Analyse data from multiple sources to get actionable insights at scale. Identify opportunities and drive profitable growth among customers, products and stores.
Understanding relationships between purchase, location and profile data is important to developing insights among today’s connected shoppers. The challenge is actually making these insights actionable.
The Predict module enables you to collect opt-in, personalised shopper data as well as understand the effectiveness of your campaigns in real-time to drive response, store visits and sales. For example, do you know how many of your shoppers are most likely to get a 30% discount offer on shoes?
Beyond insights, Predict integrates a predictive recommendation engine that delivers campaign and product recommendations for each customer. These recommendations power personalisation and location-based alert features to ensure the most relevant campaigns are delivered to each and every customer.
As a result you will have the ability to deliver a highly personalised, relevant “Amazon-like” customer experience to your shoppers based on their immediate situation, past behaviours and profile information at scale.
How does Predict apply to your business?
Predict automatically recommends what type of campaign content you should focus on and sets alerts for each individual shopper, without any human intervention. It anticipates what each person will most likely respond positively to for each location or store that they visit, allowing truly personalised, intelligent and relevant engagement, without the need for sales associates or data scientists to manage this process.
Predict features include:
More personalised, relevant engagement – less is more approach
Improved response rates and sales conversion rates among your customers
Automated alert and content prioritisation with no need for manual administration, analysis or scheduling
Ability to manage location-based and messaging at scale with no risk of over-engaging your shoppers
Real-time metrics to optimise your strategy: Lifetime Value, Engagement Score, Probability of Response
Prioritise which segments or personas to focus based on lifetime value
Identify Churn and Win-back strategies
Drive Upsell and White Space opportunities