Case Study Walkthrough — https://youtu.be/JmpAeXZOh9c
Gravity Transformation Klaviyo
Live Klaviyo dashboard walkthrough — campaigns, flows, open rates, and how the full system is structured
Certified Expertise

The credentials behind managing a list this size.

Managing 2.5 million email subscribers requires certified knowledge of deliverability, segmentation, and lifecycle strategy. A single bad send to this list can damage sender reputation for weeks.

Klaviyo Certified Professional
Platform strategy and execution
Klaviyo Deliverability Certified
Inbox placement at scale
12+ Email Certifications
Marketing, automation, CRM
The Client

One of the biggest fitness brands on YouTube. A list most email tools were not built for.

Gravity Transformation is a men's fitness and fat loss brand with 5 million YouTube subscribers and a $30,000 monthly ad budget. Their email list of 2.5 million subscribers was built over years of content and paid acquisition — making it one of the largest independently managed fitness email lists in operation.

The challenge is not sending emails to a list this size. The challenge is keeping the list healthy, the segments precise, and the messaging relevant enough that 2.5 million people actually open it. That requires a different level of system thinking than most email setups ever encounter.

Brand Scale at a Glance
📺
YouTube Subscribers
5 million followers on their main fitness channel
5M
📧
Email Subscribers
Active list managed inside Klaviyo
2.5M
💰
Monthly Ad Spend
Paid acquisition feeding the email list
$30K/mo
📬
Daily Email Opens
5,000 to 12,000 opens every single day
40% OR
The Work

What managing this list actually involves day to day.

This was not a set-and-forget engagement. It was an ongoing operation — campaigns planned and sent three times a week, flows monitored and optimised, and list health actively managed to protect deliverability across 2.5 million contacts.

📊
Campaign Management — 3 times per week
Planned, wrote, and sent email campaigns three times every week. Each campaign was segmented to the right audience, A/B tested on subject lines, and reviewed for performance before the next send. No campaign went out without a clear goal.
🔀
40+ Automated Flows Running Simultaneously
Built and maintained over 40 Klaviyo flows targeting different stages of the customer journey — welcome, purchase, webinar, upsell, downsell, winback, re-engagement, and more. Each flow had its own trigger logic, timing, and messaging.
🎯
Segmentation and List Hygiene
At 2.5 million contacts, sending to the wrong segment is expensive. Built and maintained precise segments by purchase behaviour, engagement level, content interest, and lifecycle stage. Suppressed unengaged contacts through sunset flows before they damaged deliverability.
🧪
A/B Testing on Every Campaign
Every campaign included at least one A/B test — subject lines, send times, content angles, or CTA copy. Results were documented and applied to the next send. Over time this compounding improvement is what drives an 40% open rate on a cold list.
🛡️
Deliverability Monitoring
Monitored bounce rates, spam complaint rates, and open rates per segment daily. Any degradation in deliverability metrics was caught and investigated before it affected the broader list. Kept the list healthy for the long term, not just the next send.
Flow Architecture

A sample of the 40+ customer journeys built.

Every subscriber at every stage of their journey had a relevant, behaviour-triggered flow waiting for them. Here is a sample of what was running simultaneously.

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Welcome Series
Multi-step onboarding by acquisition source — ad, organic, YouTube — each with different messaging and entry points.
Acquisition
🎥
Webinar No-Show Recovery
Registered but did not attend — replay delivery, re-engagement sequence, timed offer at peak urgency.
Conversion
🛒
Post-Purchase Onboarding
New customer welcome, product access, usage guidance, and upsell introduction at the right moment.
Retention
⬆️
Upsell & Downsell
Viewed but did not buy triggers downsell. Purchased triggers next tier upsell at the right moment.
Revenue
🔄
Re-engagement & Sunset
90, 120, and 180-day inactive contacts — re-engagement attempt before permanent suppression to protect deliverability.
List Health
🏆
VIP & Loyalty
High-frequency buyers moved into a separate journey with exclusive content and early access offers.
Loyalty
🛍️
Browse Abandonment
Visited a product page but did not purchase — timed reminder with social proof and urgency.
Conversion
💬
Winback
Past buyers who had not purchased in 90+ days — targeted winback based on previous purchase history.
Revenue
The Results

What the numbers behind this account actually show.

Industry average for email marketing open rates is 20 to 25%. The open rate on this account was not the result of a good subject line on one lucky send. It was the result of consistent segmentation discipline — every campaign went to a highly engaged segment, unengaged contacts were suppressed, and the content was relevant enough that people looked forward to receiving it.

Open Rate — This Account vs Industry
40%
This Account
This account
40%
Fitness industry avg
24%
Email marketing avg
21%
"Retention and segmentation are what drive revenue from a large list. Getting the right message to the right person at the right time — that is what keeps subscribers buying, not just opening."
— Sheik Oli, Klaviyo Certified Professional
The Key Insight

What managing 2.5M teaches you that smaller lists cannot.

Most email marketers have never worked above 100,000 contacts. The challenges at 2.5 million are categorically different — not just bigger versions of the same problems.

At this scale, segmentation is not optional — it is survival. Sending the same email to 2.5 million people regardless of their engagement history, purchase behaviour, or content preferences will collapse deliverability within months. The 40+ flows were not built for personalisation as a feature. They were built because without them, the system breaks.

The A/B testing discipline matters too. Three campaigns a week across 40+ flows generates enormous amounts of performance data. Every campaign was reviewed, every test was documented, and every insight was applied to the next send. Over time this compounds — the system gets more effective with every week it runs.