Okendo pada Oliver POS

Okendo connects to WooCommerce through its hosted Okendo Customer Marketing Platform integration. Once linked, Okendo reads WooCommerce orders at order.completed: customer email, customer phone, customer name, and line items so the review request asks about the correct SKUs, order date, and fulfilment status. Okendo uses that data to schedule a post-purchase review request based on the merchant's configured delay.

The integration exposes Okendo's full range of customer-marketing features: attribute-based reviews (fit, size, durability, value — configured per product or product category), photo and video reviews, on-page Q&A, referral programmes, post-purchase surveys, and native two-way sync into Klaviyo so review events flow into Klaviyo flows and customer profiles. Oliver POS doesn't need its own Okendo integration. Sales from the register become standard WooCommerce orders with the customer attached; Okendo picks them up the same way it picks up online orders, and the resulting reviews carry the same attribute data and Klaviyo events as online ones.

Okendo is what premium DTC brands choose when they want review features on par with Shopify — attribute-based review forms that produce data the merchandising team can actually use, native Klaviyo sync that turns every review event into a Flow trigger, and a UGC gallery that doesn't look like a cheap plugin. Brands typically pay for Okendo because the storefront and the review programme are critical for conversions and the team is skilled enough to use the data.

That skill makes the gap from in-store sales especially costly. The brand has built the review programme, configured the attribute prompts, connected Klaviyo flows to review events, and fine-tuned the post-purchase email timing — and then half the customers (or more, for omnichannel brands) pay at the counter and never enter the funnel. The Klaviyo profile shows no purchase history, no attribute data, and no review event, even though the customer just bought a $200 jacket two days ago. Oliver POS on WooCommerce bridges that gap. Every counter sale with a captured email feeds into WooCommerce, Okendo picks it up at order.completed, the configured attribute-based review request goes out after the same delay, and Klaviyo sees the purchase, the review prompt, and any resulting review event — just like an online order.

The cashier rings up the sale on Oliver POS and gets the customer's details at the payment screen — email or phone. Oliver creates the WooCommerce order with line items, taxes, the customer's details, and the created_via=pos meta flag. The order moves through the WooCommerce lifecycle to order.completed.

Okendo's integration reads the order: customer details, line items, and order date. It schedules a review request based on the configured delay (usually 7 to 14 days post-purchase for in-store sales, depending on the category). After the delay, it sends the email or SMS request with the attribute-based review form configured for each product, plus the photo and video upload fields, and any post-purchase survey questions the merchant has added (NPS, fit feedback, packaging satisfaction).

Submitted reviews appear on the WooCommerce product page through Okendo's widget, contribute to the storefront-wide review average and the on-page attribute summary (e.g., "Runs small: 78% of reviewers"), and feed into Okendo's UGC gallery. The review event also syncs to Klaviyo as a custom event on the customer's profile, which can trigger other flows — referral requests, second-purchase reminders, or adding them to a brand-advocate list. Because every Oliver POS order carries the created_via=pos flag and the outlet ID, Okendo's order-meta filtering allows for per-channel and per-outlet review dashboards and attribute summaries.

Okendo on Oliver POS is the right choice for premium DTC-style WooCommerce brands venturing into retail — such as fashion, beauty, performance apparel, home and lifestyle — where attribute-based reviews and Klaviyo-led marketing are already key parts of their strategy. Multi-outlet brands benefit from per-store attribute breakdowns, which can show, for example, if one outlet's customers consistently report a different fit pattern than another's. Brands using Okendo's referral programme can now include their in-store customers in the referral funnel for the first time.