How We Built ProducerGrind a Full-Funnel Email Automation System to Monetize Store Traffic

ProducerGrind is one of the most respected brands in the producer community, known for content, kits, events, and courses that have helped thousands of music creators grow. They already had a strong brand and had seen success with email campaigns, but their automations were limited—only a single abandoned cart flow was in place.

They came to us to expand their email system beyond one-off blasts and into a revenue-generating, behavior-based flow infrastructure—something that could run in the background and convert traffic without needing constant effort.

Project Snapshot

The goal here wasn’t to reinvent ProducerGrind’s strategy—it was to build a system that could scale what was already working.

They had a huge product catalog, a ton of web traffic, and a strong community.

But there were no automations in place to:

• Capture leads with real incentives

• Turn browsing activity into sales

• Re-engage customers after purchase or inactivity

We stepped in to build that foundation—a set of evergreen flows that could turn store visitors into buyers and buyers into repeat customers.

Goals Summary

Our goal was to build a scalable email automation system that could turn passive store traffic into conversions—supporting ProducerGrind’s campaign-driven strategy with flows that engage, recover, and convert customers automatically.

🎯 Goal 1: Install a lead magnet + welcome flow to capture and convert new subscribers

🎯 Goal 2: Create behavior-triggered flows for on-site activity, browsing, and cart abandonment

🎯 Goal 3: Introduce winback logic to reactivate churned or inactive buyers

🎯 Goal 4: Set up the foundation for scalable automation tied to store behavior

Execution Summary

ProducerGrind had already built a strong reputation when it came to email campaigns—they could drive traffic, launch products, and create hype effectively. But when it came to eCommerce automations, there was a major gap: once traffic landed on the store, there were no systems in place to capture, nurture, or recover users who didn’t immediately purchase.

Our goal was to fill that gap by building the automation foundation:

• While campaigns could create short-term spikes, automations would capture ongoing, day-to-day opportunities across the entire store.

• For example, if ProducerGrind sent a campaign highlighting best-sellers and drove hundreds of visitors to the site, there were no abandonment flows to re-engage users who got stuck at the product page.

• We built flows to catch drop-offs at every critical point—product view, cart view, checkout abandon—ensuring the customer journey didn’t end just because the first visit didn’t convert.

By bridging this gap, we made sure that ProducerGrind’s strong traffic and brand equity could compound into higher conversion rates, better customer retention, and more consistent revenue—without needing extra manual effort.

Welcome Flow with Lead Magnet Incentive

But instead of just collecting basic contact information, we went a step further:
➔ Along with the user's name and email, we also asked what type of sounds they were primarily looking for (e.g., drums, loops, MIDI packs).

This additional question allowed us to immediately segment new leads based on interest, setting up a much more personalized experience right from the start.

• For example, if someone indicated they were looking for drums, the emails they received would feature the best drum kits, bulk deals on drums, and product bundles related to that category.

• If they chose loops, their Welcome Flow emphasized loop kits and sample libraries.

Why does this matter?

For a smaller brand, this level of segmentation might be overkill. But with a high-volume brand like ProducerGrind, the ability to personalize the first customer touchpoints at scale meant better engagement, stronger initial conversions, and a better customer journey from day one.

This was the entry point to a high-converting welcome flow, built to introduce ProducerGrind’s brand, explain the value of their products, and guide users to make a purchase using their welcome discount.

This flow acted as a frontline lead conversion tool and allowed ProducerGrind to capture traffic that previously would’ve bounced without ever opting in.

Behavior-Based Abandonment Flows

With the welcome system in place, we then installed on-site behavior flows to catch users at critical points in their shopping journey. These included:

• Active on-site abandonment: for visitors who stayed engaged but didn’t buy

• Browse abandonment: for users who viewed product pages without adding to cart

• Cart abandonment: optimized sequence for those who initiated checkout but didn’t complete it

Even within the cart abandonment flow—one of the highest-converting automations—we went the extra step of segmenting between non-customers and returning customers.
This allowed us to send more targeted messaging based on their history:

• For first-timers: heavy focus on incentives and trust-building

• For returning buyers: loyalty-based messaging and reminders of past satisfaction

This simple segmentation creates a personalized experience that feels less like a mass blast and more like a thoughtful, direct conversation—boosting conversion rates and deepening brand connection even within automations.

As you can see these flows used tailored copy based on where the user dropped off and included time-based send logic to catch people while the product was still top of mind.

Post-Purchase & Winback Automation

After purchase, we implemented a customer loyalty flow focused on education, upsells, and thanking buyers for their support. This built a longer-term relationship and increased the odds of a second purchase.

We also added a winback automation targeting customers who hadn’t bought in 30+ days, with personalized reminders, reactivation offers, and dynamic content based on previous purchases.

Results Summary

The impact of installing a real automation system was clear almost immediately.

Key Metric 1

Achieve a 12% opt-in rate on the new welcome pop-up, significantly outperforming standard benchmarks for similar e-commerce setups.

Key Metric 2

Capture and segment new leads effectively by collecting sound preferences alongside email and name

Key Metric 3

Recover abandoned sales across product browsing, carts, and checkout with dynamic, behavior-driven flows

Key Metric 4

Strengthen loyalty and repeat purchases by personalizing offers based on what customers were actively looking for

Key Metric 5

Build a scalable backend system that supported ProducerGrind’s strong campaign-driven model with passive, automated revenue