You Already Paid for the Traffic. Is Your Website Doing Enough With It?

What a Tenth of a Point Is Worth

Consider a property website with 7,000 visitors a month, or 84,000 a year. At a 0.5 percent visitor-to-lead rate, the website produces 420 leads annually. If 8 percent of those leads sign a lease and the average annual lease is worth $30,000, the site produces about 34 leases with $1 million in annual lease value.

Increase the visitor-to-lead rate from 0.5 percent to 0.6 percent while holding traffic and lead quality steady. The site produces 84 additional leads, about seven additional leases, and $201,600 in additional gross lease value. At 0.7 percent, the modeled increase is about thirteen leases and $403,200. At 0.8 percent, it is about twenty leases and $604,800.

These numbers show the potential value of making improvements, not what you’ll get from a single test. Sometimes a test works, sometimes it doesn’t, or the results aren’t clear. The main idea is that even a small percentage change can mean a lot more money than it seems at first glance.

Gross lease value isn’t a perfect measure. You can’t lease more units than you have, and market conditions affect how improvements show up in your results. A better website might help fill units faster, support higher prices, lower leasing costs, or reduce the need for concessions.

The financial impact varies by property, but the basic formula is simple:

Most website tests aim to increase the visitor-to-lead rate while keeping the lead-to-lease rate the same. Getting more qualified leads from the same traffic should mean more leases without spending more on ads.

Your Website Vendor Is Probably Not Testing This for You

Many marketing teams don’t build their own testing process because they assume their website platform is already handling it.

That assumption makes sense because vendors work with hundreds or thousands of properties, have lots of traffic data, and control the product. If anyone knows what works best, it should be the company that built the platform.

Some platforms do UI/UX research. Others look at overall analytics, follow general web best practices, or test new features for their product plans. This can make the platform better, but it doesn’t answer the question a marketing leader has to answer: did this specific change bring in more qualified leads and leases for my properties?

A vendor might know that a certain CTA gets more clicks across all their clients. But that doesn’t tell you if it brings in more leads on your site, if those leads book tours, or if they sign leases. It also doesn’t show how results change based on your market, rent, unit mix, brand, traffic source, or occupancy.

Test the Whole Website

When teams talk about website optimization, they often focus just on the homepage. They might swap out the hero image, rewrite the headline, or argue over button colors. These changes can help, but they’re only a small part of the whole journey from arrival to guest card. The rest of the site carries the same weight: navigation, the mobile menu, the footer, floor plans, contact information, FAQs, and office hours. Calls to action affect when visitors enter the leasing process, while page order shapes what they see before deciding whether to take the next step. Forms, scheduling flows, pricing displays, floor plan filters, and page transitions belong in the same testing program.

Behavioral data can show you where to start. Scroll depth, heat maps, session recordings, and analytics reveal where prospects get stuck, but they don’t tell you exactly how to fix it. If scroll depth shows that most visitors never reach the neighborhood section, moving it higher is one possible response, and moving it into the navigation menu is another.

The same idea works for the whole website. Behavioral data shows where the problems are, and an A/B test tells you if your fix helps more qualified prospects complete a guest card.

What Makes It a Real Test

A common mistake is comparing results before and after a change. You launch something new, wait a quarter, and then compare it to the previous quarter. But during that time, things like pricing, concessions, seasonality, and local demand all change, and maybe new competitors open nearby. These factors affect your conversion rate more than the button you changed, and analytics can’t separate them out later.

A split A/B test is the best way to compare two versions of a website. In a real A/B test, half your traffic goes to one version and half to the other, with visitors assigned randomly and both versions running at the same time. All sources, paid, organic, and social, are split evenly, so neither version gets an easier group of visitors. This is the only way to make sure the only difference between the groups is the change you made.

A good A/B test splits similar visitors between two experiences at the same time. Both groups are in the same market, with the same pricing, seasonality, media mix, and leasing operations. Random assignment helps make sure one version doesn’t get a friendlier audience. When everything else stays the same, the change you made is the most likely reason for any difference in results.

You need a tool that can split all your traffic between the two versions, track the results, and give you statistical measurements over time. These tools show you, based on your actual sample, how likely the difference is to last and what the real impact might be.

More Leads Still Need to Be Good Leads

A couple of years ago, I was asked to lead a portfolio-wide rollout of a chatbot across all of our property websites. When I asked whether we had tested the chatbot to assess its impact, I was told that the vendor had reliable data showing a significant increase in leads and that some competitors had achieved great results.

I knew from prior experience that a full-scale rollout of this type without hard data could hurt the business, so I asked for six months to run tests.

From experience, I knew chatbot widgets can make conversion rates look higher because they’re persistent and interrupt the user experience. While these tools can boost lead numbers, they almost always lower lead quality.

We ran the test on 30 websites, and on every site, half the visitors saw the chatbot and half saw the existing experience. The test ran for six months so we could reach statistically significant results.

Contacts increased 38 percent, which looked like a clear win. Tours increased only 5 percent. When we followed the leads through the rest of the leasing journey, the control group converted 8.3 percent of its leads into leases while the chatbot group converted 4.6 percent. Even after accounting for the increase in contacts, the chatbot group produced roughly 24 percent fewer leases.

The widget made it easier to become a lead, but many of those new leads were less likely to lease. Marketing could have claimed success on lead volume and moved on. In the end that would have hurt the business, so we did not roll out the chatbot.

Fiercely Protect the Website

Marketing does not control pricing, the product, the leasing team’s staffing, or the condition of the units. The website is one of the very few components of the demand-to-revenue system that marketing owns outright and can improve directly. It should be defended accordingly.

Requests come in all the time, and most seem reasonable. Move a button. Add a CTA. Put a specials pop-up on the homepage. Change the navigation order. A competitor has a feature, so we should too. Each request is small and well-meaning, but any of them can permanently change a revenue-generating asset.

Without data, it’s just your opinion against the requester’s, and usually the person with more authority wins.

Regular testing changes this for good. After a year of real experiments, a marketing leader has solid evidence. Some requests can be answered right away because similar questions have already been tested. The rest become the next hypothesis to test before making any permanent changes.

Somewhere in your inbox right now is a message asking you to make a change to one of your websites.

If you say this often enough, the relationship shifts. Leadership stops giving you orders to carry out and starts asking you questions, because you’ve shown you can be trusted with the bigger picture, not just the next change.

Think Like an Owner

A marketer’s job is to produce results that hold up across the leasing team’s time, the property’s operating budget, and the owner’s return.

You already paid for every visitor on your website. The question is what you are getting for them, and whether you can prove it.