Drip for BigCommerce: The King of Advanced Segmentation

Quick Verdict: Drip is the best email marketing automation tool for BigCommerce merchants who are tired of “batch and blast” and want to treat customers like individuals. It is not the cheapest option, and the learning curve is steeper than Mailchimp, but the revenue capability is unmatched for stores generating over $50k/year.

Best For: E-commerce brands with 500+ SKUs or high repeat-purchase potential.

Avoid If: You are a solopreneur selling a single digital product or a hobbyist store with low traffic.

Most BigCommerce store owners are lazy marketers.

I don’t say that to be mean. I say it because I look at audit logs all day. Most merchants sync their store to a cheap email tool, set up a generic “Welcome” discount, and then blast their entire list once a week with a newsletter that 99% of people delete.

If that sounds like you, you are burning money.

When you run a BigCommerce store, your biggest asset isn’t your product; it’s your data. You know what they looked at, what they bought, when they bought it, and how much they spent.

Drip is the tool that lets you actually use that data.

I’ve spent the last three years migrating clients from legacy platforms to Drip. It is not perfect—and I will be radically honest about the bugs below—but if you want to move from “sending emails” to “automating revenue,” this is the tool.

The BigCommerce Drip Integration: The Good, The Bad, and The “Variant” Headache

Connecting Drip to BigCommerce is technically easy. You click a button, log in to your BigCommerce backend, and the data starts flowing.

Drip pulls in historical data, which is massive. If a customer bought from you two years ago (before you even had Drip), Drip sees that.

But, let’s talk about the reality of migration, because marketing brochures never tell you the painful parts.

The “Variant Image” Mismatch

When I migrated a major client from Mailchimp to Drip last year, we hit a wall that nearly derailed the project. Mailchimp treats products simply. Drip tries to be hyper-specific, and sometimes it chokes on BigCommerce’s complex product architecture.

Here is the scenario: We had a client selling apparel. A customer would add a Blue T-shirt to their cart and abandon it.

The Drip abandoned cart workflow would trigger. But instead of showing the Blue shirt the customer actually wanted, the email dynamically pulled the “Parent Product” image—which happened to be the Red shirt.

The Experience:

It seems like a small detail, but in e-commerce, visuals are trust. If I cart a blue shirt and you email me a red one, I subconsciously feel like your system is broken.

We found that this visual disconnect lowered our click-through rates. To fix it, we couldn’t just use the drag-and-drop product block. We had to dig into the HTML of the email template and write custom Liquid code to force Drip to fetch the variant image ID rather than the parent image ID.

The Lesson: Drip is powerful, but be prepared to get your hands dirty with code (or hire a developer) if you have complex product variants.

Advanced Segmentation: How to Actually Make Money

This is why you buy Drip.

Most tools allow you to segment by “Opened Email.” Who cares? Opening an email doesn’t pay the bills. Drip allows you to segment by behavior.

Here is a specific, high-ROI segment logic I used recently that you can steal. We call it the “Category VIP Defector.”

The goal was to reactivate high-value customers who loved a specific product line but had gone cold.

The Logic We Built:

1. Trigger: Placed Order frequency is greater than 2 (They are repeat buyers).
2. AND Filter: Ordered Product Category includes “Anti-Aging” (Specific Interest).
3. AND Filter: Last Placed Order was > 60 Days ago (They are slipping away).
4. AND Filter: Site Visit has occurred in the last 14 Days (They are lurking but not buying).

Why This Prints Money:

Most stores send a generic “We miss you” coupon to everyone who hasn’t bought in 60 days. That is lazy.

With this segment, we sent a specific email saying: “We noticed you haven’t restocked your Night Cream recently. Here is 10% off your next skincare refill.”

Because we knew they had visited the site in the last 14 days (lurking), we knew they were thinking about it. We just gave them the push. This specific segment converted at 3x the rate of our generic win-back campaigns.

The UI Reality Check: “Goals” vs. “Triggers”

Drip’s Visual Workflow Builder is beautiful. It looks like a colorful flowchart. But if you are coming from Mailchimp or Constant Contact, it will confuse you.

The biggest point of frustration for me—and every client I train—is the concept of “Goals.”

In most tools, you build a linear path:

Email 1 -> Wait 2 Days -> Email 2 -> Wait 2 Days -> Email 3.

In Drip, you have a “Goal” node. A Goal pulls a user out of their current spot in the workflow and skips them ahead to the Goal, regardless of where they are.

The Mistake:

Early on, I accidentally “broke” a workflow for a client. I put a “Made a Purchase” Goal at the very bottom of a 5-email nurture sequence.

