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Check if performance-based PPC fits your store
Send the store URL, monthly ad spend range, target ROAS, and the constraint we should read first.
Primary paid route for e-commerce Google Ads accounts with live spend
Scale Google Ads only where ROAS survives margin, feed, and tracking reality
If Google Ads, Shopping, or PMax is already live, this is the direct paid diagnostic path. We start with a baseline review across account structure, tracking, product feed, margin logic, branded demand, and landing-page friction. Then we decide whether the next step is management, cleanup, or a performance-based fee model, and which ROAS source and exclusions must be agreed first.
If Google Ads, Shopping, or PMax is already live, this is the direct paid diagnostic path.
We check tracking, feed, margin, branded demand, landing pages, ROAS source, and exclusions before management or a performance-fee model is proposed.
Trusted by 600+ SMBs
ROAS fit check
What we clarify in the first fifteen minutes
The first call should produce a useful next decision from the store, spend, margin, and tracking context. This route is for high-intent ecommerce teams that already know paid traffic is the commercial surface to inspect. If the first channel is still unclear, start with the Growth Bottleneck Map.
- Whether your current ROAS is clean enough to use for a performance-based fee model
- Which signal is most likely distorting decisions: tracking, feed, branded demand, stock, margin, or landing-page friction
- Whether the next step should be a pilot, cleanup, or full management
- What we would need to verify before calling performance improvement real
Is this offer a fit?
This works best when there is enough signal to separate real performance improvement from noise.
Best fit
- you already spend consistently on Google Ads
- Shopping, Performance Max, or feed quality affects revenue
- ROAS looks acceptable, but margin, MER, or profitability feels unclear
- branded and non-branded performance may be mixed together
- your team needs clearer ownership without daily micromanagement
Wrong first step
- there is almost no conversion data to evaluate
- tracking is too broken to create a baseline
- product margins are completely unknown
- stockouts or promo spikes explain most performance changes
- the business needs basic store setup before paid acquisition work
Problem #1
Your ROAS may look fine while the account is still training Google on the wrong signals.
In e-commerce, weak Google Ads performance can hide behind acceptable ROAS. The account can quietly shift spend toward low-margin SKUs, branded demand, weak feed segments, returning customers, or products already limited by stock, price, or landing-page friction.
Margin-blind scaling
The account may spend more on products that convert while leaving too little gross profit after ad cost, discounts, refunds, and fulfillment.
PMax hides the real mix
Performance Max can blend branded, non-branded, remarketing, Shopping, Display, and YouTube signals into one good number - making it harder to see what actually created growth.
Feed and stock issues distort decisions
Missing attributes, weak titles, poor product grouping, out-of-stock items, price changes, and promo spikes can make campaign results look better or worse than the actual opportunity.
Tracking quality changes the fee conversation
Before performance-based pricing makes sense, revenue source, attribution rules, exclusions, and conversion signal quality need to be clear.
The Solution: baseline first, scaling second.
We start by checking account structure, tracking, feed quality, product economics, search terms, landing-page readiness, and current ROAS/MER logic. Only after the baseline is clear do we agree which ROAS band, attribution source, and exclusions should guide the management fee.
Separate branded-only uplift from real acquisition growth.
Check whether spend is moving toward profitable product groups.
Review tracking and feed readiness before scaling.
Tie the fee model to agreed rules, not vague platform screenshots.
Problem #2
Poor project management, fragmented communication, and no ownership of results
When communication is loose, the store owner ends up managing approvals, reports, blockers, and ad decisions while budget keeps moving.
Disjointed Management
Project management and PPC decisions need one owner, one weekly read, and one place where blockers are named.
Unclear Communication
Inconsistent updates leave you waiting on reports that show activity without the next decision.
No Clear Accountability
Ad spend can be monitored while no one owns the margin, feed, query, page, or reporting decision behind the result.
The Solution
Aligned Collaboration
The project manager and PPC lead work from the same account read, blocker list, and weekly decision log.
Transparent Communication
You get updates that separate what changed, what is blocked, what the data can support, and what needs approval.
Accountability tied to the commercial read
The work stays tied to ROAS source, margin logic, feed quality, query quality, and the next decision the account needs.
