How Pixel Theory’s Post-Click Team Delivered Nearly $12M in Incremental Revenue in 10 Weeks…

📈 The Results

The redesigned buy boxes went live in early November. From November 24 through January 31 (69 days), we tracked two phases of impact: the BFCM surge and the post-holiday sustained lift. Together, they generated nearly $12M in incremental revenue from three page redesigns.

1️⃣ BFCM Peak (Nov 24 – Dec 8, 14 days)

Product	CVR Increase	Additional Orders	Incremental Revenue
Hume Pod	+16.4%	11,142	$2,175,613
Hume Band	+19.73%	3,492	$803,166
Total	—	14,634	$2,978,779 ✅

2️⃣ Post-BFCM Through January (Dec 9 – Jan 31, 55 days)

Metric	Projected Result
Additional Orders	42,390
Incremental Revenue	$8,728,290 🔥
Avg Revenue per Order	~$205.90

3️⃣ Combined

Period	Duration	Incremental Orders	Incremental Revenue
BFCM Peak	14 days	14,634	$2,978,779
Post-BFCM	55 days	42,390	$8,728,290
Combined Total	69 days	57,024	$11,707,069 🚀

♟️ How Did We Manage This?

Our Research-First Approach

We started with depth, not speed. Week one was spent analyzing nearly 2,000 Pod customer surveys, almost 1,000 Band surveys, and over 1,600 live user insights, extracting the exact problems, emotions, and friction points that were costing Hume conversions:

• For the Pod: People were plateauing hard. Weight wasn’t moving despite discipline, and they needed proof beyond the scale that fat was dropping and muscle was building. Main barrier? Skepticism that it was “just another smart scale” and unclear if it justified the premium price.
• For the Band: Customers weren’t looking for another fitness tracker. They were exhausted from “doing everything right” without seeing results. They wanted to eliminate guesswork about recovery, energy, and whether their effort actually mattered. The big friction? Price skepticism and doubt about whether the data would be accurate enough to trust.

Prioritizing The Right Experiments

From those insights, we didn’t build 15 tests. We identified the highest-leverage experiments: recreating buy box sections (including product hero galleries) for their conversion pages. We rebuilt these sections around credibility (science-backed accuracy claims), clarity (showing what’s really changing in your body), and proof of progress (data that validates effort).

Then we got surgical. We excluded traffic segments that diluted results (like influencer traffic) and optimized in real time to ensure maximum revenue capture from the segments that mattered most.

Early November: new buy boxes launched and live before the traffic surge.

🤔 What Can We Learn From This?

That the difference between a good Q4 and a transformational one isn’t more traffic or deeper discounts. It’s knowing exactly what’s stopping your visitors from buying, fixing those specific barriers before your biggest sales period hits, and being ruthless about optimizing for the traffic that actually converts.

Most brands enter peak season hoping their existing pages will handle the surge. We proved that 7 weeks of strategic work, grounded in thousands of customer voices, can generate an extra $11.7M over 69 days. The research tells you what to build. The timing multiplies the impact. The real-time optimization ensures you’re not wasting conversions on traffic that doesn’t matter.

The question isn’t whether you can afford to do this. It’s whether you can afford not to. Because while your competitors are running the same promotions to the same pages, you could be converting at rates 16-20% higher across your entire peak window.

👉 What’s sitting in your customer feedback right now that could unlock your next eight-figure quarter? Book a brainstorm with us here

Appendices

Appendix A: Orders & Sales (Nov 24 - Dec 8)

Appendix B: Experiment 001 Results: /pages/pdp3

Appendix C: Experiment 002 Results: /pages/hume-body-pod

Appendix D: Experiment 003 Results: /pages/hume-band