8+ years growing brands on KPIs, now with AI
Grow Your eBay Store Profitably
We manage Promoted Listings, Best Match ranking, and catalog health so your ACoS drops and sell-through climbs.
8+ years performance marketing · Google, Meta & TikTok partner · AI-assisted execution
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The Challenge
Running an eBay Store at Scale Is a Full-Time Optimization Job, and the Platform Keeps Moving the Goalposts
You live in Seller Hub. You track defect rate, late shipment rate, and unresolved cases the way other business owners track revenue, because on eBay, those numbers determine whether you keep your Top Rated Seller status, and TRS is worth a 10% final value fee discount plus 44% higher visibility in Best Match. Lose it mid-quarter because one carrier was late, and you feel the compounding hit to both margin and rank within days.
Cassini (eBay's search engine) is not a keyword matcher. It is a buyer-intent prediction engine that weighs your sales velocity, buyer engagement, feedback score, shipping speed, and total cost to the buyer including shipping, all in real time. A listing that picks up a burst of purchases and watchers can jump significantly in 24–48 hours. One that loses velocity slides just as fast. And a single missing item-specific (color, material, compatibility) removes a listing from filtered search results entirely, invisible to you in aggregate reporting but devastating to impressions at the SKU level.
Meanwhile, eBay's ad rate floor keeps rising. Promoted Listings Standard's minimum moved from 1% to 2%, then the Dynamic Ad Rate Cap floor moved to 5%. Suggested rates are now topping 20%+ in competitive categories. Sellers who set campaigns and walk away are silently bleeding margin every month while eBay's attribution window (30 days for PLS) makes it genuinely hard to know which spend is working.
At 1,000+ SKUs, all of this compounds. Item specifics debt across legacy listings suppresses entire catalog segments. Variation listings need consolidating to build sales velocity. The Search Query Report for Promoted Listings Advanced needs weekly pulls to find what buyers actually type, build exact-match terms, and prune negatives. It is a lot of machine to run, and most sellers hit a ceiling not because their products are wrong, but because the operational and advertising complexity outpaces what one person or a small team can manage with precision.
The Opportunity
Most eBay Sellers Are Leaving Real Margin on the Table, the Operators Who Fix That Win Disproportionately
Here is the structural reality: the majority of eBay sellers treat Promoted Listings as a dial they set once and forget, never pull a Search Query Report, and have item specifics gaps across 20–40% of their catalog. That is not a competitive market; that is a market full of operators who have handed you an edge if you are willing to take it.
Top Rated Plus status (requiring same-day or one-business-day handling and a 30-day free return window) delivers the TRS+ seal prominently in search results on top of the 10% FVF discount. In most categories, buyers see that badge and convert at a meaningfully higher rate. Sellers who qualify and protect that status operate at a structural cost and visibility advantage that compounds over time.
Promoted Listings Standard is pay-per-sale: you only pay when the ad produces a transaction. That is a fundamentally different risk profile than CPC advertising. An operator who knows how to set ad rates by margin tier, adjust based on ACoS weekly, and layer in Promoted Listings Advanced for high-priority SKUs can scale spend confidently because the model ties cost to outcome. Most sellers never get that granular.
And the sellers who combine clean catalog hygiene (complete item specifics, consolidated variation listings, strong sales velocity signals) with disciplined ad management are the ones Cassini surfaces first. The algorithm rewards the operators who feed it what it needs. Right now, most of your competitors are not doing that work at the level it requires.
What Most Get Wrong
What Most eBay Sellers (and the Agencies That Take Their Money) Get Wrong
Setting ad rates once and never adjusting them
eBay's suggested ad rates drift upward aggressively, and the Dynamic Ad Rate Cap floor is now 5%. Sellers who set a rate in January and check back in June are running campaigns at rates that either leave impressions on the table (rate too low) or quietly erode margin (rate too high relative to ACoS). Neither shows up as an obvious alert; it just shows up as a worse business.
