Analytic Partners, a global leader in marketing analytics, announced the official launch of its test and learn solution, Agile Learning as part of the GPS Enterprise solution suite. Agile Learning supports data-driven decision making across an organization by designing experiments that provide accurate and faster validations.
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Agile Learning makes sophisticated experimental design easy by guiding the user through test setup, including test vs. control group selection (i.e., market or other), statistically significant sample size, and test length, and by visualizing recommended selections, attributes, KPIs and media data. Contamination checks through the validation process ensure experiment outcomes are statistically sound, driving confidence in measurement and potential to scale. Finally, test results are integrated into the platform to visualize performance and success of the experiment, as well as highlight opportunities for broader application.
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Agile Learning can address hypotheses and business questions such as:
- What is the impact of shifting my campaign or message to a different target?
- Is there an opportunity to scale up spending behind a new, emerging marketing channel?
- What can I expect of small scale and local activities?
- How will changes to store format, operations, or services impact my business?
- What will be the impact of new products, menu items, or assortment?
- Which offer and discount will be best to optimize sales and profitability behind my new product/service?
As an integrated module of Analytic Partners’ GPS Enterprise platform, Agile Learning is built on the foundation of Commercial Mix Modeling. This integration provides a holistic understanding of marketing and non-marketing drivers to better position businesses facing market challenges and disruptions. Furthermore, by leveraging intelligence from Analytic Partners’ marketing intelligence solution, ROI Genome, Agile Learning goes beyond traditional test/control comparisons to capture and quantify current complexities, measure multiple KPIs, and minimize bias and contamination.
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