Litehouse

Litehouse

Swipe-led welcome-flow test with immediate commercial proof.

Challenge

Litehouse wanted to prove that a better welcome experience could do more than collect an email. The existing instant-code pattern captured sign-ups, but it did not add context or make the customer warmer before the first visit back to site.

SVYP approach

The test kept the same pop-up, the same 15% offer, and the same traffic. The only change was the welcome email: one version showed the code immediately, while the SVYP version asked customers to swipe through product-relevant statements before unlocking the reward.

What changed

Swiping primed customers on product value before they returned to the store and created a zero-party data layer at the same time. That meant better first-purchase performance now, with cleaner preference signals available for later CRM and ESP use.

Welcome Flow Setup - A/B Test

01. Standard pop-up

Subscribe to get 15% off.

02. Customer enters email

The sign-up mechanic stays exactly the same.

Zero risk of losing email
03. Welcome email triggered

The test changes what happens inside that email only.

A. Standard flow

The welcome email showed the 15% code immediately.

B. SVYP flow

The welcome email invited customers to swipe to unlock or earn the same code.

Performance over 3 months

Over three months, SVYP outperformed Litehouse's standard instant-code welcome flow across every key metric while using the same pop-up, the same 15% offer, and the same traffic.

+42%
More revenue
+23%
More buyers
+29%
Higher click rate
+23%
Conversion rate lift
+16%
Higher AOV
86%
Completion rate
Only around one-third of new sign-ups reached the swiper because they still had to open the welcome email and click through. The uplift came from that smaller subset alone.
OneDayOnly

OneDayOnly

A Black Friday campaign that turned seasonal traffic into declared shopper context.

Objective

OneDayOnly used SVYP during Black Friday to capture declared shopping intent at campaign speed. The aim was not only to drive engagement, but to turn seasonal attention into profiles that could support better segmentation after the event.

What SVYP captured

The campaign collected profile-level signals that go beyond transaction data alone: category interests, deal triggers, discovery patterns, purchase habits, checkout frictions, and how customers relate to the OneDayOnly brand.

What became usable

Those signals turned into a structured declared-data layer. Instead of a broad Black Friday audience, the team could group customers by mindset, motivation, and friction points that can directly shape content, offers, and follow-up logic.

Campaign proof over 5 weeks
R0.00 ad spend

In five weeks, SVYP helped OneDayOnly turn seasonal attention into a declared-data layer that was usable beyond the campaign itself. The result was not just engagement volume, but clearer shopper context, strong opt-in performance, and profiles that could support smarter follow-up after Black Friday.

This campaign ran through Instagram Stories and Facebook posts with zero paid boosting, so the declared-data output came from owned social reach rather than media spend.
Discuss The Fit

Want to review where SVYP can fit in your acquisition or profiling flow?

If you want to talk through rollout fit, welcome-flow testing, or declared-data use in CRM and lifecycle campaigns, use the contact route and we will pick it up from there.

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