Ignoring item specifics across legacy catalog
A listing with a missing color, material, or compatibility field is invisible to any buyer who uses a filter, which is a large share of serious buyers in competitive categories. At scale, this is not a listing problem; it is a revenue suppression problem hiding in aggregate impressions data that looks fine until you audit at the SKU level.
Never pulling the Search Query Report for Promoted Listings Advanced
PLA campaigns running without keyword mining are bidding blind. The Search Query Report shows exactly what buyers typed before clicking your ad. Without it, you are paying for irrelevant traffic, missing high-converting exact-match terms, and building no negative keyword list, which means the same waste repeats every week.
Treating TRS status as a given rather than a metric to protect daily
eBay evaluates seller performance on the 20th of each month and applies penalties before appeal resolutions process. A single carrier delay or a bad-faith buyer dispute can push a defect rate past the 0.5% threshold. Sellers who are not monitoring their Seller Dashboard weekly (tracking defects, late shipments, and unresolved cases in real time) get blindsided by downgrades that cost them both the FVF discount and visibility simultaneously.
Agencies running generic ecommerce playbooks on an eBay account
eBay is not Shopify and it is not Amazon. An agency that treats it like a Google Shopping feed or optimizes for ROAS without understanding Cassini, ACoS, Best Match signals, or TRS thresholds will improve the numbers they know how to read while leaving the ones that actually drive eBay growth untouched. The platform requires platform-native expertise.
Why Now
The Window to Pull Ahead on eBay Is Open Right Now, and It Will Not Stay Open Long
eBay's ad rate environment is getting harder, not easier. The minimum ad rate floor has moved twice in recent memory. eBay's December 2024 Marketing Terms update expanded Promoted Listings attribution and gave the platform explicit room to raise ad fee rates further with no advance notice to sellers. The sellers who build disciplined, margin-aware ad management now (before rates climb again) are the ones who will absorb those increases without flinching, because they already know their ACoS by SKU tier and can adjust in a week.
At the same time, AI has created a real operational gap between sellers who manage catalog and advertising manually and those who run AI-assisted workflows. Pulling the Search Query Report weekly, auditing item specifics across thousands of SKUs, monitoring Cassini velocity signals by listing, adjusting ad rates across campaigns by margin tier, each of these is a task that AI can accelerate dramatically. The sellers doing this work with AI assistance are running at a pace their competitors cannot match manually.
Most of your direct competitors are not doing this. They are still running set-and-forget campaigns, still carrying item specifics debt, still reacting to TRS downgrades instead of preventing them. The competitive gap between a well-operated eBay store and an average one is larger today than it was two years ago, because the platform is more complex, the ad environment is more expensive, and the operators who treat it as a precision instrument are pulling away from the ones who do not.
The Mechanism
Where AI Creates a Real Edge for eBay Sellers, and What It Actually Does
Real productivity, not AI theater. Here's where it actually moves a number for ebay sellers.
Analytics and attribution
What AI does: AI monitors ACoS by campaign and by SKU tier continuously, flags when suggested ad rates are drifting above your margin threshold, and surfaces the listings where impressions have dropped (a Cassini velocity signal) before the sales impact shows up in your weekly numbers.
The result: You catch ad rate creep and listing velocity drops in days, not weeks, and adjust before margin erodes or rank slides.
Why it matters here: On eBay, the 30-day PLS attribution window and the monthly TRS evaluation cycle mean problems compound quietly. An operator checking numbers weekly is already behind. AI watching continuously closes that lag.
Digital ads
What AI does: AI-assisted Search Query Report analysis for Promoted Listings Advanced: pulling the report, identifying high-converting search terms to add as exact match, flagging irrelevant queries for negatives, and recommending ad rate adjustments by margin tier across Standard campaigns, done weekly instead of monthly.
The result: PLA campaigns that actually reflect what buyers type, with a negative keyword list that grows every week and ad rates calibrated to your actual margin by product line rather than a single rate across the catalog.
