Stop guessing. Start proving what makes visitors convert.

CRO runs as a monthly retainer covering research, roadmap, design, dev, QA, and reporting — typically landing around two experiments a month. Where it makes sense we start with a fixed-scope conversion audit, then move to a retainer to execute the roadmap. Experimentation tool licensing is usually billed separately from our fee; we'll always tell you upfront whether software is included.

Honestly: month one is research and baseline, with no revenue movement. First statistically significant results land around 45-75 days; the first revenue-moving winner is usually ~90-120 days out, with meaningful compounding over 6-12 months. Anyone promising results in 30 days is either testing tiny changes that don't move revenue or calling flat tests wins.

No — and treat any agency that does as a red flag. Traffic quality, seasonality, and competitors are outside anyone's control. We guarantee rigour, learning velocity, and honest reporting, not a made-up number. A losing test that teaches you something is worth more than a +2% win that teaches nothing.

Senior specialists own the research reading, every hypothesis, the roadmap, and every call on whether a result ships. AI accelerates the grunt work — funnel mining, heatmap and recording sweeps, audits, QA passes, and continuous monitoring — and drafts readouts. Nothing AI produces ships unsupervised.

From research, never from best-practice checklists. We combine quantitative funnel analysis (the what) with qualitative heatmaps, recordings, surveys, and review mining (the why), then score ideas on impact, confidence, and ease. We fix broken things first, optimise high-traffic pages next, and only then innovate new layouts.

Around two well-built, QA'd experiments a month is the sweet spot. One every four-to-six weeks is too slow to compound; three-plus a month usually means rigour is slipping — smaller, safer changes chosen just to hit a velocity number. We optimise for validated decisions per quarter, not test count.

Our developers do. Hand-coded variations avoid the flicker effect and buggy variants that visual-editor drag-and-drop ships, which is a leading cause of false positives. Our QA engineer is engaged from conception, not bolted on at launch. We don't expect your team to implement.

On the final conversion or revenue metric — never an intermediate click — with guardrail metrics to catch hidden harm and segmentation to see who actually moved. We also track test-to-ship ratio, because a winner you never ship is ROI left on the table. We judge the program on rigour and learning, not a headline win rate.

Maybe not with A/B testing, and we'll tell you honestly. A site doing a few hundred visits a month can take months to reach significance on a single test. There we pivot to qualitative CRO — user testing, session recordings, surveys, tree testing, heuristic fixes, and traffic pooling — instead of forcing invalid tests you can't trust. You still own everything: hypotheses, variations, results, and decisions all live in a learning repository as your institutional memory.

More traffic into a leaky funnel just spills faster and costs more every month. A shipped conversion winner is a permanent improvement to every visitor who arrives after it — paid, organic, or direct. CRO compounds; ad spend resets to zero the day you stop paying. The two work best together.