GoKnock vs. DealMachine

Explore Real Estate Options. Access an extensive array of distressed properties located near you. Investigate Ownership. Quickly gather vital information regarding property ownership, such as mailing addresses, contact numbers, and other relevant details. Initiate Contact. With a simple click, start a direct mail campaign or launch an automated text messaging initiative to engage with the property owner. Utilize a mapping feature to visualize properties and determine the fastest routes. Keep Track of Your Routes and Notes while driving to avoid unnecessary detours. Streamline Your Tasks and Timelines. Improve communication and productivity through detailed KPI Reports. Review information about property owners, mortgage specifics, and evaluate property values and equity. Assess your potential client's financial viability during negotiations. Effortlessly find any property using the app or by selecting it on an interactive map, gaining instant access to homeowner contact information, including names, mailing addresses, and phone numbers. This all-inclusive tool guarantees you have every resource you need for successful property management and outreach, making your efforts more efficient and effective. With its user-friendly interface, you can seamlessly navigate through the data, ensuring you maximize your opportunities in real estate.

If you’re a real estate investor, mortgage lender, roofing contractor, solar installer, DealMachine gives you 700 filters on homeowners and properties to build the perfect marketing list for direct mail, email, phone, text, and online outreach. DealMachine is a real estate data + consumer data platform that gives real estate investors and home service based businesses (anyone who needs to reach homeowners) access to property, ownership, and decision-maker insights they can't get anywhere else. Skip tracing used to cost $.10 per house. No more. We allow 10,000 exports for $119 per month, saving investors over $800 per month. Our platform combines daily-updated property data matched with consumer data monthly. This allows accurate “skip tracing” and unique filtering such as: 1. The phone numbers are labeled owner/renter/family so you can isolate the decision maker 2. You can filter by the “skip trace data” to build your list like owner age, language spoken, or household income. This example is helpful for land investors… usually only seniors sell vacant land. 3. You can totally eliminate any disconnected numbers by using our export column that says how much the person picked up their phone in the last 2 months… We also created unique data sets such as road frontage (for land investors), double lots, and corner lots, building condition is also a unique filter. In a world where “everyone has the same list” We keep adding new data sets like these which allow investors to be more efficient and targeted with their marketing.