Our goal: Enable our clients with advanced analytics and predictive insights
We provide a wide array of analytic component modules that are plug and play with your existing MarTech stack to provide predictive insights for demand, supply, bundling, and marketing. Our team has delivered predictive marketing services to global companies, agencies and marketing technology companies.
Who We Serve
Chief Marketing Officer
- Optimize budgets across channels
- Accurately predict ROI
- Maximize profitability
Marketing Agency
- Select highest ROI products
- Maximize probability of purchase
- Maximize impressions
MarTech Integrator
- High bundle take rate
- Make offers at the appropriate time
- Maximize cost efficiency
Marketing Mix Optimization
DataPrime solutions optimize marketing across channels and campaigns to increase revenue by 3% to 5%, working within, given budget and constraints. Our solutions provide visibility into expected ROI of budget and plan while growing margins 6%+.
Product-Centric Insights
DataPrime solutions provide product and customer insights on acquisition promotions, promotion roll-off, and annual rate increases. Our proprietary customer behavior segmentation provides value churn and pricing insights for decision markers.
Product Bundling
DataPrime solutions analyze customer and product purchases to understand probability of purchase and profitability. DataPrime helps your organization select products based on highest expected profit at recommended prices.
Content-Based Offers
DataPrime solutions recommend bundles of products and services tailored to customer preferences and session context. We deliver offers at the correct time in a customer journey and at a price that balances profitability with probability of buy.
Demand-Side Buy Optimization
DataPrime solutions determine available inventory and calculate expected ROI across inventory based on key attributes. We maximize impressions and revenue with minimal cost-per-click.
Supply-Side Proposal Optimization
DataPrime solutions generate proposals/bundles that maximize total network revenues. We centralize analytical process that recommends optimal inventory utilization and discounts based on customer RFPs.Case Study:
Leading Retail Company
The Challenge
A global hair salon and specialty retail company seeks to understand the effectiveness and ROI on their marketing spend. The client’s marketing spend is allocated each year based largely on ”how it’s always been." Effectiveness of marketing campaigns is largely anecdotal, with no statistical rigor around measurement of impact.
The Solution
We utilized predictive models to measure expected ROI from marketing spend across channels and vehicles. We made recommendations that took into account timeframe and overall budget as constraints. We modeled optimized spend of the marketing budget across channels and campaigns, recommending allocation that drives highest ROI.
The Outcome
We implemented recommendations that resulted in 12% increase in return on marketing. We recommended mix of local and national buys across Network Television, Radio, and Cable results in significant revenue growth. This improved allocation of marketing funds results in greater efficiency and the ability to ”do more with less” based on more targeted / intelligent marketing.
Case Study:
Leading Media Company
The Challenge
We provided a solution to a major US television network, who sought forecasting and inventory control capabilities to better manage available advertising slots. The company needed to create optimal product packages to meet or exceed advertiser's goals. The complexity of the problem required an optimization, with 600,000 integer variables and 200,000 constraints.
The Solution
We designed a dynamic, asynchronous optimization model encapsulated in an easy-to-use pricing decision support system. The system generated TV advertising proposals / bundles that maximized total network revenues. The centralized analytical process developed recommended optimal inventory utilization and discounts based on customer RFPs.
The Outcome
We delivered forecasting and inventory control capabilities at the individual day-of-week / day-part level that generated a 7% increase in annual revenue. The proposal optimization system generated over $90 million in annual contribution margin gains and optimized customer needs, while maximizing network revenue.