Customer support · Production

WhatsApp Chatbots for eCommerce: 19 Use Cases to Personalize Customer Experiences

The problem

eCommerce companies struggle to reach mobile-first customers quickly enough — 75% of online customers expect a response within 5 minutes — while email-based cart recovery and FAQ outreach deliver low engagement, and website chatbots are unreliable on mobile.

Workflow diagram · grounded in source

Customer opts in via WhatsApp

trigger

“instead of a landing page, they will be invited to a WhatsApp conversation that engages them right of the bat, in a familiar environment”

Chatbot handles FAQ and queries

ai_action

“Having a WhatsApp chatbot that can answer all the basic questions will help customers avoid browsing pages and pages of FAQs while also taking the pressure off the customer support team”

Screen and route to live agent

routing

“The FAQ can serve as a screening phase to determine whether the query is basic or serious as well as provide you with key information. The bot can then not only initiate a human takeover but do so by forwarding the query to the right per…”

Live agent resolves complex queries

human_review

“Where your FAQ bot falls short, your live agents can swoop in and save the day”

Post-purchase WhatsApp follow-up

output

“Shortly after your customer receives his or her order, you can use your WhatsApp presence to check in after the purchase. Creating and sending out product-specific check WhatsApp chatbot template messages can take you a long way as far a…”

Detect dissatisfaction and re-route

feedback_loop

“This allows you to react instantly to negative feedback and send the user down an appropriate dialog flow when the bot detects dissatisfaction”

Reported outcome

WhatsApp chatbots allow eCommerce companies to automate customer support, recover abandoned carts, and deliver personalized post-sale engagement in a channel where open rates vastly exceed email, while reducing pressure on live support teams.

Reported metrics

Online customers expecting response within 5 minutes (industry benchmark)75%

Average cart abandonment rate across sectors (2018 industry benchmark)75.6%

Email open rate for cart recovery campaigns (industry benchmark)40%

Email click-through rate from opened cart recovery emails (industry benchmark)21%

Show all 8 reported metrics

online customers expecting response within 5 minutes (industry benchmark)75%

average cart abandonment rate across sectors (2018 industry benchmark)75.6%

email open rate for cart recovery campaigns (industry benchmark)40%

email click-through rate from opened cart recovery emails (industry benchmark)21%

purchase rate from cart recovery email clicks (industry benchmark)50%

global average SMS open rate (2018 industry benchmark)94%

Facebook Messenger campaign open rate (platform benchmark)98%

loyalty programs that are completely inactive (Capgemini benchmark)54%

Reported stack

WhatsApp BusinessWhatsApp Business APILandbot

Source

https://landbot.io/blog/whatsapp-ecommerce-use-cases

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

WhatsApp chatbots allow eCommerce companies to automate customer support, recover abandoned carts, and deliver personalized post-sale engagement in a channel where open rates vastly exceed email, while reducing pressu…

What tools did this team use?

WhatsApp Business, WhatsApp Business API, Landbot.

What results were reported?

Online customers expecting response within 5 minutes (industry benchmark): 75%; Average cart abandonment rate across sectors (2018 industry benchmark): 75.6%; Email open rate for cart recovery campaigns (industry benchmark): 40%; Email click-through rate from opened cart recovery emails (industry benchmark): 21% (source-reported, not independently verified).

How is this customer support AI workflow structured?

Customer opts in via WhatsApp → Chatbot handles FAQ and queries → Screen and route to live agent → Live agent resolves complex queries → Post-purchase WhatsApp follow-up → Detect dissatisfaction and re-route.