A timeless brand. Powered by modern marketing.

During the first phase of the engagement, we complete a comprehensive assessment of your lifecycle marketing. The goal isn't simply to redesign emails or improve open rates. We want to understand how email contributes to revenue, customer retention, lifetime value, and the overall customer experience, so every recommendation is tied back to business impact.

A look at Verve Culture's emails so far

We've already started reviewing your past emails from a creative standpoint. There are a couple hundred archived on milled.com/verveculture and we've been working through them. Without Klaviyo access we can't see the backend performance yet, so anything we'd say now is aesthetic-only. The real read comes once we're in the account. Tap any to view full size.

What You'll Receive

• Executive summary of findings
• Business-focused recommendations
• Benchmark comparisons
• Lifecycle roadmap
• Prioritized opportunities ranked by impact
• Implementation plan for the first quarter

Every recommendation is prioritized by business impact, helping us focus first on the opportunities most likely to improve revenue, retention, and long-term customer value.

Before we spend a dollar or ship a single new ad, we build a real picture of what's actually happening in the account. Most of what any agency has told you about performance is a partial view. We're going to correct that.

First, we get access and get grounded. Full audit permissions on Meta, Google, Klaviyo, and Shopify. Emily runs discovery calls with you and Sarah. Wes leads brand immersion with the creative team, working through your photography library, product priority list, and story arcs by culture (Morocco, Thailand, Mexico, India, Italy).

Then, Eric and the paid team reconcile the numbers. Meta reporting gets cross-checked against Shopify actuals, with wholesale channel data layered in. We build your true MER model against real unit economics. You get a clean north-star number, not the platform-reported fiction. Joey audits every ad currently live and delivers a kill list.

Next, we restructure the ad account itself. The way your account is set up matters more than most people realize. Campaigns need proper spend allocation, and ad sets need to be organized by creative type rather than audience (Andromeda changed that too). If we don't fix the structure first, no amount of new creative will perform. This happens fast, usually inside the first two weeks.

Then, first creative goes into production. Wes and the creative team ship the first batch of new work across your priority collections. Old ads sunset. Kill switches installed on stale campaigns. First testing wave begins under Andromeda.

Phase 2 is where the Andromeda engine goes to work at full speed. Rapid creative cycles, verdicts in hours, kill decisions same-day. This is the phase where your MER starts climbing.

The cycle itself. Brief on day one. Shoot midweek. Edit and design end of week. Live by cycle-end. As we learn what's hitting, batch sizes grow. Andromeda gives verdicts within 48 hours. Losers die. Winners iterate. Then we start the next cycle.

MER discipline. Weekly MER check. If we're above 7.5, we quietly open budget. If we're below, we do not lower spend first. We iterate creative faster. Spend only comes down as a last resort because scaling requires momentum you don't want to break.

Creative range expands. Once we've established a baseline, we introduce format tests: cultural storytelling reels, UGC-style from creators Amaya sources, static product hero moments, and lifestyle carousels. Each format tested against your baseline, only the top quartile scales.

Email and organic layer in. Klaviyo flows optimized against the winning ad angles so the whole customer journey stays consistent. Amelia's team runs organic in the same voice as the paid creative, so someone who lands from an ad and clicks to Instagram sees the same brand energy.

Once MER holds at target for a few consecutive cycles, phase 3 begins. This is where budget expands, formats amplify, and we start layering in the growth vectors that only make sense when the foundation is stable.

Budget scaling. As MER earns above 7.5, we propose incremental spend increases in defined tranches. Every increase gets its own performance review. If the added spend degrades MER below 7, we pull back and iterate. You approve every scale step. Nothing surprise-happens on your card.

Format amplification. Winners go multi-audience, multi-format. A creative that hits with Morocco enthusiasts gets tested against Italian food buyers. A UGC piece that wins on Reels gets rebuilt for TikTok Spark Ads.

New platform tests. Reddit for the niche home-goods communities. Pinterest for high-intent gifting. Google Shopping expanded past current SKUs. Each new channel gets a defined test budget and a kill date if it doesn't earn.

LTV work. First-purchase acquisition is one lever. Second purchase and repeat rate are bigger ones. We build post-purchase flows, sampling programs, and category cross-sell campaigns to compound the MER we've already earned.

Quarterly with Andrew. Every quarter, Andrew joins a working session with you, Sarah, and the account team. MER trajectory, strategic direction, upcoming risks, and where the next 12 months should point.

ROAS lives inside one platform. MER lives across your whole business. When someone sees your ad on Instagram, googles Verve Culture, then buys through Bloomingdale's drop-ship, ROAS shows nothing. MER catches it. That's why we anchor to MER and let ROAS play a supporting role.

MER = Total Revenue ÷ Total Marketing Spend

Calculate your target MER

Your target MER isn't a guess. It's math against your unit economics. Adjust the numbers below to see what your target looks like based on your actual costs. Everything recalculates as you type.

Anything below your target means you're funding growth from your own margin. Anything meaningfully above it means you're leaving demand unclaimed. That's the whole conversation, in one number.

