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Marketing performance project · interactive case study

Meridian. A measurable growth model.

DAX connected traffic, product clicks, conversion and order value into one decision model. Move a control to inspect how the delivered system isolates each growth lever.

Inspect the model by moving one input
01 — Delivered growth model

Four levers. One measurable system.

Use the controls to inspect how DAX's model connects the sales path and monthly projection. Toggle an improvement to compare its modeled effect.

One month of salesupdates with every change
Visits
52.3k
starts at 48,000
more discovery
Product views
17.8k
34.0% view a product
Orders
596
2.99% buy
easier checkout follow-up emails
Sales
$38.1k
$64 average order
Honest math — steady-state month

52,320 visits/mo × 34.0% CTR × 2.99% CVR × 1.12 email-flow orders × $64 AOV = $38,127 / month

12-month revenue projection
$443,547
vs $325,868 flat baseline · programs add +$117,679
Month-12 run rate
$38,127 / mo

Model, stated plainly: GEO ramps to +9% traffic over 7 months · CRO adds +15% CVR from month 2 (40% in month 1) · email flows reach +12% orders by month 2 · no baseline growth is assumed — the shaded gap is the program effect, not market drift.

02 — The channel mix

Budget meets diminishing returns.

Every channel follows r(s) = cap · (1 − e−s/k): the first dollars work hardest, then the curve flattens. Drag any spend slider — or let the optimizer equalize marginal return across all five. One owner, channels pulling together.

Total monthly spend
$3,000
Modeled monthly return
$11,904
Blended ROAS
3.97×

Amazon / PPC

$1,500→ $5,987 / mo modeled
next $100 ≈ $313 back

search intent · fastest feedback loop

Store SEO

$600→ $1,865 / mo modeled
next $100 ≈ $289 back

compounding · slow start, high ceiling

Store SEO scorecard sample: SEO score 86, organic traffic trend, keyword rankings with positions and status checks

Email flows

$300→ $1,910 / mo modeled
next $100 ≈ $554 back

owned list · brutal efficiency, hard cap

GEO — AI search

$400→ $1,689 / mo modeled
next $100 ≈ $388 back

answer-engine citations · structured for AI

The gap — AI answers cite so few stores that early movers own the shelf

Paid social

$200→ $453 / mo modeled
next $100 ≈ $222 back

demand creation · needs scale to pay

Curves are scripted demo assumptions — steady-state monthly return per channel, stated so they can be argued with. The optimizer allocates the same total in $50 steps to whichever channel's marginal return is highest. That is the whole trick of media planning, visible.

03 — The offer

Three shapes, one engine.

Owner-priced tiers. What each buys is listed, not implied — and everything hands over: source files, keyword sheets, report templates.

Starter

One channel, one fix

$90
3-day turnaround · 1 revision
  • Amazon ads audit + rebuild (one campaign type)
  • Search-term audit
  • 1 listing/ad image set
  • One-time performance report
Growth

Ads + SEO together

$280
6-day turnaround · 2 revisions
  • All Amazon campaign types rebuilt
  • Store SEO pass up to 15 pages
  • 3 image sets
  • Storefront conversion fixes on top pages
Full engine

Whole store, managed monthly

$650 / mo
Rolling 30-day cycle · unlimited revisions in scope
  • All campaign types managed
  • Full-site SEO ongoing
  • Creative as needed
  • Monthly search-term audit + performance report
  • Storefront conversion fixes
+ Competitor teardown report — $40 + Paid social ad set, 3 Meta creatives — $50 + Extra 15 SEO pages mapped & optimized — $60
04 — What the market gets wrong

Read the one-star reviews so you don't live them.

Recurring buyer complaints from this category, paraphrased — and the way this engine is built to not repeat them. No sellers named.

Pain 01 · cookie-cutter delivery

“Paid for a top-rated seller, got the same paste-in setup as every other store — my products and region ignored.”

The simulator above is the counter-offer: your traffic, your margins, your channels. The plan falls out of your numbers, not out of a template.

Pain 02 · no proactive advice

“The literal task got done, then silence — zero guidance on what to automate or fix next.”

Every monthly report ranks the next fixes by impact versus effort. Strategy is part of the deliverable, not an upsell you have to know to ask for.

Pain 03 · results lag, nobody explains

“Thorough work, flat dashboard — and no one will say whether the spend is paying off.”

Ramps are modeled before you pay. The projection above says what month 3 should look like, so “is it working?” has a reference line instead of a shrug.

Pain 04 · timeline slippage

“Quoted one week. Delivered… eventually. The work was fine; the waiting wasn't.”

Turnarounds are printed on the tiers above, and the monthly cycle has fixed report dates. Late becomes measurable, so it doesn't happen quietly.

Pain 05 · hidden pricing

“The big-brand sellers make you DM for a price before you can even compare.”

Pricing sits on this page, next to the math it buys. Compare away.

05 — Field index · online marketing

Every service, proven somewhere on this page.

Nine services in the marketing catalog — each one tied to the exact panel or interaction above that demonstrates it.

01 · svc-seo

SEO services

The Store-SEO channel card runs the slowest, highest-ceiling curve in the mix builder — and carries a scorecard sample, because rank work is a monthly return, not a vibe.

02 · svc-email-marketing

Email marketing

Flip the email-flows switch and watch orders step up 12% in the funnel — welcome, abandoned-cart and winback flows, modeled to full effect by month 2.

03 · svc-social-media

Social media management

Paid social holds the steepest scale curve in the channel-mix builder — the optimizer shows exactly when it has earned a bigger slice of the budget.

04 · svc-lead-generation

Lead generation

Rename the funnel's stations — visits to list, list to qualified leads — and the same four-dial math prices a B2B prospecting engine before you build it.

05 · svc-marketing-automation

Marketing automation

Every ramp in the 12-month projection assumes the flows fire without a human — automation wiring is why month 1 looks like month 1 and not month 4.

06 · svc-cro

Conversion optimization

The CRO toggle multiplies the CVR stage by 1.15 and the funnel redraws instantly — a conversion audit reduced to its honest, checkable effect.

07 · svc-crm-setup

CRM setup

The orders leaving stage three need a pipeline to land in — CRM stages mirror the funnel's stations, kept in one system so the numbers reconcile.

08 · svc-analytics

Web analytics

The honest-math line under the funnel is the whole discipline: every figure on this page recomputes from four inputs you can drag and audit.

09 · svc-ppc-ads

PPC & display ads

PPC anchors the mix with the strongest early marginal return — and the proof panel shows the ACoS/ROAS report format it gets tracked in, monthly.

06 — Market context

The bar the market sets, on the record.

ballymalik (e-commerce PPC) — review sample 4 × 5.0 + 1 × 4.7 · portfolio headline “US Supplements — ACoS 72% → 27%”

alexiscottray (CRO) — review sample 5 × 5.0, incl. “24-page report and a very deep video walkthrough”

Sampled from public marketplace listings, Mar–May 2026 — shown as the bar the market sets, not as DAX results.

Commission this — or the version tuned to your store.

The demo runs on scripted assumptions. The engagement runs on your numbers — same dials, same visible math, your funnel.

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