Your site already gets visitors. The real question is how many of them request a quote, fill out a form or buy once they arrive. We run structured experiments on your pages and funnels, measure what actually changes behavior, and only call a result a winner once it clears a bar we set before the test launched.
Conversion rate optimization is the work of improving how many of your existing visitors take the action you want, without spending another dollar to bring more people to the site. It starts with research, watching how real people move through a page, where they hesitate and where they leave. It ends with a test, because an opinion about what would convert better is not the same thing as proof.
CRO is not SEO and it is not paid media. It does not try to rank your site or buy you more visits. It works on the traffic you already get, from any source, and raises the rate at which that traffic converts once it lands on your page.
It is also not lead generation. Lead generation builds the offers, pages, forms and follow-up in the first place. CRO tests what is already there and changes it based on what the data supports.
We run the research, the experiments and the fixes they justify. Here is the work on either side of that:
Every engagement runs on these four, in this order. Research always comes first, and nothing gets tested until there is a written reason to test it.
Session recordings, heatmaps and a funnel step analysis show us where visitors hesitate, backtrack or leave. That tells us where the real leak is before anyone touches a headline.
Every test starts as a written hypothesis with one variable, one success metric and a reason we expect it to move. No redesigning a page and hoping it performs better by accident.
Sample size and run time are calculated before launch, not after. A result only counts once it clears the confidence threshold we agreed to in advance.
Slow pages, confusing forms, unclear pricing and buried calls to action all cost you conversions. When the research is clear enough on its own, we fix the friction instead of spending traffic testing it.
Heatmaps, session recordings and a step by step funnel analysis show where visitors actually stall. Not where we assume they do, and not where somebody in a meeting feels strongly.
Research turns into a short list of hypotheses, ranked by how much traffic touches that step and how much realistic upside a fix could produce. A high traffic step with a small suspected fix often beats a low traffic step with a dramatic one.
Sample size, confidence threshold and minimum run time get set up front. Run time covers at least one full weekly cycle, so day of week and traffic source swings do not distort the read.
A variant ships only if it cleared the bar we set. Losing tests get documented with the same care as winning ones, because knowing what does not move the number is worth nearly as much as knowing what does.
Most testing programs fail on discipline, not on ideas. A test runs four days, one variant pulls ahead, and somebody calls it a winner because the trend line looks good. That is a decision made on a sample too small to mean anything, and it is the most common source of false wins in this work. Checking results every morning and stopping the moment a variant first crosses significance does the same damage from the other direction. Repeated peeking inflates the false positive rate well past the 5 percent most people think they are accepting. We commit to a sample size and a minimum run time before launch, and we do not stop early because a variant is ahead.
What comes out of the work, and what each piece actually changes for you.
Session recordings, heatmaps and a funnel step analysis on your real traffic, not a generic best practice checklist.
What to test first, second and third, with the research reason behind that order written down.
Sample size, confidence threshold and minimum run time agreed in writing, so nobody renegotiates the bar mid-test.
A winner is a winner because it beat the threshold, not because the numbers looked good on day four.
A record of what you tried and what it did, so the same idea does not get relitigated every quarter.
Forms, page speed, calls to action and offer presentation changed for a reason you can point at.
There is no standalone CRO product on our rate card, and we are not going to invent one.
Conversion work is not sold as its own product here. It starts with an Attribution Audit, then the testing rides inside the build or the media engagement it belongs to. Every number above comes off the same rate card as everything else we sell, and the full list lives on the pricing page.
Managed retainers are 12-month partnerships starting at $2,000 a month, with six-month terms available at a 15% premium. Fixed scope or fixed monthly on everything. No hourly billing, on any of it.
Would rather talk it through than write it out? Grab a slot below. No charge, no pitch deck, and you will get a straight answer on whether this is the right fit.
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Tell us which page or funnel is not converting and what you already know about where people drop off. We will tell you what we would test first and what it would take to find out for real.
It is the practice of improving how many of your existing visitors take a specific action, like submitting a form, calling or completing a purchase, without increasing traffic or ad spend. We combine research, such as heatmaps and session recordings, with controlled experiments to find and fix what is actually stopping people, rather than guessing at a redesign.
Lead generation builds the machine. It is the offers, landing pages, forms, scoring and follow-up that turn a visitor into a named contact your sales team can work, and it is scoped on the lead generation page. Conversion optimization tests the machine that already exists and improves the rate at which it converts. If you have nothing built yet, start with lead generation. If you have pages and forms that underperform, start here.
Measurement proves what happened. It fixes GA4, server-side tagging, call tracking and CRM attribution so the numbers you report are accurate, and it is scoped on the marketing measurement page. Conversion optimization assumes that plumbing works and uses it to change what happens next. The order matters. If a test reads a broken conversion event, you will ship the losing variant with total confidence, so if your tracking cannot be trusted yet, that build comes first.
Page and landing page layout, headlines and on-page messaging, forms and checkout steps, calls to action and their placement, and how pricing or offers are presented. Every test targets a specific step where research shows visitors are dropping off, not a generic list of best practices applied without evidence.
Long enough to hit the sample size the test needs, and at least one full weekly cycle so day of week swings do not distort it. For most sites that lands somewhere between two and six weeks depending on traffic volume. We set the minimum duration before launch and we do not call a winner early because a trend looks good on day four.
Low traffic sites can still be improved, they just need larger differences or longer windows to reach a trustworthy sample. When traffic is too thin for a fair split test, we lean harder on qualitative research, like session recordings and usability review, and fix the friction that does not need a test to justify it. We will tell you honestly if testing is not the right spend for your volume yet.
No, and neither should anyone else. A specific lift number promised before anyone has looked at your actual site is a sales tactic, not a forecast. What we commit to is the process: real research, a written hypothesis, a properly sized test and an honest read of the result, win or lose.
An A/B test compares two versions of a page against each other. A multivariate test changes several elements at once, such as a headline, an image and a button, to see which combination performs best. Multivariate testing needs meaningfully more traffic to produce a trustworthy result, so we only recommend it once a site has the volume to support it.
There is no standalone conversion optimization product on our rate card. You start with an Attribution Audit at $4,500 fixed, or $6,500 for multi-location and multi-brand sites, and you get the research plus a prioritized list of what to test. From there the testing work rides inside whatever engagement it belongs to, a CRM + Automation Build at $6,000 to $18,000 or a Performance Media retainer from $2,000 a month. Half the audit fee credits toward any build signed within 60 days. Everything is on the pricing page.
The work on either side of the conversion rate.
"Sean and his team are great! We've been using his company for a couple of years now and could not be happier with their services."
"Working with Sean and Nicole has been a game-changer for our business. Super professional and easy to work with."
"They do amazing work and very easy to work with! Highly recommend."
"I would highly recommend using Site Hub. They are absolutely amazing and literal masters of their craft."
Show us the page or funnel that is underperforming and we will tell you what we would test first, what it would take to get a trustworthy answer, and what that costs. No lift number promised before anyone has looked at your data.
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