Mass mail hits everyone. Converts almost no one.
Blasting entire zip codes assumes every homeowner is equally likely to buy. They're not. Most will never need your service this year.
Mail to Only the 3% Most Likely to Buy.
Predictive Targeting is the future of direct mail, and it's only available with SendJim. Eliminate 97% of wasted spend before you print a single postcard.
Blasting entire zip codes assumes every homeowner is equally likely to buy. They're not. Most will never need your service this year.
Every wasted mail piece is CAC you can't recover. The waste isn't random — it's predictable. And predictable waste is preventable.
Our own data shows it. Creative matters. Offer matters. But who you mail matters most. Better list = better ROI before you change a single thing.
Free webinar. Game changer for home services.
Real spending capacity, not just reported income.
Ages of children, household composition.
Personality patterns, lifestyle indicators, values.
Type, age, and value of vehicles in the household.
Age, value, size, and ownership history.
Magazine subscriptions, cultural activities.
data attributes analyzed per household to predict buying behavior.
We analyzed thousands of real customer profiles across home service industries. The model identifies what they have in common — then finds more homeowners just like them in your market.
Thousands of real buyer records analyzed across roofing, painting, landscaping, pest control, and more.
250+ attributes studied. The model finds what buyers have in common that non-buyers don’t.
In your specific service area, the model identifies the top 3% of homes that match the buyer profile.
You send fewer pieces, to better prospects, at a lower effective CAC. More jobs. Less waste.
The structural reason broad targeting fails — and why better creative can't fix a bad list.
The methodology behind the model. What signals actually predict who buys home services.
Not demographics alone. Psychographics, lifestyle signals, and behavior patterns that matter.
See the technology run. Watch a real service area get filtered down to the top 3% of buyers.
Predictive Targeting + automated neighbor sequences = neighborhood domination on autopilot.
See the real numbers. Less spend per campaign. Higher response rate. Better CAC. Same territory.
As CEO and Product Owner, Daniel worked directly with SendJim’s software engineers and data scientists to shape Predictive Targeting into what it is today — bringing the operator’s perspective to every decision. He knows what contractors actually need because he is one.
His most recent home service company, My Garage Floor Guys, grew to over $2M in annual revenue in less than 5 years — automated by SendJim’s hyper-targeting tools. He’s also been featured on the popular Jobber Podcast 4 times. When Daniel talks about this technology, he’s speaking from the operator seat — not the boardroom.
Daniel will walk you through the technology live on May 21st.
of homes in your area are likely buyers
We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyse the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customised advertisements based on the pages you visited previously and to analyse the effectiveness of the ad campaigns.
Other uncategorised cookies are those that are being analysed and have not been classified into a category as yet.