The Prompt

Open Google Sheet with supplier information at: {{SUPPLIER_SPREADSHEET_URL}} The spreadsheet should contain: - Supplier Name or Store URL - Product Name/URL - Current MOQ (Minimum Order Quantity) - Your Target MOQ - Why You Need Lower MOQ Navigate to Alibaba. For each supplier (up to {{SUPPLIER_COUNT}} suppliers): - Visit supplier's store or product page - Note their current MOQ and pricing - Click "Contact Supplier" or "Chat Now" - Draft negotiation message using {{NEGOTIATION_APPROACH}}: * **Subject:** Clear and professional - "MOQ Discussion for [Product Name]" - "Inquiry About Flexible Ordering for New Partnership" * **Professional Greeting:** - Address supplier respectfully - Reference their company name * **Introduction:** - Brief intro about your business: * Your business type and size * Your target market and customers * Your business growth plans - Example: "I run a growing online boutique in [Country] specializing in [niche]." * **Product Interest:** - Specific product you're interested in - Why their product fits your needs - Quality or features that attracted you * **MOQ Negotiation Request:** - Current MOQ acknowledgment - Your proposed lower MOQ - Reasoning that benefits both parties: * **Testing Market:** "I'd like to start with [X] units to test market demand before placing larger orders." * **New Business:** "As a growing business, I need to start with smaller quantities while building my customer base." * **Product Mix:** "I want to offer variety to customers, so smaller MOQs allow me to carry multiple products." * **Risk Mitigation:** "Starting smaller helps me ensure product quality and customer satisfaction before scaling." * **Long-term Partnership:** "Once I verify the quality and demand, I plan to place regular, larger orders." * **Value Proposition:** - What you offer as a buyer: * Potential for repeat orders * Regular purchasing schedule * Market expansion opportunities * Social media promotion * Positive reviews and referrals * **Flexibility Offers:** - Show willingness to compromise: * "I understand lower MOQ may have higher unit cost, and I'm willing to accept that." * "I'm flexible on delivery timeframe to accommodate production scheduling." * "I can pay higher deposit for smaller first order." * "I'm interested in multiple products from your catalog." * **Specific Proposal:** - Clear numbers: * Current MOQ: [X] units * Requested MOQ: [Y] units * Expected order frequency: [timeframe] * Future order size projections: [Z] units * **Quality Assurance Questions:** - "Can I order samples before committing to MOQ?" - "Do you offer Trade Assurance for first order?" - "What quality control processes do you have?" * **Next Steps:** - Request specific response - Timeline for decision - Offer to discuss on call if needed * **Professional Closing:** - Express genuine interest in partnership - Thank them for consideration - Provide contact information - Reiterate commitment to long-term business - Keep tone: * Professional and respectful * Confident but not demanding * Solution-focused * Partnership-oriented - Send message - Note in spreadsheet that negotiation was initiated Contact {{SUPPLIER_COUNT}} suppliers for MOQ negotiation. Wait 60-120 seconds between messages.

Customize Variables

Example: https://docs.google.com/spreadsheets/d/your-sheet-id

Example: 15

Example: emphasize long-term partnership, focus on market testing, highlight growth potential

How to Use

With FillApp (One-Click)

  1. Install FillApp Chrome extension
  2. Customize the variables above with your values
  3. Click "Run in FillApp" in the sidebar
  4. The prompt will automatically load and execute

With Other AI Browser Agents

  1. Customize the variables above with your values
  2. Click "Copy Prompt" to copy the customized prompt
  3. Open your AI Browser Agent (ChatGPT Atlas, Perplexity Comet, Claude, etc.)
  4. Paste the prompt and execute according to your agent's interface

Note: Functionality may vary depending on your AI agent's capabilities.

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