You should not have to manage this day to day. Our role is to run a system that makes performance clear, scalable, and consistent across Meta and lifecycle.
We spent real time going through the account, structure, creative, and lifecycle in detail. There is a lot here that is working, and there are also some clear opportunities to tighten things up and get more out of what is already in place.
You will see all of that laid out in this proposal. We kept it focused on what actually drives the business forward.
If we have the chance to work together, you will be working with a team that takes this seriously. We stay grounded in the data, we focus on outcomes, and we put real care into the work.
Thank you again for considering us.
The brand is real, the demand is there. What is limiting performance is not the product. It is the infrastructure built around it.
Strong product and real demand. 140K+ followers, $425 AOV, and a sample program competitors cannot replicate.
Testing is happening, but not producing clear learnings. Most creative variations test minor changes within the same concept rather than meaningfully different ideas.
Structure is limiting scale. Fragmented campaigns, audience overlap, no retargeting, and lifecycle flows not yet firing at full capacity mean performance cannot improve efficiently under current conditions.
This is not a demand problem. It is a system clarity problem.
So data can consolidate and learning can happen faster.
Not just small variations. Each test should isolate a different angle, not just a different version.
And long-term sequencing, not more volume.
To capture demand that is currently being generated but lost at the bottom of the funnel.
One system. Shared signal. Shared accountability. Paid, creative, and lifecycle running together, not as three separate programs.
We are not trying to test more. We are trying to learn faster.
Meta's performance is now driven by creative signal. That is why testing is structured around different ideas, not just different versions. Our job is to identify what actually works and scale it fast.
Rebuilt around how Meta works today.
The primary campaign runs at roughly $2,000 per day across 19 ad sets with overlapping audiences. Consolidating concentrates spend above the signal threshold Andromeda needs. Retargeting and DPA capture the warm demand prospecting is generating but not closing.
Lifecycle is not an add-on. It is a core revenue driver in this system.
We start by improving the conversion layer inside the flows that already matter most. That means stronger first-touch abandonment emails, cleaner calls to action, better product framing, and structured testing that helps us learn what actually moves someone to buy. The Sample-to-Frame flow at $205K all-time remains a protected asset through any transition.
Reporting built around outcomes, not platform metrics.
The goal is more total revenue at the same CAC. Monthly meetings are led by Emily. We translate the data and tell you what it changes about next month. No dashboard handoffs. No slides for the sake of slides.
This only works if all three parts are connected. Otherwise, performance becomes fragmented.
Fix structure before scaling anything.
Find what actually drives performance.
More behind what the data confirms.
Strengthen what is working. Expand LTV.
This is an active system. We are not setting and waiting.
You are not managing us. You are approving direction and staying informed.
“It never felt like we hired an agency. It felt like we added an in-house marketing team that actually drives things forward.”
This is a hands-on system built specifically for Frame My TV — across paid, creative, and lifecycle. The goal is to improve efficiency and scale without adding complexity to how you operate.
Media spend is managed directly through your ad accounts for full transparency. This ensures you maintain full control and visibility at all times.
Total with organic: $14,000/month
Ad spend is separate and passes directly to Meta. We recommend maintaining current spend levels during the rebuild phase, then scaling incrementally once retargeting audiences develop.
Andrew leads strategy. Eric owns paid. Emily is your day-to-day contact. Everyone else runs a defined part of the system. Select anyone to learn more.
Seven Sons Farm is a premium direct-to-consumer brand with a loyal customer base and a product that earns strong reviews. The business was growing, but the cost to acquire customers was creeping up and the paid and lifecycle channels were operating independently with no shared signal.
We treated this like a system, not a campaign.
Hundreds of creative iterations, each built to answer a specific question about what drives performance.
This increased repeat purchase rate and strengthened LTV without relying on discounts at any stage.
“It never felt like we hired an agency. It felt like we added an in-house marketing team that actually drives things forward.”
The detail behind the diagnosis. Each section follows the same structure: what it looks like, what is actually happening, and why it matters.
Testing is happening, but it is not producing clear learnings. Most creative variations are small changes within the same idea, which makes it difficult to understand what is actually driving performance. As a result, Meta is not getting strong signals, and performance becomes inconsistent.
This makes it harder to scale efficiently and identify what should be doubled down on. Without clear signal, budget increases will produce diminishing returns.
Lifecycle is doing part of the job today, and the foundation is stronger than most accounts at this stage. Core flows are in place, SMS is active, and the Sample-to-Frame sequence is a real competitive asset.
The opportunity is not adding more volume. It is improving how the key emails convert once opened, especially in the high-intent moments where customers are actively deciding.
Abandoned cart is one of the most important moments in this account, but the opportunity is not simply having the sequence live. It is improving how the first email performs. Right now, later cart emails appear to do more of the closing than the first touch, which usually means the initial message is not doing enough to drive action. That is the kind of low-hanging improvement we would attack first.
The gaps are identified. The plan is clear. The only variable is when we start.