Intercom is a fantastic tool for providing chat support, sales outreach, and even email marketing – all in one, easy to use tool. We’re such big fans of the platform here at DataHero that we use Intercom ourselves to handle the customer facing side of our business. It has allowed us to improve our direct relationships with our customers and ensure that our support team is more readily available to provide the highest levels of customer support.
As power users of the platform, it became obvious to us that finding deeper Intercom analytics and support team reporting would be a natural requirement for us to fully transition our support team efforts to this platform. It’s one of the reasons why chose to integrate directly with Intercom and build a data connector, letting any business to analyze their Intercom results quickly and easily. DataHero now allows you to dive into the details of your Intercom analytics and conversational data like never before.
When it comes to easily visualizing and analyzing cloud data from 3rd party services, DataHero is unmatched in its ease of use, power, and simplicity. We flat out get insights faster and easier than any other analytics platform, without requiring a data analyst or Business Intelligence team to get involved.
With DataHero, it’s incredibly easy to connect your Intercom data and instantly start analyzing historical data that is captured in your Intercom account. For instance, this chart shows Intercom users from when they first signed up for your service, broken out by custom attributes such as Plan Type. With DataHero and Intercom, it’s easily to slice and dice your data based on any custom tags or attributes that you’ve previously defined.
Don’t forget, you can also combine your Intercom data with any other data source that has a shared key, so you can merge datasets and get even more detailed insights. Easily combine Intercom chat and support data with Hubspot Sales, Marketing, and CRM data by email address to get one end-to-end view of your customer and prospective sale across all your key touchpoints.
You can create charts for each one of your Intercom datasets – whether you are interested in Users, Leads, or Conversations. Below, you’ll see that we mapped Weekly Intercom Conversations split out between Closed Conversations and Open Conversations, to see how our support team was managing their support volumes. Of course, we could have just as easily split this out by day, month, or year.
Once you’ve created the Intercom analytics that make sense for how your unique business works, it’s easy to add charts to shareable dashboards or export charts and dashboards as PNG files or PDF reports. DataHero allows you to automatically schedule data updates so your reporting can be set on auto-pilot and your Intercom analytics and reporting are always up to date.
We hope this overview of DataHero and Intercom helps you find faster, deeper insights into your customers’ behavior as well as your sales and support team’s productivity. This is only the beginning of what you can do using DataHero and Intercom together.
We’d love to hear any use-case suggestions you have! Simply email us at email@example.com and we’d be happy to tell you more.
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