Leveraging interaction data

The first part of the process is collecting data from your servers, websites, apps and so on, when your users click on embedded link, answer a survey or read your emails they’re giving you a great signal. In this lesson we will share how to get data and leverage interaction data so your campaigns are much better.

Event sources

Setting up event sources will include creating a source in iMonetize and inserting the write key in your partners’ UI. What events a partner sends back usually depends on their products and will usually involve an event from either our live chats or emails. When you connect with a source, the next step is to send a tester email and check the debugger in iMonetize to have a look at which events come through.

Object sources

These data sources write data into data warehouses like Big Query after pulling data from cloud app partners. it may include non-user data tickets or subscriptions and this kind of data is majorly seen in reporting use cases. You can easily create dashboards when you have this data in one place that combine first party data from mobile and website with cloud apps. In some use cases, a customer wishes to get object data back in the event destination like having a list of users with open tickets then using that list as guide of who to exclude form your advertising and marketing emails. upselling your services to a dissatisfied customer is a terrible idea as they are more likely to lose trust in your brand.

Using source data

When your cloud app events begin to flow back into imonetize, then you can proceed to leverage the data. Marketing automation tools usually have reporting capabilities although they’re not their major focus. In order to have a more specific understanding of how your emails or your campaigns perform, you ought to leverage the monetization tools available on our platform. Alternatively, you can build a dashboard using the events we send to your data warehouse.

An example of something you can do is give customers that open your email a different experience from those who don’t interact with your correspondence. You can also make an audience containing users who haven’t visited your website or made a purchase in the last 6 months, but have interacted with your emails. You can then target this audience with advertising like Google or Facebook Ads. You’ll notice you get better results on re-engagement Ad campaigns after adding data from email interaction.

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Choosing the right data

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lesson 4

Naming conventions: a step towards clean data

A key way of setting up your business for success with data collection is, right from the onset, establishing a consistent naming convention. It will make code much easier to read as it will also help everyone understand what each event represents. This lesson shares reasons for a strong naming convention for monetization and ways you can implement the object action framework.