Google Ads management pricing
Performance-based PPC pricing after baseline validation
Fee is tied to the ROAS band we agree on after baseline validation. Lower performance keeps the fee low. Better performance creates upside only when the rules are clear.
Step 1: Validate the baselineWe review the last 30, 60, or 90 days - or use the 2-week pilot baseline if tracking, feed, or conversion quality needs cleanup first.
Step 2: Agree the performance sourceWe define whether performance is judged by platform ROAS, GA4 revenue, blended MER, Shopify revenue, or another business source.
Step 3: Separate exclusionsBranded-only uplift, tracking gaps, stockouts, feed issues, promo spikes, and one-off anomalies are separated before fee decisions.
Step 4: Tie fee to the agreed ROAS bandLower performance keeps the fee low. Better performance creates upside only when the rules are clear before execution.
Below agreed baseline$0
Used when the account has not cleared the agreed baseline or when signal quality is not strong enough to call the result a win.
Baseline to healthy ROASfrom $500
Used when the account is moving in the right direction, but performance is still close to the agreed baseline.
Healthy to above-target ROASfrom $700
Used when the account reaches the agreed healthy ROAS band and the result is not explained by exclusions.
Above target$700 + upside
Used when the account exceeds the agreed target and the improvement is supported by clean signal, clear attribution, and agreed exclusions.
Performance fee rules
How the model stays tied to evidence
The fee model only makes sense after the baseline is clear. These rules are part of the fit check before a retainer is proposed.
BaselineLast 30, 60, or 90 days, or the 2-week pilot baseline if tracking needs cleanup first.
ExclusionsBranded-only uplift, tracking gaps, out-of-stock products, feed issues, and promo spikes are separated before fee decisions.
ROAS definitionWe agree whether the target uses platform ROAS, blended MER, GA4 revenue, or another source before the work starts.
Margin logicTarget ROAS changes when gross margin, AOV, refund rate, or new versus returning customer mix changes.
First 2 weeksAccount, tracking, feed, product economics, query quality, and landing-page readiness are checked before scaling.
ExampleIf spend is $30K and target ROAS is 3.0, the baseline revenue target is $90K before any upside fee is discussed.
Margin-aware ROAS checkCompare the revenue before the fee
Start with what the store earns now, then model the target scenario, current agency fee, and Etavrian fee as the smaller second layer.
Current baseline
Current revenue$72,000
Target revenue scenario
Target revenue$90,000
Projected revenue$132,000
Margin guardrails
Fixed upside share6%
Margin after drag38.6%
Upside candidate$132,000Projected client revenue
+$60,000 revenue+83.3%Fee share-0.1% pts
At target 3.0 ROAS and projected 4.4 ROAS, revenue moves +$60,000 vs current. Fee stays secondary to whether the revenue lift is real.
Validate fee rulesCurrent agency fee$1,0001.4% of current revenue
Etavrian fee$1,6741.3% of projected revenue
Fee difference+$674+67.4%
Revenue lift+$60,000+83.3%
Target clearance+$42,000$90,000 target revenue
Fee difference+$674+67.4%
Fee to revenue1.3%-0.1% pts
This is a planning aid, not a quote. ROAS bands, attribution source, margin assumptions, and exclusions are finalized after the pilot.
Target ROAS is finalized after the 2-week pilot and the attribution source is agreed. For category growth outside paid traffic, review SEO support.Get ROAS Fit Check
Case Studies
Start with the e-commerce proof closest to the buying decision: PMax, Shopping economics, Shopify SEO, category growth, and budget constraints.
Need a closer match? Send the store context and we can point you to the most relevant public proof.
How the offer handles common PPC risks
The comparison makes the operating rules explicit: fee logic, blocker ownership, tracking checks, and page/feed responsibilities.
Buyer concern
Typical agency risk
Etavrian mechanism
Proof or check
Fees grow while ROAS falls
% of spend rewards scale, not efficiency.
Fee is tied to agreed ROAS bands after baseline validation.
Pricing examples and pilot rules.
No one owns blockers
Specialist silos leave the client managing priorities.
