Ecommerce Advertising Agency
TimeZ Marketing is San Francisco’s leading ecommerce advertising agency — scaling DTC and ecommerce brands with high-ROAS Google Shopping, Performance Max, Meta Ads, and TikTok campaigns. From product feed optimisation and smart bidding to Klaviyo retention and full-funnel ecommerce performance marketing, we engineer growth that compounds every month.
- Google Shopping Ads
- Performance Max
- Meta & TikTok Ads
- Product Feed Optimisation
- Klaviyo Email & SMS
- Dynamic Retargeting
- ROAS Optimisation
- DTC Growth Strategy
Ecommerce Advertising Agency Services That Lower ACOS, Scale ROAS, and Grow Online Revenue
Our ecommerce advertising agency plans, builds, and manages full-funnel ecommerce advertising programs — from Google Shopping, Performance Max, and Meta Ads to Amazon Advertising, TikTok Shop, and programmatic display — combining data-driven campaign architecture, creative strategy, product feed optimization, and conversion rate improvement to consistently lower your cost per acquisition, increase return on ad spend, and drive the profitable online revenue growth your ecommerce business needs to scale.
Ecommerce Paid Media Audit and ROAS Analysis
Conducting a comprehensive audit of your existing ecommerce advertising accounts — analyzing campaign structure, bidding strategies, audience targeting, product feed quality, creative performance, budget allocation, and attribution settings across Google Ads, Meta Ads, and any additional channels — to identify the specific ROAS inefficiencies, wasted spend categories, and structural campaign errors that are preventing your ecommerce advertising from achieving the profitable return on ad spend your product margins can support at scale.
Ecommerce Competitor Advertising Intelligence
Analyzing your ecommerce competitors’ advertising strategies — evaluating their Google Shopping coverage, product feed presentation, Meta creative approach, promotional offer cadence, seasonal campaign patterns, and pricing strategies — to identify the advertising gaps, creative angles, and offer structures your brand can exploit to win market share from established competitors, and the bidding landscapes you are operating within so your campaign budgets are allocated to the product and keyword opportunities with the highest potential for profitable ecommerce advertising returns.
Product Margin and LTV Analysis for Bidding Strategy
Analyzing your product catalog margins, average order values, customer lifetime values, and repeat purchase rates by product category — to build a bidding strategy that prioritizes ecommerce advertising investment toward the products and customer segments that deliver the highest profitable return, not just the highest revenue volume — ensuring your target ROAS and CPA goals are calibrated to your actual margin economics rather than industry benchmarks that may not reflect your specific product mix or business model.
Ecommerce Advertising Channel Mix and Budget Planning
Building the optimal ecommerce advertising channel mix and budget allocation model — evaluating Google Shopping, Performance Max, Meta Ads, TikTok Ads, Pinterest Ads, Amazon Advertising, and programmatic display against your product type, target demographics, average order value, and margin profile — and allocating budget across channels in the proportions that maximize total profitable revenue return, with a clear rationale for each channel investment that connects spend to expected ROAS and payback period based on your specific ecommerce business economics.
Seasonal Campaign Planning and Promotional Strategy
Planning your ecommerce advertising calendar around the seasonal peaks and promotional moments that drive the highest ecommerce revenue volume — building campaign structures, creative briefs, budget uplift schedules, and audience strategies for Black Friday, Cyber Monday, holiday season, and category-specific sales moments — with pre-event audience building phases, peak-period campaign activations, and post-event retargeting programs that maximize revenue during your highest-value trading windows throughout the year.
Ecommerce Advertising Goal Setting and KPI Framework
Establishing the KPI framework and performance targets that govern your entire ecommerce advertising program — defining target ROAS, maximum CPA, blended MER goals, new customer acquisition rate targets, and revenue growth objectives by channel and by product category — and building the reporting infrastructure that tracks performance against each target on a daily, weekly, and monthly basis, ensuring every optimization decision your advertising team makes is guided by financially grounded targets that reflect your ecommerce business’s actual margin requirements and growth objectives.
