Full-Funnel Audit
Deep-dive analysis of your entire website to identify friction points and conversion leaks at every stage of the customer journey.
We transform your website into a high-performance sales engine through scientific A/B testing, behavioral analysis, and user-centric design that maximizes every click.
We combine behavioral psychology with rigorous data analysis to identify and fix the conversion leaks in your funnel that are costing you revenue.
Deep-dive analysis of your entire website to identify friction points and conversion leaks at every stage of the customer journey.
Executing rigorous split tests on headlines, CTAs, and layouts to identify winning variations based on statistically significant data.
Visualizing where your users click, scroll, and get stuck using heatmaps and session recordings for deep human-centric UX insights.
Designing and building high-impact landing pages geared toward a single goal: turning visitors into high-quality leads.
Optimizing your messaging and value proposition to resonate with your audience's deepest pain points and psychological desires.
Ensuring your pages load instantly, as every millisecond of delay correlates directly to a drop in your conversion rate and user trust.
Convert more of your existing traffic into leads and sales with rigorous, data-driven optimization.
Running structured A/B and multivariate tests based on real user friction points, not guesswork.
Analyzing user session recordings, heatmaps, and checkout dropoffs to pinpoint exactly where you are losing revenue.
Re-architecting checkout funnels, calls-to-action, and layouts to create a frictionless buyer journey.
Focusing strictly on bottom-line metrics like average order value (AOV) and lifetime value, rather than vanity clicks.
We combine data-backed audit logic with rapid experiment life-cycles to deliver conversion growth that scales sustainably.
Using GA4 and session recordings to identify exactly where and why users are dropping off your site.
Week 1-2Creating a testing roadmap based on the P.I.E. framework to ensure we focus on the highest ROI changes.
Week 3Launching A/B tests and gathering clean data until statistical significance is achieved for a winner.
Monthly CyclePermanently deploying winning variations and moving to the next high-value optimization point in the funnel.
Infinite GrowthWe use industry-leading testing and behavioral analysis tools to ensure every decision is backed by user data, not just intuition.
Our portfolio showcases conversion rate results that blend technical audit data with massive testing scale to drive consistent bottom-line growth.
Choose an optimization engagement that matches your traffic ambition and testing frequency.
Perfect for businesses needing a professional audit and a winning landing page foundation.
Ongoing A/B testing and behavioral analysis for brands spending for rapid revenue scale.
For high-volume platforms needing deep-funnel engineering and dedicated growth analysts.
Teams come to Digi Web Tech when they want sharper execution, cleaner reporting, and a partner that can move from audit to rollout without wasting momentum.
"The strategy felt specific to our market, the execution was fast, and the reporting finally made sense. We saw better leads, clearer priorities, and stronger momentum within weeks."
Marketing Lead, Conversion Rate Optimization ClientLearn about our testing timelines, the difference between A/B and multivariate, and what traffic volume you need to start.
Get a quick audit and a starting roadmap for your revenue upgrade today.
While some audits can be done immediately, for statistically significant A/B testing, we typically look for at least 10k monthly visitors or 500 conversions to ensure fast results.
It means we don't guess. We observe data -> create a hypothesis -> build an experiment -> analyze results. If the data shows the new version is better, we deploy it.
A/B testing compares two versions of a whole page or element. Multivariate testing tests several elements at once to see which combination performs best for your goal.
Depending on your traffic, a test typically runs for 2-4 weeks. We need enough data to reach at least a 95% confidence level before calling a winner.
We use testing tools like VWO or Optimizely that can run experiments without changing your core code initially. Once we find a winner, we then implement it permanently.
We look at Revenue per Visitor (RPV), Conversion Rate (%), and Order Value. Our goal is to make every dollar of your current ad spend more profitable through better efficiency.