Evolve has data on 30,000+ owners' homes and already gives real estate agents "free co-branded" rental income estimates. Homeowners get none of that. The owner page's only call to action is "See if you qualify", and the only earnings tool on the site is a 2023 blog calculator that asks owners to guess their own nightly rate and nights booked. The question every owner arrives with, "how much would my home earn?", is answered only after a sales call.
First action
Reuse the agent estimate logic for one test market and put it behind a flag.
How to measure it
Qualified leads per paid visit
- Now
- –
- Target
- +25%
- By
- 90 days
Steps
Reuse the model
The agent estimate method, simplified for owners.
Staff Machine Learning Engineer 1 week
Design the flow
Address, size, range and fees.
Senior Product Designer, Growth 1 week
Build behind a flag
One market first.
Web Engineering Lead 1 week
Pass to Salesforce
Estimate attached to the lead for advisors.
Sales Operations 2 days
Test
Estimate flow against "See if you qualify".
Senior Product Designer, Growth 3 weeks
Nurture
Estimate follow-up journey in Customer.io.
Senior Manager, Lifecycle Marketing 2 weeks
Why it works
Build an estimate flow on the owner landing pages: address, bedrooms and sleeps, then a revenue range drawn from Evolve's market data and the 208 market reports, with the Core and Plus fees and the $250 onboarding fee taken off. Ask for contact details to save or email the full estimate, then hand it to the advisor so the first call starts from the owner's number.
An estimate is the strongest hook in owner acquisition. It gives paid traffic a reason to convert, lets the form qualify on the property rather than on intent, and lets the new ML team improve it over time.
Ready to use
ChecklistOwner estimate flow
[ ] Address and bedrooms as the first step [ ] Revenue range from market data, with the method shown [ ] Core and Plus fees and the $250 onboarding fee taken off [ ] Nearest case study under the range [ ] Email the full estimate (contact details) [ ] Estimate stored on the Salesforce lead [ ] Customer.io follow-up for owners who do not book [ ] A/B test against "See if you qualify"
Risks and how to handle them
Estimates set expectations too high
Show a range with the method and a market comparison.
Low-intent leads
Ask for contact details only to send the full estimate, and score by property.
Evidence
- Your websiteThe only earnings tool for owners is a blog post dated May 11, 2023 ("Use Our Vacation Rental Income Calculator"), which asks owners to type in their own nightly rate and nights booked. The agent partner page, by contrast, offers agents "free co-branded" rental income estimates.Source
- Your websiteOwner page: "18% more revenue than the market average", "30,000+ owners", "4.8 stars earned from guests"; plans Core 10% management fee, Plus 15%, Pro custom; a one-time $250 onboarding fee (plus $25 per additional property); a Mid-Term Rental Add-On at $249 per listing per year; a six-month Risk-Free Guarantee. The only call to action is "See if you qualify", which opens a form asking only whether the visitor wants to rent out one property, several, or buy one.Source
- HiringSenior Product Designer, Growth (remote US, posted October 15, 2026): "Evolve is the largest tech-enabled vacation rental management company in North America" with a "newly formed Growth team"; the role designs "landing pages", "RFI qualification flows, PLG tools and onboarding mechanics", ships tests "to lower CPL and CPMQL and lift lead-to-signup conversion", builds "modular landing page templates", and needs skill in "web performance".Source
- Your websiteMarket analysis library: 208 downloadable market reports ("see how an investment property in your favorite U.S. area stacked up in the last 12 months"), served as PDFs from the old evolvevr.com domain; the files checked were last modified on August 3, 2025.Source
- HiringStaff Machine Learning Engineer (posted August 25, updated October 16, 2026): Evolve's first ML engineer; the Data Product team builds models that "improve owner acquisition and retention, pricing, revenue performance", including forecasting, price-elasticity and LLM-based products. A Senior Data Engineer is building the Snowflake and dbt platform.Source