The MoEngage Offerings & Decision Policy, is a powerful solution designed to help marketing and business teams deliver personalized and effective promotions to their customers. This feature,  streamlines the process of designing, managing, and displaying targeted promotions on digital platforms such as mobile apps and websites.

This feature empowers teams to create promotions called Offerings in MoEngage that are not only tailored to specific user groups but also optimized through intelligent Decision Policies to ensure relevance and impact. Whether it’s promoting a limited-time sale, showcasing a loyalty reward, or announcing a new service, this feature provides the tools to deliver the right message to the right audience at the right time.

Key Components

The Offerings & Decision Policy framework addresses two major aspects of promotion management:

Offerings

An offering is a comprehensive promotional unit that comprises critical elements like user eligibility, scheduling, priority, display capping, and content design. You can seamlessly use pre-designed templates to build attractive and consistent promotions that align with brand guidelines. For more information, refer to Offerings.

Decision Policy

While multiple offerings may be created, not all need to be displayed to the users. The Decision Policy acts as the intelligent engine that determines which offerings are displayed, where, and to whom. It optimizes the promotion experience by factoring in user context, business priorities, and fallback mechanisms to ensure no opportunity is missed. For more information, refer to Decision Policy.

Why Use Offerings and Decision Policy?

By combining the creation of tailored promotions with automated, rules-based selection, Offerings & Decision Policy simplifies the promotional workflow and enhances its effectiveness. Here's why it is essential:

• Personalized targeting: Use advanced eligibility rules to ensure that promotions are relevant and shown only to the right audience.
• Flexible scheduling and display control: Customize when promotions should run and limit how often they’re shown for an optimal customer experience.
• Visual consistency: Leverage intuitive templates for cohesive and professional-looking promotions that take seconds to create.
• Smart decision-making: Decide the most relevant offerings to display to each user by balancing business goals (priority) and user engagement strategies.
• Backup fallback mechanisms: Never leave a user without content, thanks to default fallback promotions in the event of non-eligibility.

Suggested Use Cases

The following are some potential use cases for the Offerings & Decision Policy, illustrating how businesses can leverage this feature to drive engagement, loyalty, and conversions:

Seasonal campaigns

Run targeted promotions for holidays, seasonal sales, or special events (for example, "Black Friday Deals" or "Summer Discounts").

• Target segment: Users who have made purchases within the last 3 months.
• Decision Policy: Display high-priority promotions for exclusive bundles or discounts.

Loyalty rewards programs

Showcase personalized loyalty rewards for your most valued customers (for example, redeem points for discounts).

• Target segment: Tier-based rewards for loyalty program members.
• Decision Policy: Promote the "most redeemed" rewards as a primary offering while providing fallback options for users with fewer points.

Upselling and cross-selling

Recommend product add-ons or complementary services based on customer behavior (e.g., "Upgrade your plan" or "Bundle your purchase!").

• Target segment: Users currently on basic or mid-tier plans.
• Decision Policy: Prioritize promotions based on expected revenue uplift.

Abandoned cart recovery

Re-engage users with abandoned shopping carts by offering special discounts or free shipping incentives.

• Target segment: Users who added items to their cart but didn’t complete the purchase in the last 24 hours.
• Decision Policy: Display the most attractive discount or "limited-time offer" promotion.

New user onboarding

Drive engagement during the onboarding process of new users by showcasing welcome offers or tutorial prompts.

• Target segment: Users who signed up within the past 7 days.
• Decision Policy: Highlight promotions that drive key activation milestones (for example, "First Purchase" discounts).

Product launch announcements

Create excitement for newly launched products or services with banners and alerts across the app or website.

• Target segment: All active users, segmented by geographic location or interest tags.
• Decision Policy: Rotate featured promotions using a dynamic "new arrivals" tag.

Re-engagement campaigns for inactive users

Win back lapsed or dormant users with personalized incentives (for example, "We Miss You" campaigns).

• Target segment: Users who haven’t engaged for 30+ days.
• Decision Policy: Show high-priority promotions such as time-sensitive discounts or exclusive deals.

Regional or location-based promotions

Target users in specific geographic regions with localized offers (for example, discounts at nearby stores).

• Target segment: Users defined by GPS location data or zip codes.
• Decision Policy: Use fallback options to ensure appropriate content is shown if local promotions are unavailable.

With such diverse applications, the Offerings & Decision Policy equips your business with a flexible and versatile toolkit to significantly enhance customer engagement, loyalty, and conversion rates.

Next Steps

Dive into the sections below to learn more about how to:

1. Set Up and Manage Offerings.
2. Configure Decision Policies for Targeted Campaigns.
3. Create Personalize API campaigns using Decision Policy.