How Snype doubled Ooredoo Kuwait's click rate — in two languages
Whilter.AI built a personalised video for every customer — their name, their product, their language — and clicks jumped from 1.2% to 2.5% against control.
Whilter.AI built a personalised video for every customer — their name, their product, their language — and clicks jumped from 1.2% to 2.5% against control.
Personalised video vs a non-personalised control, Ooredoo Kuwait campaign.
Click rate more than doubled on the personalised video.
| Engagement metric | Non-personalised | Personalised video | Uplift |
|---|---|---|---|
| Delivery rate | 84.4% | 94.0% | +11.4% |
| Read rate | 35.2% | 49.5% | +41% |
| Click rate | 1.2% | 2.5% | +114% |
| CTR | 3.4% | 5.1% | +52% |
* Matched head-to-head experiments — before/after measured on the same product line and audience, over the same window.
Ooredoo is a leading telecom group across the Middle East and North Africa; this engagement was with its Kuwait operation. For an iOS device exchange-offer in Kuwait, the goal was to move existing customers to buy on the Ooredoo platform and deepen loyalty — with communication that felt personal, in each customer’s own language.
Four requirements shaped the brief:
Whilter generated hyper-personalised video at scale — each output built for one customer with their name, language and the product they were considering — bilingual in English and Arabic with AI voice cloning, delivered through an async pipeline: a customer list in over SFTP, a per-customer video URL out, ready for Gupshup to run in-app and over WhatsApp.
A video generated for each customer — their name, their language, and the product they were looking at — instead of one message for everyone.
Up to 5,000 personalised outputs, English and Arabic, with AI voice cloning for the dynamic lines.
A customer CSV in over SFTP, a unique per-customer video URL out — ready to drop straight into the campaign.
Whilter produced the personalised video; Gupshup ran the campaign in-app and over WhatsApp.
Name, product image, product name and language mapped against each customer ID.
Up to a 20-second personalised video per customer, EN or AR, voice-cloned.
Whilter returns the customer list with a unique video URL against each ID.
Gupshup executes the campaign across Ooredoo's channels.
Engagement compared head-to-head against a non-personalised baseline.
A video built for one customer beats one built for everyone.
English or Arabic per recipient removed the friction of a foreign-language message.
Delivered in-app and over WhatsApp, not another channel to check.
Personalised, helpful framing lifted read and click without feeling like an ad.
Engagement metrics are from the Ooredoo Kuwait campaign, comparing personalised video against a non-personalised control: delivery, read, click and click-through rate. Whilter generated the hyper-personalised video (name, product, language, English/Arabic, AI voice cloning); Gupshup delivered the campaign in-app and over WhatsApp. Sample size and exact campaign window are being confirmed. This is the Whilter × Gupshup engagement for Ooredoo Kuwait — distinct from Ooredoo Qatar's separately-reported AI initiatives.
+114% click rate · +52% CTR · +41% read rate. Delivered with Snype. See the full breakdown above.
Engagement metrics are from the Ooredoo Kuwait campaign, comparing personalised video against a non-personalised control: delivery, read, click and click-through rate. Whilter generated the hyper-personalised video (name, product, language, English/Arabic, AI voice cloning); Gupshup delivered the campaign in-app and over WhatsApp. Sample size and exact campaign window are being confirmed. This is the Whilter × Gupshup engagement for Ooredoo Kuwait — distinct from Ooredoo Qatar's separately-reported AI initiatives.
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