Why Start With Ecommerce Ad Strategy
- ROAS targets calibrated to your actual product margins — not generic benchmarks
- Full account audit identifying wasted spend before new budgets are committed
- Competitor intelligence shaping your creative, offer, and bidding approach
- Channel mix built on your product category and customer demographics
- Seasonal plan ensuring budgets are concentrated on your highest-revenue windows
- KPI framework connecting every campaign decision to revenue and margin outcomes
Google Shopping Campaign Structure and Management
Building and managing Google Shopping campaigns with the granular campaign structure that gives ecommerce advertisers maximum bidding control — segmenting campaigns by product category, margin tier, and bestseller status, using custom labels to separate high-priority products from lower-margin catalog items, and implementing tiered bidding strategies that allocate the highest CPCs to your best-converting, highest-margin products while suppressing spend on products where your conversion economics do not justify competitive Shopping auction bids at your target ROAS.
Performance Max Campaign Build and Optimization
Building and optimizing Performance Max campaigns for ecommerce — structuring asset groups by product category and audience intent, providing Google’s machine learning with high-quality creative assets, product signals, and audience data inputs that enable smart bidding to find your best converting customers across Search, Shopping, Display, YouTube, Gmail, and Maps — while maintaining campaign-level controls, exclusion lists, and audience signals that prevent Performance Max from cannibalizing your existing high-performing Shopping and Search campaigns through bid overlap and impression share competition.
Google Merchant Center Setup and Feed Management
Setting up and maintaining Google Merchant Center — resolving product disapprovals, configuring shipping and return settings, verifying business information, managing feed submission schedules, and ensuring your product catalog maintains the data quality standards that Google requires for Shopping ad eligibility — and building the ongoing feed management processes that keep your product titles, prices, availability, and promotional information synchronized between your ecommerce platform and Google Merchant Center without manual updates that introduce errors or data lag.
Branded and Non-Branded Ecommerce Search Campaigns
Managing branded and non-branded Google Search campaigns alongside Shopping campaigns — protecting brand search terms from competitor conquest bidding, capturing high-intent non-branded product category queries with tightly themed ad groups and message-matched product landing pages, and building Search campaign keyword strategies that complement Shopping coverage by capturing intent signals that Shopping campaigns cannot target directly, creating a complete Google search presence that dominates the results page for your most commercially valuable ecommerce queries.
Smart Bidding Strategy and Target ROAS Optimization
Implementing and optimizing Smart Bidding strategies for ecommerce — calibrating Target ROAS bid strategies across Shopping and Performance Max campaigns, managing bid seasonality adjustments during promotional peaks, building the conversion data history that enables Google’s machine learning to optimize bids effectively, and monitoring Smart Bidding performance against manual benchmark periods to ensure automated bidding is delivering statistically superior ROAS outcomes for your ecommerce business rather than simply converting campaign management complexity into lower account performance.
Google Ads Ecommerce Conversion Tracking and Attribution
Configuring accurate ecommerce conversion tracking across Google Ads — implementing GA4 ecommerce tracking, Google Ads enhanced conversions, and consent-mode configurations that maintain measurement accuracy in a privacy-first environment — connecting transaction data, average order value, and product-level revenue back to Google Ads campaigns at the keyword and product group level, enabling the ROAS calculations, Target ROAS bid strategies, and product-level profitability analysis that data-driven ecommerce advertising management requires.
Google Shopping and Performance Max Benefits
- 4.2x average ROAS from purchase-intent Shopping traffic captured at search
- Granular campaign structure giving full bidding control by product margin
- Performance Max optimized to add reach without cannibalizing existing campaigns
- Merchant Center maintained for 100% product eligibility and feed health
- Smart Bidding calibrated to your actual margin targets — not platform defaults
- Product-level ROAS tracking showing exactly which items are profitable
Meta Ads Ecommerce Campaign Structure and Management
Building and managing Meta ecommerce advertising campaigns with the three-tier campaign structure — top-of-funnel prospecting campaigns targeting cold audiences with creative-led discovery content, mid-funnel engagement campaigns nurturing video viewers and website visitors, and bottom-of-funnel conversion campaigns with purchase-optimized objectives targeting warm audiences — ensuring your Meta advertising investment is allocated across the full acquisition funnel in the proportions that sustain new customer acquisition volume while maintaining the efficiency metrics your ecommerce margin economics require.
Dynamic Product Ads and Catalog Advertising
Setting up and optimizing Meta Dynamic Product Ads — connecting your ecommerce product catalog to Meta Ads Manager, building catalog sets segmented by category and margin tier, and running DPA campaigns that automatically serve personalized product ads featuring the specific items each user has viewed, added to cart, or previously purchased — delivering highly relevant product advertising at scale without manual ad creation for individual products, while retargeting abandoned cart visitors with the exact products they failed to purchase during their most recent store visit.
