Project description
We have a landing page that has been running paid traffic for a while, but the conversion rate into leads has been flat for the last few months. Before rebuilding the page from scratch, we want to test a hypothesis properly: does reworking the hero section and the call-to-action copy actually change visitor behavior, or is the current layout close to optimal already.
A second version of the page is mostly ready, and what we need help with is the technical side of running the experiment: splitting incoming traffic evenly and randomly between the two versions, setting up tracking for the goals that matter, such as form submission or click-through to checkout, and making sure the numbers are accurate, with no double-counted visits and no distortion from caching or bot traffic. The test should run until the result reaches statistical significance, not just for an arbitrary week chosen at random.
At the end we need a clear report explaining which version won, by how much the conversion rate changed, how confident we can be in that result, and what to do next: keep the winning version, test another hypothesis, or refine the page further.
What matters most:
— even, randomized traffic distribution between the two versions
— correctly configured goals and event tracking
— proper statistical significance calculation, not a guess
— a final report with a concrete recommendation
Happy to share access to the current site and ad accounts, and to discuss timeline and budget once we hear from candidates.
A second version of the page is mostly ready, and what we need help with is the technical side of running the experiment: splitting incoming traffic evenly and randomly between the two versions, setting up tracking for the goals that matter, such as form submission or click-through to checkout, and making sure the numbers are accurate, with no double-counted visits and no distortion from caching or bot traffic. The test should run until the result reaches statistical significance, not just for an arbitrary week chosen at random.
At the end we need a clear report explaining which version won, by how much the conversion rate changed, how confident we can be in that result, and what to do next: keep the winning version, test another hypothesis, or refine the page further.
What matters most:
— even, randomized traffic distribution between the two versions
— correctly configured goals and event tracking
— proper statistical significance calculation, not a guess
— a final report with a concrete recommendation
Happy to share access to the current site and ad accounts, and to discuss timeline and budget once we hear from candidates.
Advertising and marketing Cash, Bank transfer
