E-commerce Advertising
We build and optimize Google Shopping, Meta catalog ads, TikTok Shop, and search campaigns that grow revenue profitably for online stores.
Common e-commerce advertising challenges.
Low ROAS on shopping campaigns
Poorly optimized product feeds and one-size-fits-all bidding burn through budget without generating profitable sales. Many stores run at a loss on paid traffic without realizing it.
Messy product feeds killing performance
Missing GTINs, incorrect categories, and product titles written for your storefront instead of for search mean your ads either do not show at all or show for the wrong queries.
Scaling spend without scaling profit
Adding more budget to campaigns that are not structured around margin just amplifies waste. Many e-commerce brands hit a ceiling where more spend no longer means more profit.
Attribution chaos across channels
When customers touch Google, Meta, TikTok, and email before purchasing, every platform claims the sale. Consent banners and iOS privacy changes make the numbers even murkier.
How we help e-commerce businesses grow.
Product feed optimization
We clean up and improve your product data with search-driven titles, complete attributes, and custom labels so Google shows your products for the right searches.
Segmented bidding by product performance
We break your catalog into performance tiers and allocate budget toward your best-selling, highest-margin products while limiting spend on underperformers.
Performance Max strategy and control
We structure Performance Max campaigns with proper asset groups, audience signals, and brand exclusions so Google's automation works for you instead of wasting your budget.
Seasonal and promotional campaign scaling
We plan Q4, Black Friday, and product launch campaigns months ahead so budgets ramp while clicks are still cheap and campaigns are fully learned before peak week.
How we build your e-commerce ad campaigns.
Product feed and account audit
We review your product data, existing campaign structure across Google Shopping, Meta, and TikTok, and conversion tracking to identify quick wins and structural issues. This includes a full feed quality audit against each platform's best practices.
Feed optimization and campaign build
We optimize your product titles, descriptions, and custom labels, then build a campaign architecture segmented by product category, margin tier, and performance history.
Audience segmentation and remarketing
We set up audience lists for cart abandoners, past purchasers, and high-value customers across Google, Meta, and TikTok, with tailored bidding and messaging for each segment to maximize conversion rates.
Launch and daily bid optimization
Campaigns go live with conservative bids that we adjust daily based on product-level performance data. We shift budget from low-ROAS products to top performers continuously.
Scale profitably and plan for peaks
Once we identify your winning products and audiences across platforms, we scale budget with confidence. We also build seasonal campaign plans across Google Shopping, Meta, and TikTok for major shopping events so you capture peak demand without scrambling.
3.2x
Average ROAS Improvement
67%
Shopping Revenue Growth
25+
E-commerce Clients
50K+
Products Optimized
Real results in e-commerce.
See how we have helped e-commerce businesses grow with performance advertising.
1000+ Conversions in Month One
Digital Marketplace Startup
Challenge
A new digital marketplace needed to prove traction to investors. They had zero brand awareness and a tight timeline to hit conversion targets.
1K+
First Month Conversions
$6.93
Cost Per Conversion
5.2x
ROAS
Results
- Over 1,000 conversions in the first month
- Achieved a $6.93 cost per conversion
- Provided investor-ready performance dashboards
“Over 1000 conversions the first month at a $6.93 CPA. Unbelievable efficiency for a new launch.”
- Rachel S., CEO, Digital Marketplace
Google Shopping ROAS Hits 8.4x
Premium Home Goods Brand
Challenge
A direct-to-consumer home goods brand had stagnant Shopping campaigns with a 2.1x ROAS. They needed to scale profitably without diluting margins.
8.4x
ROAS
up from 2.1x
+210%
Revenue Growth
+35%
CTR Improvement
Results
- ROAS improved from 2.1x to 8.4x over 4 months
- Revenue increased 210% while spend only increased 60%
- Product feed optimization lifted click-through rate by 35%
Seasonal Campaign Drives Record Q4
Specialty Gift Retailer
Challenge
A gift retailer generated 60% of annual revenue in Q4 but had never run a structured seasonal campaign. Previous years saw wasted spend and stockout issues.
