The e-commerce scenario requires the following optimized settings:
I. Basic configuration
- Naming the robot with a promotion-oriented name such as "Shopping Assistant".
- Set the default welcome message to include a limited-time offer (e.g., "20% off your first order for new users").
II. Advanced Strategies
- Intelligent Recommendation Engine
- Real-time product recommendations based on user browsing history ("There is a trade-in program for the XX cell phone you just looked at.")
- Setting up abandonment salvage phrases ("Shopping cart items expire in 3 hours, check out now for free shipping")
- Promotional jargon library
- Upload historical marketing campaign documents
- Training to recognize keywords such as "discount" and "coupon".
- seamless integration of labor
- Automatic transfer to manual when complex issues such as refunds are involved
- Gathering the background of user issues in advance improves handover efficiency
III. Closing the data loop
Monitor through analytics tools:
- High-frequency commodity advisory questions (reflecting barriers to purchase)
- Optimal referral times (e.g., 20-22pm high conversion rate 351 TP3T)
- The Most Effective Promotional Talking Points Template
A digital store's real test showed that the optimized BotBrain increased the add-on rate by 281 TP3T and the customer unit price by 191 TP3T.
This answer comes from the articleBotBrain: AI chatbot customer service for websitesThe
May not be reproduced without permission:AI productivity tools " When deploying BotBrain on an e-commerce site, how can I set it up to maximize sales conversions?
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