
Designed for Marketing Managers
Compare the return on investment (ROI) of various events, identify patterns, and quantify the relationships between demographic groups, dwell time, and spending in relation to event investments.
Challenges
How Does the App Work?
Configure a list of marketing events with their respective parameters such as event dates, evaluation periods, campaign types, metrics to be measured and other relevant attributes for evaluation purpose.
Marketing managers can determine the effectiveness of their events by comparing pre- and post-event traffic and sales data patterns obtained by measuring shopper traffic patterns and combining them with sales data.
Analysing the measured responses of ongoing and past marketing events enables marketing managers to identify common response patterns and correlations between different attributes.
With built-in predictive analytics and machine learning algorithms, a marketing manager can simulate the effectiveness of previous campaigns to upcoming events by forecasting potential outcomes based on historical data.
Features
Compare the return on investment (ROI) of various events, identify patterns, and quantify the relationships between demographic groups, dwell time, and spending in relation to event investments.
By analysing footfall, sales, and other metrics across stores, the app provides insights into marketing effectiveness for different store types, enabling targeted campaigns for each.
By targeting the right audience with relevant marketing messages, Marketing Director can increase their return on investment (ROI) and reduce marketing costs by avoiding wasted efforts on audiences that are unlikely to convert.
Case Studies
See all Case StudiesA Fashion Apparel Store in United Kingdom
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