+85%
Q4 Revenue
vs prior year
6.7x
BFCM ROAS
0
Stockouts
Results
- Q4 revenue exceeded previous year by 85%
- Black Friday/Cyber Monday ROAS hit 6.7x
- Zero stockout incidents thanks to demand forecasting alignment
Apparel Brand ROAS Climbs from 2.1 to 3.4
DTC Apparel Brand
Challenge
A mid-market apparel brand was bleeding spend on broad discovery traffic. ROAS sat at 2.1 with no clear path to improvement.
3.4x
ROAS
from 2.1x
$200K
Monthly Revenue
+60%
+62%
ROI Improvement
Results
- ROAS climbed from 2.1 to 3.4 without increasing spend
- Revenue increased while waste dropped
- Brand scaled without relying on constant creative refreshes
Supplements Brand CPA Down 35%
DTC Supplements Brand
Challenge
A supplements brand in a competitive category needed to lower acquisition costs without sacrificing volume on the same budget.
$48
CPA
-35%
4.8x
ROAS
from 4.0x
$190K
Monthly Revenue
Results
- CPA dropped 20-40% while total sales increased
- Brand stopped paying for education traffic
- Spend focused on buyers ready to convert
Furniture Brand Scales 10x, Holds 7x ROAS
High-AOV Furniture Retailer
Challenge
A high-AOV furniture retailer needed to scale spend aggressively without destroying efficiency, avoiding the common scale cliff seen in furniture e-commerce.
$210K
Monthly Revenue
from $20K
7.0x
ROAS
held
10x
Spend Scaled
Results
- Spend scaled 10x in four months while holding 7x ROAS
- Profitability remained intact throughout scaling
- Brand avoided the common scale cliff
“They took us from $3K to $30K in spend and revenue followed. We never thought we could scale that fast without losing margin.”
- Amanda P., Founder & CEO
Home Decor Shopping Revenue Up 60%
Home Decor Store
Challenge
A home decor store with 400+ SKUs needed to unlock growth from Google Shopping without increasing spend. The product feed was messy and low-margin items ate budget.
4.6x
ROAS
from 3.2x
+60%
Shopping Revenue
400+
SKUs Optimized
Results
- Shopping revenue increased 40-80% with the same budget
- More spend flowed to profitable products
- Overall account efficiency improved
Electronics Revenue Doubles, ROAS Hits 3.2
Electronics Retailer
Challenge
PMAX was over-spending on low-intent traffic in thin-margin categories. Revenue was stuck at $180K/month with a 1.8x ROAS.
3.2x
ROAS
from 1.8x
$420K
Monthly Revenue
+133%
$115K
Monthly Spend
Results
- ROAS rose from 1.8 to 3.2 within 90 days
- Revenue more than doubled to $420K/month
- Waste fell and scaling became controllable
Outdoor Gear Revenue Grows 60% YoY
Outdoor Gear E-commerce Brand
Challenge
An outdoor gear brand needed year-over-year growth without leaning on constant promotions. How-to and hobby-research traffic was eating budget.
$670K
Annual Revenue
+60% YoY
4.4x
ROAS
from 3.8x
$135
AOV
Results
- Google Ads revenue grew 60% year-over-year
- ROAS improved from 3.8 to 4.4
- Steadier demand outside peak weekends
Skincare Brand Scales 5x, Holds 4.5x ROAS
DTC Skincare Brand
Challenge
A skincare brand with repeat-purchase economics needed to scale spend 5x without ROAS collapse in a crowded category.
$225K
Monthly Revenue
from $45K
4.5x
ROAS
held
$25
CPA
held
Results
- Spend scaled from $10K to $50K/month while maintaining 4.5x ROAS
- Revenue grew predictably from $45K to $225K/month
- Acquisition costs stayed stable enabling inventory investment
“We went from $10K to $50K in spend and our ROAS never dipped. That gave us the confidence to invest in inventory and retention.”
- Lisa M., Head of Growth
Accessories Brand ROAS Jumps from 2x to 5x
DTC Accessories Brand
Challenge
A DTC accessories brand was relying on broad traffic with a 2.0x ROAS. Profitability was declining and scaling felt impossible.
5.0x
ROAS
from 2.0x
$150K
Monthly Revenue
+150%
$20
CPA
-38%
Results
- ROAS increased from 2.0 to 5.0 and revenue doubled
- CPA dropped from $32 to $18-22
- Scaling became repeatable with concentrated buyer spend
Fitness Equipment Revenue Up 55%
Fitness Equipment Brand
Challenge
A high-ticket fitness equipment brand needed to increase revenue while protecting margin. Low-ticket accessories were inflating ROAS but not driving profit.
