We enable global retailers to use a diverse set of online, offline, mobile and proprietary data sources to profile their current customers and store visitors. We then find other similar customers creating an expanded digital and offline marketing audience and use Artificial Intelligence to target them at the right time, with the right product.
An omnichannel data solution installed in 45 days generating insights from 280 physical stores
net new customer profiles
free advertising exposure
online JD.com purchase transactions
net new WeChat fans
In Retail Merchandising and Marketing
What Makes Migo A Cool Vendor ?
Our predictive analytics suite ingests diverse data (transaction, in-store traffic, mobile behavioral data, and social media commerce signals) and analyzes it across multiple dimensions using machine learning as the core for all analytics. This enables retailers to gain actionable insights into retail operations and customer touch points. Migo’s deep learning algorithms provide high dimension prediction analytics for customer next purchase time, next product preference, pricing sensitivity, channel preference and contextual factors such as weather and the effect of occasions such as holidays.