Proposal · May 2026 · Prepared for Michael Ambartsoumian

A Meta creative machine,
built for

You've got a 10x ROAS on a few hundred bucks a month, an in-house graphics team that ships, and a category where your competitors have walked off the platform. The bottleneck is creative volume. Different angles, different personas, enough net-new concepts every week to actually let Meta learn. That's exactly what we make.

Meta-only creative B2B + DTC split funnel aware Net-new concepts, not variations Delivered weekly
One concept per $1K of Meta spend. That's the math.
Book a 30-min call → See all 14 ads
The Frost Test, CryoSTUCK macro
Three years at -80C, handwriting annotation
Patented, type-only
Pathology lab use case quote card
Before and after autoclave
Field biology UGC TikTok
14 SHIPPED FOR LABTAG
What we heard on the call

A specialist niche, an open lane, and a creative bottleneck.

Quick recap of where you said you are. so you know we were listening, and so the rest of this proposal traces back to something concrete.

01

Niche specialist position with no comparable rival on Meta.

Cryogenic, autoclave, chemical-resistant labels. That's not a category Meta is saturated with. The label companies that exist aren't in your specialist niche, and the ones nearby aren't running on social anymore.

"Our competitors are not on social. They've completely given up. Thank god for us."
02

The early Meta data is real. The scaling lever isn't budget yet; it's creative.

$8K spent, ~$200K reported over six months. Even with the duplicate-conversion caveat halving it, it's a strong signal. You're being deliberately cautious on budget. The thing standing between cautious and confident is enough creative variety to feed Andromeda.

"I'm willing to increase this quite a lot. And I think we're just missing creatives, to be honest."
03

An in-house team that ships, but can't ship at the cadence Meta now demands.

Your in-house graphics team is doing real work. They're not the problem. The problem is that Meta rewards creative diversity at a volume that no single internal team can produce on top of everything else they own. We sit beside them, not on top of them.

"We have an in-house graphics team. We've worked with externals as well."
04

One website, two jobs: e-commerce checkout and B2B lead capture.

Most LabTAG revenue comes from traditional purchase, not the cart. The site has to do double duty as a lead-capture surface for B2B and a checkout for DTC. That tension shapes the creative: listicles, education-first formats, and split funnel logic from the start.

"Most of it is through traditional purchase. Our goal on the website is not only e-commerce, but also lead capture."
Where you are

Strong signal. Cautious spend. The next move is creative volume, not a bigger budget.

You're spending a few hundred a month on Meta with a 10x ROAS reported (caveat: the duplications). Cut it in half and it's still a result that says keep going.

Your media buyer is being conservative on the scale-up. Reasonable. The unlock isn't pushing him to spend faster. It's giving him enough varied creative that scaling up has somewhere to land.

Your worry: "our niche is so niche and our personas have so many sub-personas." True. The good news is that's a feature for a creative-diversity machine, not a bug. Sub-personas are exactly what we'd be testing into.

What we'd ship

A creative-diversity machine, scaled to where you actually are.

Round one is a 14-ad spec slate, already built. First-pass Meta concepts mapped to LabTAG personas, angles, and emotions. From there, the cadence scales with your spend. One new net concept per $1K of monthly Meta spend is the floor we build around.

01

14 spec ads. First pass, already drafted.

Real product, real palette, real LabTAG voice. Built across the core ad formats: feature/benefit, before/after, headline, social proof, founder-style, listicle hook, negative-marketing, offer. A demonstration of what the machine produces, not a finished campaign.

02

Persona-angle-emotion tagging on every ad.

Every concept tagged on the way out the door. Scientist persona vs. lab manager persona vs. procurement persona. Performance angle vs. trust angle vs. specialist-vs-generic angle. So when something works, you know which lever moved it, and which neighbor to test next.

03

A cadence that scales with your Meta spend.

Today it's a starter slate of 4 concepts/week, calibrated for the $700 to $2K/mo spend range you're in. As the budget grows past $5K/mo, the package upgrades and the volume goes with it. You don't pay for more creative than your spend can absorb.

The offer

$4K base. Pick the add-ons that fit.

One base price for the creative engine. Two stackable add-ons for the buying side. Check what you want, see your all-in.