Advantage Plus Shopping Campaigns and AI Optimization
Building and managing Meta Advantage Plus Shopping campaigns for ecommerce — providing Meta’s machine learning with high-quality creative assets, product catalog data, and audience signals to enable automated campaign optimization across placements, audiences, and creative combinations — while monitoring performance against manual campaign benchmarks, managing creative input quality, and applying the budget controls and audience exclusions that prevent Advantage Plus from over-investing in low-value retargeting audiences at the expense of efficient new customer acquisition for your ecommerce business.
Meta Pixel and Conversion API Implementation
Implementing and maintaining Meta Pixel and Conversions API for accurate ecommerce event tracking — configuring server-side event sending through Conversions API to recover the purchase signal data lost to browser cookie restrictions and iOS privacy changes, verifying event match quality scores, deduplicating browser and server events, and ensuring your Meta campaigns receive the complete purchase and value data they need to optimize bidding, scale profitably, and report accurate ROAS figures that reflect true advertising performance rather than an undercount caused by incomplete client-side tracking.
TikTok and Instagram Shopping Ad Management
Managing TikTok and Instagram Shopping advertising for ecommerce brands targeting younger demographics and visual product categories — building TikTok Video Shopping Ads, Collection Ads, and Spark Ads campaigns for product discovery, managing Instagram Shopping tags and catalog integration, creating Instagram Reels ad campaigns for fashion, beauty, home decor, and lifestyle product categories, and developing the short-form video creative strategy that drives ecommerce discovery and purchase conversion among the social shopping audiences that increasingly prefer TikTok and Instagram as their primary product discovery channels.
Paid Social New Customer Acquisition and LTV Optimization
Optimizing paid social ecommerce campaigns for new customer acquisition efficiency — suppressing existing customer audiences from prospecting campaigns, building Lookalike Audiences from your highest-LTV customer segments, tracking new customer rate alongside ROAS to prevent over-investment in low-value retargeting at the expense of acquisition growth, and connecting paid social first purchase data to retention cohort performance to ensure the customer acquisition economics your Meta campaigns deliver are sustainable in the context of your actual customer lifetime value and repeat purchase rates.
Meta and Paid Social Advertising Benefits
- 2.9x average ROAS from purchase-optimized Meta ecommerce campaigns
- Dynamic Product Ads serving personalized product ads to every warm audience
- Conversions API recovering purchase signals lost to iOS privacy restrictions
- Full-funnel structure balancing new customer acquisition and retargeting ROAS
- Weekly creative testing sustaining performance as ad fatigue reduces results
- LTV-calibrated acquisition ensuring new customers are worth the cost to acquire
Google Shopping Product Title and Attribute Optimization
Rewriting and optimizing product titles, descriptions, product types, and Google Shopping attributes for your entire product catalog — structuring titles with brand, product name, key specifications, and high-intent keywords in the order Google’s algorithms and shoppers weight most heavily, enriching attribute fields including color, size, material, gender, age group, and GTIN data that improve Shopping feed completeness scores and product eligibility for auction segments your products are currently excluded from due to missing or incorrectly formatted attribute data.
Custom Label Strategy and Feed Segmentation
Building a custom label strategy that tags your product catalog with business-critical information unavailable in standard Shopping attributes — applying custom labels for margin tier, bestseller status, seasonal relevance, promotional eligibility, inventory level, and new arrival status — enabling your Shopping campaigns to bid differently based on commercial priority, exclude products that are out of stock or below margin threshold, and apply promotional price extensions only to the products where promotional offers improve conversion economics without eroding your overall catalog profitability.
Ecommerce Ad Creative Strategy and Production Briefing
Developing the ad creative strategy for your ecommerce advertising campaigns — analyzing top-performing competitor creative, identifying the creative angles, social proof formats, offer structures, and visual styles that drive the strongest purchase intent for your product category, and producing detailed creative briefs for your design team or our creative partners — covering static image ads, video ad scripts, carousel ad structures, UGC creative briefs, and the creative testing matrix that ensures every production investment is evaluated against performance data before further creative investment is committed.
