Identify your target audience scientifically
- Predictive insights into future buying behavior
- Sophisticated knowledge discovery with state-of-the-art statistical techniques
- Deep insight into meaningful factors that trigger purchase decisions
- Proven accuracy through both back-testing and actual results
SmartZip applies innovative statistical methods to our vast array of home and homeowner information to identify targets most likely to buy. Who is ready to sell their home? Who is thinking about going Solar? Who could qualify for your specific loan? When you focus your marketing efforts on these likely prospects, you increase the sales ratio, and improve your return on marketing.
Homes are analyzed and ranked based on likelihood to buy
Each home in a territory is ranked periodically based on its probability to buy a product or service. Knowing which homeowners are your most likely to be future customers helps marketing efforts pay off and multiplies your chances of success. For instance, real estate professionals leverage our predictive analytics to target homes most likely to sell over the next 6-12 months. On average, the top 20% of our target list contains 40%-50% of future listings that come up for sale – It’s like having a territory with twice the turnover. We help solar companies target homes most suitable and likely to go solar, based on hundreds of factors about the home, homeowner, neighborhood, utility bills, financing schemes, incentives, and more.
Proven algorithms hyper-tuned for each custom territory
Our predictive models are finely tuned, based on hyper-local and up-to-date market conditions, to accurately predict most likely future customers in your custom territory. Not only do we back-test everything to measure the accuracy of our models, we continually match our predictions against actual sales to track the real-world performance of our models and tune them as necessary with changing conditions. For real estate, our back-testing proves that we can more than double your chances of getting listings by targeting the top 20% of our identified targets. In solar, our benchmarks prove that over 25% of current solar installs are in the top 10% of our predicted targets – that’s 2 ½ times better odds of winning a deal!
SmartZip analysts are highly trained scientists, statisticians, and economists—many with advanced masters’ and doctoral degrees—who use sophisticated statistical and mathematical techniques to develop compelling insights for our clients. They have created a number of unique inventions for home pricing, investment quality, and targeting. For example, we have leveraged our analytics expertise to build our neighborhood home price index and Automated Valuation Models (AVM) for home pricing, which use unique fuzzy clustering and other scientific techniques to compensate for incomplete, missing, or insufficient data.
Our predictive methodology applies a variety of mathematical techniques to the specific industries that we help, including:
- Target profiling
- Knowledge discovery
- Fuzzy clustering (data borrowing)
- Multivariate regression and discrete choice modeling
- Survival analysis
- Machine learning
- Back testing
We continually refine and tune our models in accordance with changing market conditions and availability of up-to-date data. Custom analytics can be developed to fit your unique business requirements and sales objectives. Contact us for details.