Étude de cas
CBA : calcul de la prochaine conversation appropriée
Conversations connectées sur 18 canaux
Décisions en temps réel en moins de 160 ms
20 millions de « Next Best Conversations » par jour
"We just did our 50 millionth next best conversation in person. That is 50 million times our frontline – either our branch or our contact center staff – had an opportunity to take the next best conversation and deliver that to our customers."
The Business Issue
Commonwealth Bank of Australia (CBA) is the largest organization in Australia by market cap, and one out of three Australians call CBA their main financial institution. To continue driving its market dominance, CBA looked to build deeper, more personalized relationships with each of its 10 million customers.
Using Pega Customer Decision Hub™, CBA created the Customer Engagement Engine that intelligently suggests and personalizes the next best conversation to have with each customer, whether they are in the branch, on the phone, online, or on a mobile device.
The next-best-conversation approach has generated major performance lifts for CBA, including:
- +12 lead in NPS over the competition
- 50 million next best conversations delivered
- 200 machine learning models with 157 billion data points
- 200 millisecond response occurring 20 million times daily
Industry: Services financiers
Groupe de produits: Pega Marketing
Défi: Vente croisée/Vente incitative
Défi: Fidélisation des clients
Défi: Rétention des clients