ROI: return of $1.2M per annum (26X ROI) for a group of 40 brand, marketing & product managers.
Using AI to provide marketers with faster, more meaningful insights to support marketing strategy and help them reach target customers. Anna allowed marketing teams to obtain a personalised understanding of their current & target customers, with the ability to profile, deep diving across various areas - such as demographics, product behaviours/sales, channel preferences and loyalty.
Problems we were tasked to solve and audience
Helping marketers within financial services organisations:
Frequently used terms:
Result delivered (sample questions)
Summary of value
Marketing, product & brand managers must build business cases to justify the cost & direction for new product or communication decisions. Before Anna, the process of gathering the required data and insights was estimated to take an average of 5 business days (40 hours) to build an accurate understanding of customer profiles & behaviours per each business case - with business cases often built of quarterly, 6 monthly or annual planning cycles.
After the implementation of Anna - this was reduced to 2 hours - saving 38 hours per business case (approximately 1 week per business case). Across a team of 40 product & brand managers, this equated to a time-saving worth over $1.2M per annum (26X ROI) for a group of 40 managers in the pilot group building a quarterly business case, each additional business cases saving even more cost & time!
Summary of value
Tasks such as creating your own reports or dashboards require the knowledge of where to navigate through your data for insights, but this has been proven difficult and time consuming.
Using the power of AI, Hyper Anna executes millions of hypotheses to discover complex patterns in datasets. The most practical and relevant insights are then pro-actively delivered to your inbox. In contrast to large teams of analysts finding answers from data, Hyper Anna will single- handily do it in a matter of hours.
In this example below, Hyper Anna automatically suggests a marketing manager to look at brands or categories that are under- or over-performing significantly, and importantly, the factors that contributed to this.
Getting insights from data is now as simple as asking a question.
In this example below, a marketing manager has asked Anna to analyse revenue by customer age segments.