Use Cases

Drive more product reviews with Iterable

mparticle-usecase

Having a system in place to generate product reviews can have a huge impact on future conversions. 

Earlier in the funnel, a strong showing of positive reviews can be the exact reassurance prospective customers need before they convert and make a purchase. In fact, studies have found that products with reviews are 270% more likely to be bought than a product without (source), and 92% of consumers hesitate to convert when reviews are not available (source).

Further down the funnel, the act of submitting positive experiences in a product review has actually been shown to increase a customer’s lifetime value by 23% across verticals (source).

That said, requesting a product review from the wrong customer, at the wrong time, or through the wrong channel, can negatively impact the customer experience and lead to poor reviews.

Step 1: Identify high-value events

The first step to recognizing loyal customers is identifying the events that suggest loyalty. Additionally, being able to count the sum or frequency of actions taken over a specific period of time helps you understand engagement levels. mParticle's Calculated Attributes allows you to compute events and attributes about a single user over a certain period of time. Calculated Attributes can perform count, aggregation, occurrence, and list functions for any customer record. In this instance, for example, you can use Calculated Attributes to understand the number of logins that each user has made in the last 30 days.

Step 2: Build an Audience of loyal customers

Once you understand loyalty across all of your customer records, the next step is to isolate your most loyal customers. mParticle's Audience builder enables you to construct dynamic segments by querying any data point on your mParticle customer profiles, including Calculated Attributes. To identify loyal customers, you can define an Audience rules such as number of logins in the last 30 days is greater than x, or number of purchases in the last 30 days in greater than x. Once an mParticle Audiences is built, it will stay up-to-date dynamically and can be connected to multiple downstream tools.

Step 3: Connect your Audience to Iterable

mParticle’s Iterable Audience integration allows you to connect Audiences to Iterable in real time for targeted engagement campaigns. After creating an Audience in mParticle and connecting to Iterable, the Audience will automatically appear as a List within the List View in Iterable. Audience membership attributes will stay up-to-date in real time, allowing you to create Audiences once and deliver targeted offers at scale. In addition to the Iterable Audience integration, mParticle's Iterable Event integration allows you to forward raw events to Iterable as they are collected.

Step 4: Activate your segment in Iterable to reach loyal users

Once the Audience has appeared as a List in Iterable, leverage Iterable's advanced engagement capabilities to prompt the target audience to leave a product review. For this use case, you can leverage Iterable's email, mobile push, SMS, and mobile inbox features to prompt your loyal audience to leave a product review. To design more advanced experiences, you can use Iterable's Workflow Studio.

To learn more about mParticle's Audience builder as well as how you can integrate data across your tech stack with mParticle, you can explore the mParticle platform demo here.

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