Why it matters here: eBay's suggested ad rates are set to maximize eBay's revenue, not your profitability. An operator adjusting rates based on real ACoS data (not eBay's suggestions) keeps more margin as the platform's rate floor rises.
Conversion optimization
What AI does: AI-assisted item specifics auditing across the full catalog: identifying listings with missing optional specifics (compatibility, material, color, size type) that are suppressing filtered search visibility, prioritized by category competitiveness and impression share.
The result: Catalog segments that were invisible to filtered-search buyers become visible, recovering impressions that were being lost silently at the SKU level.
Why it matters here: At 1,000+ SKUs, a manual item specifics audit is a months-long project that never gets done. AI can surface the highest-impact gaps in hours, turning a perpetual backlog into a weekly maintenance task.
Creative
What AI does: AI-assisted listing copy optimization: analyzing top-performing listings in your category for title structure, keyword placement, and bullet cadence, then generating and testing variants across your catalog to improve click-through rate from Best Match results.
The result: Higher click-through on impressions already being earned, which feeds Cassini's engagement signal and compounds into better organic rank over time.
Why it matters here: Cassini weighs buyer engagement (views, clicks, watchers) as a ranking signal. A listing title that earns more clicks from the same impressions creates a compounding advantage: better engagement, better rank, more impressions, more sales.
SEO
What AI does: Terapeak-informed keyword research combined with AI analysis of Cassini ranking patterns: identifying the search terms with high buyer intent and low listing competition in your category, then building those terms into titles, item specifics, and listing descriptions systematically.
The result: Organic Best Match visibility for high-intent, lower-competition queries that your current listings are not capturing, reducing reliance on paid ad rates to drive traffic.
Why it matters here: Every point of organic visibility you build reduces the ad rate you need to run to stay competitive. As eBay's minimum ad rates rise, the sellers with strong organic rank have more margin headroom than those who depend entirely on Promoted Listings.
Ready to see what this looks like for your ebay sellers business?
No obligation. A senior strategist will show you exactly where the wins are.
The Strategy
How eBay Store Growth Should Actually Be Run
The governing logic for an eBay store is different from every other ecommerce channel. You are not running a Shopify store where you control the full buyer journey. You are operating inside a marketplace where Cassini decides who gets seen, where your seller metrics determine your fee structure, and where your ad spend efficiency is measured in ACoS, not ROAS on a platform dashboard you built yourself.
The strategy starts with the foundation: Top Rated Seller status must be protected as a non-negotiable. That means monitoring the Seller Dashboard weekly (not monthly), tracking defect rate, late shipment rate, and unresolved cases against the thresholds (0.5% defect, 0.3% unresolved cases, 3% late shipments) before the 20th-of-month evaluation, not after. TRS is worth too much (10% FVF discount plus 44% visibility) to lose to a metric that drifted past threshold without anyone noticing.
Catalog hygiene runs in parallel. Every listing needs complete item specifics: not just required fields, but optional ones too, because in competitive categories, optional specifics separate listings that appear in filtered results from listings that do not. Variation listings need to be consolidated where possible to concentrate sales velocity onto single listing records rather than fragmenting it across individual SKUs. Sales history is a Cassini ranking signal; fragmented velocity is a disadvantage.
On the advertising side, Promoted Listings Standard campaigns need ad rates set by margin tier (not a single rate across the catalog) and reviewed weekly against ACoS, not eBay's suggested rates. Promoted Listings Advanced campaigns need the Search Query Report pulled weekly: high-converting terms added as exact match, irrelevant queries added to negatives, bids adjusted based on actual performance data. The target daily budget model eBay moved to in November 2024 means spend can run up to 50% above daily budget on high-traffic days; operators need to know their weekly spend ceiling, not just their daily input.
Offsite ads and any external traffic (Google Shopping, Meta) need to be tracked against a blended view of performance, not evaluated in isolation. eBay's 30-day PLS attribution window means platform-reported numbers require interpretation, not just reading.
