Pular para o conteúdo principal

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice

Pega Next Best Action Marketing

Say hello to a dynamic approach that combines traditional performance marketing, with high-empathy customer journeys, and real-time triggers.

How We Do It

Unleash AI. Jumpstart relevance. Boost conversion.

Hit your performance goals

Campaigns are the foundation of any strong marketing program – they drive value from your best customers, and help hit your acquisition, awareness, and revenue numbers. But in today’s market, your campaign tools have to be simple, easy to use, and easy to scale… so AI is required.

Add context to the customer journey

Customer Journeys need to be personalized and fluid, and scale across your business – that’s required to maximize conversion, and drive a high NPS. So your journey solution needs to integrate real-time data and adaptive machine learning, instead of relying on logic and business rules.

Read the eBook Watch the full PegaWorld replay

Trigger next best actions, in real-time

A great marketing program has to predict customer behavior, before it happens – and trigger the perfect message, exactly when it’s needed. You can leverage streaming data and propensity scoring to get ahead of opportunities, before your competitors even know they exist.

Use inbound to power outbound

Digital customer signals like clicks, conversions are the best indicators of customer intent. You can integrate real-time decisions into your mobile, web, contact center, and paid experiences – then use the response data to supercharge your entire marketing program.

Read the article See how Citi does it
Responsible AI: Great Power Requires Greater Accountability

A Pega White Paper

Responsible AI: great power requires greater accountability

The benefits of AI are well established, but organizations using AI-driven systems must be accountable for their actions. Beyond the financial and legal risk of “AI gone wrong”, there is a moral obligation to improve AI.

Learn how responsible AI can set higher standards, reduce bias, and promote empathy.

Compartilhar esta página Share via X Share via LinkedIn Copying...