More orders. Less manual work. Same WhatsApp number.
D2C brands spend 3–4 hours daily managing WhatsApp manually. Order updates, abandoned carts, support queries — all handled one by one. Waaru automates all of it.
No credit card. No commitment.
Where time is lost today.
- Abandoned cart messages are sent manually — hours late, with no personalisation.
- Order status updates are copy-pasted from Shopify into WhatsApp by staff, one at a time.
- Customer support queries (where is my order? wrong size?) pile up on WhatsApp unmanaged.
- Post-purchase review requests are sent only when staff remember — review volume is inconsistent.
- Loyalty campaigns require exporting contacts to a third-party tool and reimporting, losing data.
3–5% abandoned cart recovery is typical within the first 30 days of deploying the cart recovery flow.
For a brand with 60% cart abandonment rate, a 5% recovery rate via WhatsApp typically generates 30–50x return on the platform cost in the first month alone.
Flows you can deploy today.
Abandoned cart recovery
Shopify webhook triggers when a cart is abandoned. Waaru sends a personalised WhatsApp message within 30 minutes — product name, image, and one-tap checkout link. A follow-up is sent at 24 hours if no purchase.
Order status automation
Confirmed, shipped, out-for-delivery, and delivered updates are sent automatically via WhatsApp as your Shopify order status changes. Staff no longer manually send updates.
Product catalog discovery
Customers who message 'catalog' or 'products' receive a WhatsApp native product catalog where they can browse, select, and add to cart — without leaving WhatsApp.
Post-purchase review request
5 days after delivery, send a personalised review request with the product name and a direct Google or Trustpilot link. Review volume from this alone typically doubles within 30 days.
Loyalty and re-engagement campaigns
Segment customers by last purchase date, order value, or product category. Send targeted promotions to customers who haven't purchased in 60 days. Personalised at scale.