The one number that governs this
The governing KPI is blended ROAS across organic and paid, with ACoS (ad fees ÷ ad sales × 100) as the platform-native efficiency metric for every Promoted Listings decision.
How We Help
What We Would Actually Do for Your eBay Store
We start where the strategy demands: fixing the foundation before scaling the spend. For an eBay store, that means getting your seller metrics bulletproofed, your catalog cleaned up, and your attribution trustworthy before we touch ad rates. Here is how the engagement runs in practice.
Seller performance monitoring and TRS protection
We track your defect rate, late shipment rate, and unresolved cases against TRS thresholds weekly (not monthly), so you know where you stand before the 20th-of-month evaluation, not after. We flag risk before it becomes a downgrade.
Catalog hygiene and item specifics audit
AI-assisted audit of your full catalog to identify item specifics gaps by category, prioritized by impression impact. We work through the backlog systematically and build a process so new listings go live complete.
Promoted Listings Standard management
We set ad rates by margin tier across your catalog (not a single rate) and review ACoS weekly, adjusting based on your actual profitability thresholds, not eBay's suggested rates. We manage the target daily budget model so weekly spend stays within your parameters even on high-traffic days.
Promoted Listings Advanced keyword management
Weekly Search Query Report pulls: high-converting terms added as exact match, irrelevant queries added to negatives, bids adjusted by performance. Your PLA campaigns reflect what buyers actually type, and the negative keyword list grows every week.
Cassini SEO and listing optimization
Terapeak-informed keyword research to identify high-intent, lower-competition queries in your category. AI-assisted title and listing copy testing to improve click-through from Best Match results and feed Cassini's engagement signals.
Analytics and blended attribution
We build a blended view of performance across eBay organic, Promoted Listings, and any offsite channels, so you are making budget decisions on real numbers, not platform-reported figures inflated by eBay's 30-day attribution window.
Who's Behind This
Who we are, and what makes us different
Sagum is a performance marketing agency founded in January 2017 in St. George, Utah. We've spent 8+ years growing real brands and being judged on KPIs, not vanity metrics.
We deliberately limit how many clients we take so each one gets senior attention. We treat your numbers like our own, we never run generic playbooks, and your strategy is built for your business, because shouldn't your brand's marketing be custom to your brand?
Sagum.ai is our AI arm: the same proven operators now build AI into the work wherever it creates real edge, not as theater, but as leverage applied with discipline.
- 8+ years growing brands on performance KPIs, not vanity metrics
- Limited client roster, with senior attention on every account
- An extension of your team; your success is tied to ours
- Custom strategy per brand, never a generic playbook
- AI built in where it moves a number; judgment over hype
“Sagum is a performance marketing agency that's spent 8+ years growing brands by treating their numbers like our own. We take on few clients, never run generic playbooks, and now build AI into the work wherever it creates real edge, not hype. Your strategy is built for your business, and our success is tied to yours.”
“After six years, Sagum is our most important partner: trusted, communicative, and caring about our business as if it's their own.”
Proof
Reversed 3 years of decline to 237% YoY
Bisaddle
Challenge
Bisaddle had watched three consecutive years of declining sales: the kind of slow erosion that is easy to rationalize quarter by quarter but impossible to ignore in the aggregate. The product was right; the execution had fallen behind.
What we did
We rebuilt the strategy from the foundation: fixed attribution so the numbers were trustworthy, redesigned the site to eliminate conversion friction, and rebuilt the advertising approach around what was actually working. Email was brought in-house and grown as a revenue channel.
Result
The result was 237% year-over-year growth. The site redesign doubled page speed and lifted conversion 122%. Email grew to represent 48% of total revenue. Three years of decline reversed in one focused engagement.
Ready to Run Your eBay Store Like a Precision Instrument?
No obligation. We will look at your actual Seller Hub numbers (ACoS, TRS status, item specifics coverage, ad rate structure) and tell you exactly where the growth gap is and what we would do about it. Built for your store, not a generic playbook.
Sagum · January 2017 · St. George, Utah · 8+ years