welcomes new customers with an automatic message
Active automationWelcome automation for new customers in the women's fashion store
Women's Fashion | Bella Che uses automation to welcome new customers with personalized messages.
Summary: Helps welcome new customers in an organized way, keeps your audience informed and engaged from the start, and reduces the team's manual work.
A feature connected to the customer's real workflow.
Women's fashion store focused on dresses, blouses and rompers, targeting women interested in fashion. Greet new customers with an automated message that creates a personalized first contact and strengthens the initial relationship.
When a new customer is identified, the automation automatically sends a welcome message, using tag-based segmentation to avoid generic communication and ensure relevance.
01
welcomes new customers with an automatic message
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reduces manual work
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mantem clientes informados
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avoids generic communication or spam
The project turns conversation into an operational process.
The case shows the objective, resource used, and experience created on WhatsApp, without relying on internal metrics.
Maintain a personalized and efficient initial contact with new customers without overloading the team with manual messages, avoiding generic communication that can push the audience away. Implement a welcome automation that sends personalized messages to new customers, using segmentation to ensure relevance and avoid spam.
WPP Marketing resources used.
This reading comes from the configuration available in WPP Marketing and is displayed publicly, without real sales numbers, messages, or revenue.
Segmentation: use labels to separate audiences and campaigns
How it works for the customer.
The page translates the usage flow into a public-facing, clear narrative that doesn't read like internal documentation.
01
identifies new customers
The company quickly understands where WhatsApp fits into the journey.
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sends automatic welcome message
This step keeps service, sales, campaign or support connected to the conversation history.
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uses tagging segmentation to personalize
This step keeps service, sales, campaign or support connected to the conversation history.
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keeps the initial relationship active
This step keeps service, sales, campaign or support connected to the conversation history.
Next steps for setup.
Segmentation prevents spam and increases relevance
automation reduces the team's manual workload
personalized messages improve initial engagement
Expand the use of segmentation for specific campaigns, such as at‑risk customers, inactive users and top customers, and integrate cart and repurchase messages to increase engagement and loyalty.
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