One PM owns weekly decisions, approvals, blockers, and reporting.
Weekly next-action reporting.
Tracking is unreliable
Platform ROAS is accepted without checking signal quality.
GA4, server-side, feed, and conversion-readiness checks before scale.
Tracking and feed readiness pilot.
CRO is ignored
Ads are optimized while product and collection pages leak demand.
PPC pages, product pages, and collection pages are treated as part of the account.
CRO support and e-commerce cases.
How the e-commerce PPC pilot works
Before scaling, we check whether the account, tracking, feed, product economics, and landing pages can support performance-based management.
01
Baseline and signal check
We review the last 30, 60, or 90 days of spend, revenue, ROAS, MER, conversion volume, branded/non-branded mix, tracking source, and campaign structure. If the signal is weak, we say that before proposing a performance fee.
02
Feed, SKU, and margin review
We look at product groups, titles, attributes, availability, pricing, discounts, AOV, gross margin, refund risk, and stock constraints. We use this step to understand where scaling could create profit before adding more platform revenue.
03
Campaign and query diagnosis
We check where budget is being pulled: PMax, Shopping, brand terms, non-brand demand, remarketing, weak placements, low-quality queries, and product groups that should be isolated, excluded, or rebuilt.
04
Landing-page and conversion quality check
We review the product pages, collection pages, PPC landing pages, checkout friction, trust signals, and offer clarity that may be limiting conversion rate even when campaign traffic is qualified.
05
ROAS band, exclusions, and next-action plan
After the pilot, we agree on the attribution source, target ROAS band, exclusions, and first execution priorities. You get a clear decision log: what we would change, why it matters, what it should affect, and which results are excluded from performance credit.
We control the inputs Google uses, protect margin, and scale only where the economics make sense. Campaign edits follow that read.
Reviews and testimonials
Public marketplace reviews over timeCombined Upwork + Freelancehunt review history, 2018-2026
Upwork marketplace proof
Upwork is the public source for English-speaking SEO and paid media work, including B2B and ecommerce examples.
Freelancehunt review history
Freelancehunt shows additional Ukrainian and European SMB review history, often from diagnostic and implementation projects.
Meet Andrew
Spend 35 seconds meeting Andrew, then use the bullets to understand where founder involvement starts and stops.
I review the account diagnosis before we propose a fee model.
I stay involved in strategic changes, not daily button-pushing.
Your PM owns weekly execution, approvals, blockers, and reporting.
Founder involvement should make the decisions clearer and reduce how much coordination the client has to manage.See how our operating model works
Questions e-commerce teams usually ask before a ROAS-based fee model
Can you guarantee that Google Ads will make more money?
No - and any agency that guarantees exact results before checking the account is oversimplifying the work. What we can do is validate the baseline, check tracking and feed quality, separate exclusions, reduce wasted spend, and make the next decisions with clearer ROAS, margin, and attribution logic.
What ROAS can I expect?
The useful answer depends on your current baseline, gross margin, AOV, product availability, refund rate, tracking quality, branded/non-branded mix, and conversion volume. During the pilot, we agree which source should matter: platform ROAS, GA4 revenue, blended MER, Shopify revenue, or another business source.
Do you charge a percentage of ad spend?
Only after baseline validation. A pure percentage of spend can reward scale even when efficiency drops. Our model starts with target ROAS, attribution source, exclusions, and margin logic before we agree the management fee structure.
What happens in the first 2 weeks?
We check account structure, tracking, conversion quality, feed readiness, product economics, branded/non-branded mix, query quality, and landing-page friction. Some waste can be found quickly, but stable improvement depends on signal quality, budget, conversion volume, product availability, and competition.
What if ROAS improves because of a promo, stock change, or branded demand?
That is why exclusions are agreed before fee decisions. Branded-only uplift, promo spikes, tracking gaps, feed issues, out-of-stock products, and one-off anomalies are separated from performance we should be credited for.
Do you only manage Google Ads, or do you also look at feed and pages?
We treat feed quality, tracking, product economics, product pages, collection pages, and PPC landing pages as part of the performance system. Ads need those pieces working before conversion and margin issues can be read clearly.
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