Webshop A/B Testing Specialist
Budget: $15 – $25 USD
Our Swedish fitness-equipment store, sporttema.se, is ready for a structured series of A/B experiments aimed squarely at lifting our conversion rate. The initial focus will be on two areas that data already shows as high-impact:
• Product pages – I want to trial alternative images and short demo videos, tighten and rewrite product descriptions, refine call-to-action button copy/colour/placement, plus explore layout tweaks or any other on-page variables that could nudge a visitor toward “Add to cart”.
• Checkout flow – We are open to test variations that reduce friction. This may involve trimming steps, rearranging form fields, injecting trust cues, or experimenting with payment-option visibility; whichever hypotheses you believe will move the needle fastest.
Here’s how I picture the collaboration:
1. Audit our current funnel (Matomo already installed).
2. Draft a hypothesis-driven test roadmap with clear success metrics.
3. Build and launch split tests in the tool you prefer—Optimizely, VWO, Google Optimize, or similar—we run in the system you use.
4. Monitor, analyse, and report results, then roll out proven winners.
I’ll give you direct access to staging and production environments and can supply graphics or copy promptly when a variant requires it. Success for me is a statistically significant uplift in completed orders, documented in a concise after-action report I can share with the wider team.
If you thrive on data, move quickly from insight to live test, and enjoy transparent reporting, let’s start planning experiment #1.
• Product pages – I want to trial alternative images and short demo videos, tighten and rewrite product descriptions, refine call-to-action button copy/colour/placement, plus explore layout tweaks or any other on-page variables that could nudge a visitor toward “Add to cart”.
• Checkout flow – We are open to test variations that reduce friction. This may involve trimming steps, rearranging form fields, injecting trust cues, or experimenting with payment-option visibility; whichever hypotheses you believe will move the needle fastest.
Here’s how I picture the collaboration:
1. Audit our current funnel (Matomo already installed).
2. Draft a hypothesis-driven test roadmap with clear success metrics.
3. Build and launch split tests in the tool you prefer—Optimizely, VWO, Google Optimize, or similar—we run in the system you use.
4. Monitor, analyse, and report results, then roll out proven winners.
I’ll give you direct access to staging and production environments and can supply graphics or copy promptly when a variant requires it. Success for me is a statistically significant uplift in completed orders, documented in a concise after-action report I can share with the wider team.
If you thrive on data, move quickly from insight to live test, and enjoy transparent reporting, let’s start planning experiment #1.