Predictive Marketing Mix
Know What You Should Do Next
We answer the tough questions
Predictive Marketing Mix goes beyond standard marketing analytics, which answers the question: what happened?
We answer the tougher, more important question: what should you do next?
With our Predictive Marketing Mix solution, we’ll predict an optimal marketing mix that will provide you the highest incremental return on your investment.
By applying a forward-looking lens to cross-channel marketing decisions, we’ll translate complex analyses into straight-forward and actionable recommendations, enabling marketers to achieve a maximum return on investment with an optimal mix.
See Things Holistically with a Unified View
Like Agile Marketing Attribution, Predictive Marketing Mix starts by integrating all your marketing data into a light-touch, unified digital marketing warehouse. For clients that don’t yet have a data warehouse, we’ll pull data from each of your marketing platforms into a Google Cloud BigQuery Data Warehouse using a mix of platforms’ API’s, partner API connectors and Slingwave proprietary API connectors. We’ll then apply our proprietary Codebreaker technology to ensure that performance data sets (like conversions, revenue, ad spend, offline actions, and more) from each platform are structured in an apples-to-apples format, consolidated and ready for analysis.
We Go Beyond Channel-Driven Spend Allocations
A simplistic prediction that recommends spending $X on one platform (like Facebook) and $Y on another (like Google), isn’t enough for most marketers to achieve their peak return on ad spend. So we go a step further. Once we determine optimal media mix across platforms, we identify optimal allocation amongst the various asset classes (shown below) within each platform.
Slingwave’s approach to predictive modeling combines our team’s data science expertise with machine learning, applying analytics to a robust base of data, predicting optimal marketing mix across digital channels, then continually testing, iterating, and enhancing those predictions.
What problem do we solve?
Predictive Marketing Mix was built to take marketers from a basic understanding of how campaigns performed to a sophisticated understanding of what actions to take next, delivered in a clear, timely, and actionable manner:
Most marketers struggle to get an accurate grasp on the impact of their past campaigns. And yet, the more important problem is getting a handle on what to do next. Our PMM solution answers pressing questions, like “what media mix” or “which creative investment” or “which geographic focus” will drive the most incremental business outcomes, ranging from new customers acquired to more products sold.
The science behind optimal media mix prediction is complicated. But our PMM solution makes the implications of data science easy to understand. We deliver recommendations in clear, visual dashboards that the entire organization rallies around and acts on when planning the next campaign.
Our PMM solves the problem of media mix models (MMM). Unlike MMMs, which can take a full year to update, PMM’s API-based ingestion of marketing data and machine learning deliver recommendations in near real-time, allowing you to continually optimize your next campaign decisions.
What you get when you work with us
Predictive Marketing Mix delivers a report that takes Agile Marketing Attribution to the next level:
We also provide a core set of dashboards in each clients’ preferred BI format (Google Data Studio, Tableau, and others) and preferred end points (via a portal login, emailed reports, or other means) that report on campaign performance by:
Let’s get started
Partner with us, or find out more.