Announcing the BigCommerce Deep Data Integration

When we recently announced our Shopify Deep Data integration, we mentioned that it was only the first of many ActiveCampaign Deep Data integrations to come.

In case you missed it, ActiveCampaign Deep Data integrations are a special type of enhanced integration that brings 3rd party information about your contacts into ActiveCampaign. Our goal with Deep Data is twofold. First, we want to make it easy to bring in as much valuable contact data as possible so that you can consolidate all your data into a single platform. Second, we want to make that information actionable inside the ActiveCampaign platform. We want to make it really easy to improve your marketing processes with it.

I am excited to announce that we have just released our second ecommerce Deep Data Integration with BigCommerce.

The BigCommerce Deep Data integration brings information about your ecommerce customers inside ActiveCampaign, and associates that information with a specific contact record.

You can now view information like previous purchase history, customer total revenue, customer total orders, and customer total products purchased from right inside your ActiveCampaign account.

In addition to making this information easily accessible inside the contact record, you also have access to this information anytime you use the segment builder.

For example you can segment contacts that have purchased a specific product, or have achieved a specific lifetime value, or have purchased 9 or more products, or have made 4 or more individual orders.

You can use this information inside the automation builder in places like in Goals or If statements, to increase lead scores, and create unique paths in automation workflows.

At the bottom of the post I’ve put together a few examples that you can use to get started.

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Escape the Clouds


A lot of our competitors love to tout the “cloud.” At ActiveCampaign we prefer sunny days. Sunny days and options.

We believe in a world of modular marketing stacks. Where marketers are free to pick and choose the best-of-breed solution that make sense to them, and each of those modular platforms fit and play well together. As your your business grows, you can swap out solutions so your marketing stack is able to adapt over time as your needs change.

Deep Data is your sunshine on a cloudy day.

Escape the Clouds

Deeper Data is on the way

When we first announced our Deep Data Integrations with Shopify, we promised that more would be coming soon. BigCommerce is the most recent commitment, and won’t be the last. Many of you have requested other ecommerce Deep Data Integrations, and I promise more are on their way.

Ecommerce is just the start of Deep Data. Over the coming weeks, months and years, we plan on introducing many more Deep Data categories. From courses, to events, we want to give you the freedom to choose the platform that is right for you and your customers.

We want to hear from you what is the most important. Please let us know in the comments what Deep Data Integrations you would like to see, or submit a feature request directly to our product team using the link below.

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BigCommerce Deep Data example automations

Customizing product announcements

Managing product announcements can be tough to get right. If you don’t get new products often, it can be challenging to create a single value proposition that resonates with everybody. On the flip-side, if you get new products in stock very often, it can be difficult to announce new products without bombarding your contacts with products that aren’t relevant to them.

In this example, we will create several email templates depending on a contact’s most recent purchase. This is a way to spend a little time stretching the legs of a new product if you don’t introduce them often.

Think about other products that you currently offer, or have offered in the past, that are complimentary to the new product you are introducing. Write down 2-3 of them, and some draft copy for your new product. Customize the copy based on the previous products. For example: “I saw you recently ordered macaroni. Allow me to introduce Cheese!”

Create a new automation without a start trigger. Since this is a “one time automation” we are going to want to manually add all of our contacts to the automation once we are ready.

Using a series of IF statements, branch your automation based on the most recent purchase. You can do this as many times as you would like. You may end the automation after each email is sent.

Head over to your contacts list, and segment based on everybody with the “bigcommerce-customer” tag. Choose “Edit all” and add everybody to your freshly minted automation.

Everybody that matches a pattern based on the IF statements will receive a customized email based on their previous purchase history.

Import This Automation

Send a “thank you” postcard to your best customers.

The Pareto principle, commonly referred to as “the 80/20 rule” states that 80% of your revenue comes from the top 20% of your customers.

Acknowledging these customers through surprise and delight can go a long way in driving even more intimate brand loyalty. Sending a simple postcard is an easy way to show that you have noticed their frequent purchases, and that you appreciate them.

I can’t think of any other activity that can generate a higher ROI for your store.

This is a simple example, but will require a Zapier integration (or custom programming) in order to accomplish completely. If you want to avoid Zapier, you could accomplish the same thing by just sending a “Thank You” email and a coupon code.

To Start the automation, we will use a Trigger for whenever the “bigcommerce-customer” tag is applied. This tag is automatically created by the BigCommerce Deep Data integration whenever an existing contact makes a purchase, or if the contact is created by the integration.

That should capture anybody that is making a purchase in our store. The next step is to queue everybody up until they have spent over a certain threshold. For this example lets just say $500. Create a wait action with the criteria “Until specific conditions are met.” Set the condition to be when Ecommerce → Total Revenue is greater than or equal to 500.

Make sure the wait condition includes an “AND” operator for the contact’s street, city, state, and zip are all set (not ”).

Now head over to Zapier, and create a new Zap with a Webhook “Catch hook” trigger. Copy the URL that Zapier will give you.

Head back to the Automation you were building in ActiveCampaign and paste in the link provided to you by Zapier. Finish building your automation. To send a postcard choose Lob as the Zap action, and map all the fields from ActiveCampaign to the appropriate ones in Lob.

You could also send a T-Shirt or any number of other tokens of to show your appreciation.

Import This Automation

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