I didn’t realize that if a user bought the product after Email 1, the “Goal” would activate, and they would instantly skip Emails 2, 3, and 4 to reach the bottom.

The Experience:

It was terrifying. I saw contacts “disappearing” from the middle of the workflow. I thought the system was deleting leads.

In reality, the system was working perfectly—you should stop selling to someone once they buy. But the UI doesn’t make this intuitive. You have to learn to think non-linearly. If you aren’t careful, you can accidentally bypass crucial content for your users.

The Results: Does It Actually Work?

Features are nice, but metrics matter.

Here is the “Before and After” from a recent BigCommerce client we moved to Drip.

Before (Mailchimp):

The client was using the “Batch and Blast” method. Every Tuesday, everyone got the same email.

• Revenue Per Recipient (RPR): $0.08

After (Drip):

We implemented behavioral tagging. If a user clicked a link about “Men’s Boots” in a newsletter, they were tagged Interest: Men’s Boots and entered into a specialized nurture flow just for boots.

• Revenue Per Recipient (RPR): $0.27

The Takeaway:

We didn’t just increase open rates (which went from 20% to 28%). We tripled the revenue generated per email sent. Why? Because the content matched what the user was actually looking at on the BigCommerce site.

What You Actually Get at Each Price Point

Drip’s pricing is based on list size. There are no “hidden” features locked behind Pro plans. You get all features (automations, analytics, integrations) on the base plan.

• 0 – 2,500 Contacts: ~$39/mo. Great for validation. You get full access to the workflow builder.
• 2,501 – 5,000 Contacts: ~$89/mo. This is where most growing stores sit.
• 5,001 – 10,000 Contacts: ~$154/mo. At this level, if you aren’t using segmentation to generate ROI, the bill will start to hurt.

Note: Drip counts active people. If someone unsubscribes, you stop paying for them. This is fair, unlike some competitors who charge for unsubscribed contacts until you manually delete them.

Pros & Cons

Who Is It Really For?

Best For:

• Scaling E-commerce Brands: If you are doing $50k+ in annual revenue, Drip pays for itself in one month.
• Data Geeks: If you want to know exactly which customer bought what product after clicking which link.
• Agencies: Managing multiple BigCommerce stores is easy via the partner portal.

Who Should AVOID It?

• Content Bloggers: If you just want to send a newsletter, Drip is overkill and too expensive. Use ConvertKit.
• Affiliate Marketers: Drip is strict about affiliate marketing links. They will ban you if your list quality is low.
• Total Beginners: If you have never built an email automation before, the interface might overwhelm you.

5 Steps to a Successful Launch Drip for BigCommerce

Don’t just sign up and stare at the dashboard. Follow this plan.

1. Clean Your Data: Before migrating, export your BigCommerce customers and delete anyone who hasn’t opened an email in 6 months. Do not bring dead weight into Drip; it costs money.
2. Connect BigCommerce: Use the native integration. Let it sync for 2 hours to pull all historical purchase data.
3. Build the “Welcome” Flow: Create a workflow triggered by “Subscribed to List.” Offer a discount code.
4. Fix the Variant Issue: If you sell apparel, test your abandoned cart email immediately. If the wrong image shows up, hire a freelancer to fix the Liquid code snippet.
5. Set Up the “Category VIP” Segment: Copy the logic I shared above. Turn it on and watch the sales recover.

Final Verdict

Drip is not the easiest tool to use, but it is the most profitable for BigCommerce stores. The ability to segment based on “Site Visits” + “Purchase History” is a superpower.

If you are serious about e-commerce, buy it.

Next Step: Would you like me to draft the specific “Liquid Code” snippet examples you might need to fix that variant image issue?

FAQ: Drip for BigCommerce

1. Does Drip slow down my BigCommerce site?

No. The integration happens via API on the backend. The only thing loaded on your site is a small JavaScript tracking snippet (like Google Analytics), which has a negligible impact on load speed.

2. Can I use Drip for SMS marketing too?

Yes, Drip has added SMS. However, check the pricing per segment. For very high-volume SMS, a dedicated tool like Postscript might still be cheaper, but Drip is convenient for keeping everything in one workflow.

3. Is it hard to switch from Klaviyo to Drip?

The logic is similar, but the terminology is different. Klaviyo uses “Flows,” Drip uses “Workflows.” The hardest part is migrating your email templates. You will likely have to rebuild your designs from scratch in Drip.

4. How does Drip handle “abandoned carts” differently than BigCommerce’s built-in tool?

BigCommerce’s built-in tool is basic—usually just one email. Drip allows you to send a sequence. For example: Email 1 (1 hour later), Email 2 (24 hours later with a coupon), Email 3 (48 hours later, urgent reminder). This multi-step approach converts much higher.