Meta Catalog and Dynamic Creative Optimization
Optimizing your Meta product catalog for Dynamic Product Ads performance — ensuring product images meet Meta’s quality standards, product names and descriptions are compelling within the DPA ad unit format, prices are accurate and synchronized, and product sets are structured to enable the right level of creative personalization and audience segmentation for your ecommerce catalog — and building Dynamic Creative Optimization tests that automatically serve the best-performing combinations of headlines, descriptions, images, and CTAs to different buyer segments.
Video Creative Development for TikTok and Instagram
Briefing and producing short-form video creative for TikTok and Instagram ecommerce advertising — developing the native, non-interruptive video creative formats that perform on social platforms, including UGC-style product demonstrations, before-and-after transformations, problem-solution narratives, trending audio integrations, and creator partnership briefs — and building the systematic creative testing framework that identifies which video angles, hooks, and formats drive the strongest view-through and purchase rates for your specific product category and target audience demographics.
Creative Performance Monitoring and Fatigue Management
Monitoring ad creative performance on a weekly basis across all ecommerce advertising channels — tracking frequency, cost per purchase trends, creative fatigue signals, and declining ROAS on individual ad units — and managing the creative refresh cadence that maintains campaign performance by retiring fatigued creative before performance deteriorates, briefing replacement creative based on data from winning ad variants, and building the creative pipeline that ensures your ecommerce advertising always has fresh, tested creative assets in rotation before fatigue causes performance to decline.
Product Feed and Creative Optimization Benefits
- 34% higher Shopping CTR from keyword-optimized product titles and attributes
- Custom labels enabling margin-based bidding across your full product catalog
- 2.1x higher ROAS from optimized creative versus unoptimized control creative
- Meta catalog optimized for Dynamic Product Ad personalization and quality
- Creative testing framework identifying top performers before full budget commitment
- Fatigue management preventing performance decline on all active ad sets
Cart Abandonment and Checkout Retargeting Campaigns
Building dedicated cart abandonment and checkout retargeting campaigns across Google Display, Meta, and programmatic channels — serving urgency-driven ads featuring the exact products visitors left in their cart, with time-sequenced messaging that applies progressive urgency signals from initial reminders through to promotional offers for high-value abandoned carts — recovering the purchase intent of shoppers who have already expressed clear buying intent but failed to complete the transaction before navigating away from your ecommerce store.
Product View and Category Browse Retargeting
Running product view and category browse retargeting campaigns that re-engage shoppers who viewed specific products or browsed defined categories without converting — serving Dynamic Product Ads featuring viewed items alongside complementary recommendations, applying Progressive retargeting sequences with escalating creative formats across the days following a non-converting visit, and segmenting audiences by product category viewed to serve the most relevant retargeting creative for each visitor’s demonstrated product interest within your ecommerce catalog.
Customer Win-Back and Lapsed Buyer Campaigns
Building customer win-back advertising campaigns targeting lapsed buyers who have not repurchased within a defined window — segmenting lapsed customer audiences by time since last purchase, average order value, and product category purchased, serving re-engagement ads with relevant new arrivals, seasonal promotions, or loyalty offers calibrated to each segment’s purchase history — recovering commercially valuable customers before they are permanently lost to competing ecommerce stores, at a cost per reactivation that is significantly lower than acquiring comparable new customers through prospecting campaigns.
Post-Purchase Cross-Sell and Upsell Advertising
Running post-purchase cross-sell and upsell advertising programs targeting your existing customers — serving product recommendation ads featuring complementary items to recent purchasers, running seasonal replenishment campaigns for consumable products, building category expansion campaigns for customers who have only purchased from a single product category, and developing loyalty advertising that reinforces brand relationship and purchase habit formation — growing customer lifetime value through paid media rather than relying exclusively on email to drive repeat purchase behavior from your active buyer base.
Customer Exclusion and Audience Suppression Management
Managing comprehensive audience suppression lists across your ecommerce advertising campaigns — excluding recent purchasers from prospecting campaigns to prevent wasted spend on customers who have already converted, suppressing high-frequency retargeting audiences once they reach optimal exposure thresholds, separating new and returning customer traffic for independent ROAS measurement, and building the audience management hygiene that ensures each campaign segment is reaching the appropriate audience tier rather than serving irrelevant ads to the wrong visitors at the wrong funnel stage.