$90K
Monthly Revenue
+55%
4.5x
ROAS
from 3.6x
$750
AOV
Results
- Revenue increased 40-70% with better AOV mix
- ROAS improved from 3.6 to 4.5
- Profit per order increased without relying on constant sales
Specialty Retailer PMAX ROAS Hits 5.1
Specialty Retailer
Challenge
PMAX was over-indexing on low-intent queries for a specialty retailer with 800-1,500 SKUs. The algorithm was spending freely without profitable returns.
5.1x
ROAS
from 3.0x
$300K
Monthly Revenue
+82%
$58K
Monthly Spend
Results
- ROAS improved from 3.0 to 5.1 within eight weeks
- Revenue increased while wasted spend decreased
- PMAX became a predictable scale lever
Gifting Brand Scales 4x, CPA Holds Steady
DTC Gifts Brand
Challenge
A gifting brand needed to scale through seasonal demand without CPA drifting upward. Ideas and DIY searches were eating budget without converting.
$35K
Monthly Revenue
+60%
$20
CPA
held
4x
Spend Scaled
Results
- Spend scaled 4x while CPA stayed steady at $18-22
- Total sales grew 60%
- Account stayed stable before, during, and after seasonal spikes
E-commerce niches we specialize in.
Before we recommend spending more on ads, we work out whether ads are actually what is limiting your growth. Often they are not.
How we find the constraintCommon questions about e-commerce advertising.
It depends on how people find your product. If shoppers already search for what you sell, Google Shopping and Search capture that demand at the highest intent. If your product is discovered rather than searched for, Meta and TikTok create the demand and Google catches the branded searches that follow. Most stores we manage end up on two or three platforms with deliberate roles for each, not one platform doing everything. The wrong move is spreading a small budget across four platforms before any single one has enough data to optimize.
There's no universal number, and anyone quoting one is guessing. Spend is a function of your margins, average order value, and how much growth you're funding. What matters more than the absolute figure is whether your budget is large enough to generate statistically meaningful conversion data on each platform you run. A budget spread too thin produces noise, and smart bidding trained on noise makes bad decisions. We'd rather see a store run one platform properly than three platforms badly.
Whatever your margins say, not what a benchmark report says. A store with 70% gross margins can be profitable at a 2x ROAS while a store with 25% margins loses money at 4x. Your break-even ROAS is roughly one divided by your contribution margin, and your target should sit above that with room for overhead and growth. We set targets from your actual cost data, which is why the first thing we ask new e-commerce clients for is landed costs, not last month's ROAS.
Existing accounts with clean feeds and tracking can improve within weeks because we're reallocating budget that's already flowing. New accounts take longer: smart bidding needs conversion volume to learn, feeds need approval and optimization cycles, and creative needs testing rounds. Expect the first month to be about building signal and the following two to be about scaling what works. Anyone promising profitable campaigns in week one either has your data already or is telling you what you want to hear.
Every platform measures with its own attribution rules, and they all grade their own homework. Google counts conversions within its attribution window, including some modeled conversions estimated from consent-mode and iOS-restricted traffic where the actual click can't be observed. Meta does the same with its windows. Add them up and platform-reported revenue routinely exceeds what your store banked. We treat platform numbers as directional signals for optimization and judge real performance on blended figures: total revenue against total spend.
Simple version: if we don't improve the performance of your ads, you don't pay us. For e-commerce that means we agree on what improvement looks like before we start, usually profit-adjusted return rather than raw ROAS, measured against your existing baseline. It keeps our incentives pointed the same direction as yours. We only take on stores where we genuinely believe we can beat the current numbers, because our fee depends on it.
Yes, and as one coordinated system rather than three separate accounts. Meta handles catalog retargeting and prospecting off your customer data, TikTok drives discovery for visual and impulse-friendly products, and Google Shopping captures shoppers who are actively comparing. We deduplicate audiences, set conversion windows deliberately, and read results at the blended level so no platform gets credit for sales another one created.
Ready to grow your e-commerce business?
Get a free audit and see how we can improve your campaign performance.
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