How to use MER as your north star

How we'd manage MER for Verve Culture

Month one is a baseline. We reconcile Meta reporting against Shopify actuals, layer in wholesale attribution, and lock in your true MER. We set your target at 7.5 based on the math above. Weekly, we watch trend. When we cross above target, we open budget. When we drop below, we iterate creative before we touch spend. Spend only comes down as a last resort, because scaling requires momentum you don't want to interrupt.

Andromeda is the AI engine behind Meta ads right now. It's the algorithm that decides who sees what. Late 2025 and early 2026 changed everything for Meta advertising.

Before this shift, running Meta ads meant picking who to target. You'd choose age ranges, interests, income brackets, zip codes. You'd upload email lists, build lookalike audiences, layer in the pixel. The creative was decoration. The targeting was the strategy. That's still available inside Meta. It's just dumb to do now.

Andromeda flipped it. The AI now finds the audience using tens of thousands of data points you don't need to configure. It looks at signals like "I bet this person wants to buy a surfboard tomorrow, and this company sells surfboards, let me connect them." It doesn't need you to tell it whether the buyer is male or female, what they make, where they live. That's the guessing game the old model made you play. Andromeda skips it.

The AI learns from the creative, not the targeting

If we sell wake surfboards for young guys, we don't tell Meta to target 17-24 year old males. We put a 19-year-old dude on a wake board on a lake in the ad, and Andromeda reads the image and figures it out. Guy on a board, water, boat wake, warm environment. It targets accordingly. This is why bad creative doesn't just underperform now, it actively mistargets.

We had a cornhole brand where a model happened to be wearing a fishing brand shirt in one ad. Andromeda targeted fishermen for two days before we caught it. Your creative brief is now your targeting brief.

The three signals every ad must send

To make Andromeda work for you, every creative has to answer three questions in the first three seconds:

1. It's for me. The viewer needs to recognize themselves in the ad. Real people, matching environment, correct life stage.
2. I know exactly what this is. Meta needs to categorize the product correctly. If it's a hand-blown glass, show it being used as a glass. If it's a Moroccan basket, show it doing what a basket does.
3. I trust this brand. Production quality, real customers, credentials, awards. Trust isn't one format, it's a signal. Andromeda reads engagement as quality and expands delivery.

Where accounts break: budget allocation

The other Andromeda shift most agencies miss is how the ad account itself is structured. Every account has three levels: campaign, ad set, ad. Think of it like folders inside folders. Before Andromeda, budgets were set at the campaign level and ad sets were audience-based. That's now backwards.

The right way now: ad sets get organized by creative type (B-roll videos, statics, carousels, before-and-afters), and budgets get set at the ad set level, not the campaign level. That lets you test creative types head-to-head without Andromeda cannibalizing the budget onto whatever it decided was "the winner" 20 minutes into the campaign. The DECOtv account you saw earlier was a case study in this: their old agency ran everything at campaign level and Andromeda kept pouring spend into one creative before others could prove themselves. Restructuring the account was the single biggest change that turned it around.

You mentioned your current agency protects certain ads because they've accumulated engagement (comments, likes, shares). That logic worked in 2023. It costs you money in 2026.

Under Andromeda, every ad has a natural performance ceiling of about four to six weeks. After that, the AI has already found and served the audience most likely to convert on that specific creative. Continuing to run it means Meta is showing it to progressively colder audiences, and your ROAS falls off the cliff you see in the chart below.

The comments and engagement on those old ads aren't wasted. We can seed them into new creative through UGC-style formats. But protecting the ad itself past its performance window is the reason your account is stuck.

Your current agency told you your budget is too small to iterate aggressively. Here's the math they were using: with $10K spread across six ads, each ad gets ~$1,600 to prove itself, which isn't enough signal. So you stick with the two that seem to work.

That logic assumes the six ads are all you're testing. The new model tests thirty to fifty at once, spends $200-400 on each, and lets Andromeda tell you within 48 hours which ten to double down on. The other twenty get killed. Two weeks later, another thirty. That's the cycle.

Your aesthetic doesn't break in this model. It gets refined by it. We start every cycle with a brief locked to your brand guide, and everything shipped stays inside it. What varies is angle, format, hook, and hero, not tone.

The brand. DECOtv Frames sells hand-finished frames for The Frame TV. Design-first, considered purchase, aesthetic buyer. Not a Verve Culture product, but a Verve Culture customer.

The setup. Down 23% year over year when they came to us. Previous agency had blown Meta compliance, ad account restricted, revenue tanking through spring.

What we did. Ran an emergency creative sprint. Shipped 100 pieces of ad creative in eight hours. Restarted the account cleanly, seeded Andromeda with a full range of angles, formats, and hero products. Killed 70% within the first week, scaled the 30% that hit.

The four-day campaign. Same budget as the prior year's version of the same seasonal event.

"Cyclone pulled a rabbit out of a hat. I thought Meta was never going to turn back around and they proved me wrong."

ROD MCKENZIE, CMO, DECOTV FRAMES

Why the pattern maps to Verve Culture. Same demographic (aesthetic-driven, higher income, considered purchase). Same "beautiful brand that has to stay beautiful" constraint. Same starting problem: creative volume was the bottleneck, not budget.