Retention ROAS and Customer Lifetime Value Reporting
Reporting on the revenue contribution of retention and retargeting advertising programs — tracking cart recovery rate, cost per recovered purchase, repeat purchase rate by customer segment, customer lifetime value improvement, and the incremental revenue generated by retention campaigns versus organic repeat purchase behavior — to demonstrate the financial ROI of investing in existing customer advertising and provide the data inputs your ecommerce business needs to make informed decisions about the balance between new customer acquisition spend and retention investment within your overall ecommerce advertising budget.
Retargeting and Retention Advertising Benefits
- Cart abandonment campaigns recovering 70% of carts left before purchase
- 5x lower CPA on retargeting versus cold new customer acquisition campaigns
- Win-back campaigns reactivating lapsed buyers before they switch to competitors
- Cross-sell advertising growing LTV from your existing active buyer base
- Audience suppression preventing wasted spend on already-converted customers
- Retention ROAS reporting demonstrating the true value of repeat purchase investment
GA4 Ecommerce Tracking and Conversion Setup
Implementing and auditing Google Analytics 4 ecommerce tracking — configuring purchase events, add-to-cart events, checkout progression steps, transaction revenue, product performance reporting, and the ecommerce data layer implementation that passes accurate product names, prices, quantities, and categories with every conversion event — ensuring your GA4 account has the complete, accurate ecommerce data required to analyze product performance, evaluate advertising channel contribution, optimize bidding strategies, and report revenue attribution with the financial precision that profitable ecommerce advertising management demands.
Cross-Channel Attribution and Blended MER Reporting
Building cross-channel attribution models that give ecommerce advertisers a complete picture of how each advertising channel contributes to revenue — measuring blended Media Efficiency Ratio across total ad spend and total revenue, tracking channel-specific ROAS for Google Shopping, Meta, TikTok, and programmatic display, analyzing the multi-touch buyer journeys that lead to ecommerce purchase, and calculating the incremental revenue contribution of each channel beyond the organic baseline to identify where your advertising dollars are generating genuine new revenue versus taking credit for purchases that would have occurred regardless of paid advertising exposure.
Product-Level Profitability and ROAS Analysis
Analyzing advertising profitability at the product and category level — combining advertising cost per sale with product margin data to calculate true return on ad spend after product costs, connecting Google Shopping impression share and ROAS by product to identify the catalog items generating the most efficient advertising returns and those consuming budget below margin threshold — enabling the product-level advertising investment decisions that prevent high-revenue but low-margin products from distorting your blended ROAS while lower-volume high-margin products receive insufficient advertising exposure to reach their revenue potential.
New Customer Acquisition Rate and LTV Tracking
Tracking new customer acquisition rate as a primary ecommerce advertising KPI — measuring the proportion of advertising-driven purchases from first-time customers versus repeat buyers, calculating the average lifetime value of new customers acquired through each advertising channel, and using LTV data to set economically justified customer acquisition cost targets that enable your ecommerce advertising to scale new customer volume profitably rather than optimizing exclusively for short-term ROAS that may inadvertently concentrate budget on low-LTV retargeting audiences with limited incremental revenue potential.
Ecommerce Advertising Dashboard and Executive Reporting
Delivering weekly and monthly ecommerce advertising dashboards that consolidate ROAS by channel, revenue contribution, cost per acquisition, new customer rate, product performance, and budget pacing into a single executive view — presenting performance in the commercially grounded terms that ecommerce founders, marketing directors, and investors need to evaluate advertising program ROI, approve budget scaling decisions, and identify the channel and product opportunities where incremental investment will generate the highest additional profitable revenue return for your ecommerce business.
Advertising Budget Optimization and Revenue Forecasting
Running monthly ecommerce advertising budget optimization reviews — analyzing ROAS efficiency curves by channel, identifying the budget thresholds above which incremental spend generates diminishing returns, modeling the revenue impact of reallocating budget between Google Shopping, Meta, and other channels — and building rolling revenue forecasting models that project the ecommerce revenue impact of proposed budget changes before they are made, enabling your ecommerce business to scale advertising investment with confidence rather than through trial and error that wastes budget during the learning phase of every new campaign scaling decision.
Ecommerce Analytics and ROAS Reporting Benefits
- GA4 ecommerce tracking capturing accurate product and revenue data per channel
- Blended MER reporting measuring true advertising efficiency across all spend
- Product-level ROAS showing which catalog items are profitable to advertise
- New customer rate tracking preventing budget over-investment in retargeting
- Executive dashboards presenting ROAS and revenue in investor-credible terms
- Revenue forecasting enabling confident budget scaling without guesswork