THE BASE

Creative

$4,000 / month
  • 8 net-new static concepts per week, delivered weekly
  • Persona, angle, emotion tagging on every concept
  • Built on your product renders, brand palette, LabTAG voice
  • Iteration work included. Winners get re-cut, hook-swapped, neighbor-tested.
  • Shared access to the AdLib gap analysis and Iteration Tracker dashboards.
  • Month-to-month, no minimum term.
Always included
Your all-in
Creative base only.
$4,000 / month
The process

Two proprietary tools sit behind the pipeline.

You saw the AdLib analysis on the call. It's the part that turns "make more ads" into something that compounds. The flywheel is the second tool: every shipped concept gets tagged, watched, iterated.

1
AdLib

Gap analysis on the LabTAG account and the lab-label category.

We pull your full Meta ad history, every relevant competitor (and there is open ground here, your competitors are not on social), every customer review and sub-persona note, and the LabTAG product taxonomy. Each ad gets tagged by persona, angle, emotion, and format. Output: where you are over-indexed (trust, performance), where the category is, and where the open lanes sit (negative marketing, founder-style, listicle hooks for B2B education).

2
Iteration Tracker

Account intelligence dashboard, shared with your team and your media buyer.

Persona × angle × emotion performance mapped to spend. Circle size equals dollars. You see which sub-personas have been under-tested, which winning combinations have stalled, what to scale next, what to retire. Your media buyer logs into the same view we do. The B2B + DTC split funnel reads cleanly side by side.

3
AI + Human Loop

Concepts generated against the gap, reviewed, polished, shipped.

Briefs derive from the AdLib gap and the Iteration Tracker history. AI produces a first pass against your real product renders, your wordmark, your palette, your voice. A human strategist reviews. An editor cleans. Brand-fidelity gates run on every concept (no banned words, no fabricated stats, no off-brand imagery) before it reaches your team. No AI slop ships.

4
Flywheel

Everything shipped gets tagged, watched, iterated.

When a concept scales, we double down on the combination: neighbor persona, swapped hook, before/after recut. When one fatigues, we know which lever to swap. The competitors-not-on-social position keeps widening as your library compounds. That iteration work is included; it does not add to the fee.

Reporting and access

You see what we see.

The dashboards are the part that sticks. Share them with your in-house graphics team, with your media buyer, with anyone you want pointed at the same map. Microsoft Teams channel, not Slack, per your request.

Weekly delivery

8 net-new concepts land in your Teams channel every week. Tagged files, concept notes, placement suggestions. No approval gate, no review call.

Full dashboard visibility

Persona × angle × emotion performance, spend-weighted. Cluster mapping. Where to double down, where a sub-persona has been under-tested. Always-on, shared with you and your media buyer.

AdLib gap analysis

LabTAG benchmarked against the lab-label category. Where you are over-indexing on format, where the white space is, where the cryo + autoclave + chemical-resistance angles can stretch. Refreshed as new competitor ads surface.

Iteration Tracker

Live view of everything shipped, tagged PAE, scored by performance. Your media buyer has the same map of what is working that we do.

Kickoff

Six weeks to a clean first scale decision.

Concrete milestones, Meta-only, mapped to where the value compounds.

Week 1

Brand intake + tagged baseline.

Meta partner access (read-only is fine to start), brand asset handoff, AdLib pull on the LabTAG account and the lab-label category, persona-angle-emotion baseline locked. By Friday: AdLib gap map and a first concept batch in your team's hands.

Week 2

First batch live on Meta.

Ads handed to your media buyer, structured for the existing campaign architecture. We're in the dashboard with him so launch is collaborative, not handed-off-and-hoped-for.

Week 4

First round of learnings.

Two full weeks in market on the first batch. We tag winners, identify the persona-angle-emotion combinations that hit, and the next week's batch is calibrated against the result. The flywheel starts here.

Week 6

First scale decision.

Enough signal to recommend a confident next move on spend. If you're ready to push past the cautious phase, Week 6 is when we show the math, and when the consulting or full-media-buying add-on conversation makes sense if it makes sense.

14 spec ads

We didn't want to send a proposal without proof of work.

So we built 14 first-pass Meta creatives for LabTAG. Real product, real palette, real voice. Drafts, not finals, but enough to show what the machine produces, applied to your niche.

See the 14 spec ads →

You said you wanted to work with us, Michael. Here's the shape of it.

Reply with the configuration you want (Creative at $4K, plus consulting and/or full media buying as you need them) and we'll get partner access requested, a Week 1 intake on the calendar, and a first batch in your team's hands within seven days of signing.

Reply to lock it in Send follow-up questions