Marketing is expensive when you target the wrong people.
Improve Targeting With Predictive Analytics
Predictive modeling identifies consumers that are most likely to be interested in your brand, product or service based on the attributes of your current customers. Think of it like cloning your current customers.
The predictive modeling process creates a mathematical algorithm that generates a custom audience score. Then we apply this algorithm to a much larger marketing audience so we can identify the subset of ideal candidates for your business. For example, we may score everyone in the U.S. if you’re a B2C marketer or just a file of businesses in a certain industry if you’re a B2B marketer. Finally we select just those prospects with the highest scores to build your custom audience.
This custom audience can be marketed via mail, e-mail, or through your social media outlets. Targeting prospects with the highest probability to become your customer reduces waste and improves marketing effectiveness. We provide campaign management services to execute in-market tests, or we can work with your existing providers. Whatever works for you.
Why Work With MineTrove?
1. We’re Specialists
Many machine-learning algorithms offer speed, but can sacrifice accuracy and not perform as expected due to how they’re trained. Alternatively, a regression-based approach alone can produce high-quality predictions but take weeks to complete on new, unfamiliar data. Poor predictions and time-consuming efforts are wasteful.
We compiled decades of thought leadership and in-market experience to produce our modeling platform: An unsupervised modeling environment combining machine learning and regression-based predictions to produce unparalleled results.
2. We’re Fast
We build all of our predictive models in-house, using our proprietary predictive modeling platform. What does this mean to you? Better customer targeting based on better science and shorter model development timelines.
3. Flexible Pricing
Many of our clients opt to purchase modeled audiences through us rather than have a predictive model commissioned by one provider and then purchase a marketing list through another. When clients purchase their marketing audiences through us, we waive up-front modeling fees in lieu of a scoring fee based on the size of the audience. This approach makes testing much more affordable.
We also provide modeling services to other marketing agencies and work with their data providers to produce scored lists. We’re always flexible and are open to new ways of working with clients.
4. Your Data Is Secure
Producing predictive models requires obtaining a sample of your current customers to train the model. All of our data is stored in the U.S. in a secure data center, accessible only to us. Our models are all developed in-house, not outsourced to a third party where your data would be exposed to yet another unknown party. Once the modeling process is complete, we delete your data for security purposes.
Smarter. Faster. Better.
What does this mean to you? Better customer targeting based on better science, with shorter model development timelines, flexible pricing and data security for your customer data.