Data Analytics Archive
Life stage signals as well as event and behavioral triggers help banks and credit unions target marketing offers and the time of most need.
Will everyone be able to harness the power of predictive analytics — including community banks and credit unions — or just a privileged few?
While banks and credit unions believe data can help them create a competitive advantage, their analytic capabilities lag behind other industries.
Predictive analytics, combined with advanced digital delivery options, can offer consumers financial solutions at the exact time of need.
Lemonade is an insurtech player that is positioned to disrupt the insurance industry using digital technology and machine learning.
Build your cross-selling strategy around the same kind of data-driven insights used by sophisticated digital marketers like Netflix and Amazon.
Despite the availability of more data sources and advanced analytics, most marketers can't respond to customer journey opportunities.
Here's why banks and credit unions should believe in artificial intelligence and invest in the power of advanced data analytics.
Combining the power of artificial intelligence and social messaging, chatbots yield increased engagement with decreased costs.
The customer data flywheel effect is an ongoing and iterative process, allowing financial organizations to improve personalization over time.
Senior marketers at smaller banks and credit unions can sense the urgency: it's time to hop on the analytics bandwagon... or risk getting left behind.
One of the most important uses of data and analytics is for measurement of marketing effectiveness and campaign results.