Overview
Amazon gets harder to operate as a brand scales. More SKUs, more campaigns, more marketplaces, and more data create thousands of interconnected decisions that smaller sellers simply don’t have to make. Amazon captures more than 40% of all US ecommerce, six times its nearest competitor. At that level, the brands pulling ahead aren’t simply spending more. They’re making better decisions, faster, across advertising, pricing, inventory, and audience strategy.
That's what Trellis is built for.
Revenue, margin, and market share are the goal. Ads, pricing, audience signals, and inventory data are all levers toward that goal, and they work better when they're coordinated. Many Amazon tools automate one piece of the operation and leave larger teams to connect the rest manually. Trellis connects them.
That means handling the volume of decisions that becomes unrealistic to manage manually at scale: bids across thousands of targets, keyword harvesting, budget pacing, pricing adjustments, all running in a system where each signal informs the next. The operator controls the logic behind every decision. You choose how each campaign optimizes, set the rules that govern behavior, and can verify what's happening and why. Less time managing the machine means more time, and more margin, going toward growth.
Brands like ZWILLING J.A. Henckels, Momofuku, South Shore Furniture, Mountain Warehouse, and Backyard Discovery use Trellis to manage increasingly complex Amazon operations without surrendering visibility into how growth is being generated.
For established Amazon brands operating at scale, software is already part of the equation. The more important question is whether that software can handle the complexity of the business without forcing teams to stitch together separate tools, reports, and workflows.
Pricing
Trellis charges a flat platform fee. Costs don't grow proportionally with your ad spend. Managed services are available as a flat add-on, separate from the platform. Short-commitment pilots and flexible deal structures are available for brands that want to prove value before scaling.
The Details
Advertising
For brands managing large campaign portfolios, Trellis offers 6 distinct optimization algorithms, each with a different logic and lookback window, not parameter settings on the same engine. A new product launch needs aggressive velocity bidding. A mature SKU needs efficient harvest. A margin-protection play needs a ceiling on spend. Trellis lets you assign different optimization logic per campaign. The algorithm you choose runs with full transparency: bid logs, a rules engine that fires on conditions you define, and a Bid Simulator that lets you model changes before they go live.
Dynamic Pricing
Buy Box-aware repricing with margin visibility after FBA fees. When a price change affects conversion rate, the ad algorithm responds automatically. When inventory hits a defined threshold, bids adjust without anyone having to catch it. This matters most when pricing, ad spend, and inventory are changing across a large catalog, where manual intervention quickly becomes impractical.
Coordinated Data Layer
This is where Trellis starts to separate itself from tools built for simpler Amazon operations. Ads, pricing, and inventory signals share a single data layer. AMS Marketing Stream delivers hourly performance data, where most platforms run on 24 to 48 hour report pulls. AMC audience data applies directly to Sponsored Products and Sponsored Brands, not just DSP. B2B and consumer campaigns run on separate budgets and optimization logic, because they're different channels.
Analytics and Reporting
TACoS, margin-after-fees, share of voice, new-to-brand versus repeat, and LTV in one dashboard, not three separate reports. For operators managing multiple product lines, campaigns, or marketplaces, that consolidation removes a significant amount of manual reporting work. Reporting is powered by Amazon Marketing Cloud (AMC), which surfaces shopper behavior across the full path to purchase, not just the last click. Digital Shelf analytics track keyword-level query share alongside organic and sponsored rank in the same view. Change annotations log what happened and why, with before-and-after performance attribution so you can explain a TACoS shift without digging through three separate tools.
Demand-Side Platform (DSP)
For mature Amazon brands already investing beyond Sponsored Products and Sponsored Brands, Trellis also manages Amazon DSP campaigns alongside sponsored ads in a single workflow. DSP lets you serve display, video, and audio ads across Amazon properties and the broader web: Prime Video, Kindle, third-party sites, and more. Audience targeting is behavioral, contextual, and lifestyle-based, and AMC data feeds directly into audience creation and frequency optimization. That means remarketing and prospecting campaigns built on real shopper behavior, not guesswork, with the same visibility into performance that governs the rest of your Amazon strategy.
Audience Builder+
Larger omnichannel brands often operate Amazon and DTC customer data in separate systems, which makes coordinated audience strategy difficult. Audience Builder+ connects your Shopify and DTC first-party data with Amazon Marketing Cloud, so you can build lookalike audiences, run remarketing campaigns, reduce cart abandonment, and cross-sell into your existing customer base, all through your Amazon Sponsored and DSP campaigns. Audiences sync daily. No SQL required.
TikTok Shop
For Amazon brands expanding beyond marketplace-native demand generation, Trellis connects TikTok Shop activity back to the wider Amazon operation through TikTok Reach, a creator outreach and campaign management tool built for ecommerce. Access a directory of 4M+ creators, manage partnerships at scale, and measure the Amazon halo effect of TikTok-driven traffic through AMC. For larger brands investing in off-platform awareness and want to see how it converts on Amazon, this closes that loop.
Walmart
Multi-marketplace brands can run Walmart advertising automation alongside Amazon in the same platform. Sponsored Products, Walmart DSP, dynamic pricing, and audience targeting, including custom audiences built from behavioral data and frequency-capped campaigns, all managed with the same optimization logic applied to your Amazon operation.
Managed Services
Trellis also offers managed services for brands whose Amazon operation is large enough to require both strategic oversight and day-to-day execution support. A two-tier team structure: a strategic CSM for category pattern recognition and strategy, and a separate execution team for monitoring and campaign management. Automation handles roughly 80% of the optimization work. The human team focuses on the decisions that require judgment. The brand has full visibility into what the CSM is recommending and executing, decisions not just outcomes.
What That Looks Like in Practice
At scale, even a seemingly simple instruction like “hit this ACoS target” breaks down. A large catalog can contain launch SKUs, mature hero products, margin-protection plays, seasonal products, and competitive keywords, each requiring different optimization logic. pplying the same optimization logic across hundreds or thousands of products means some products are systematically overspent, some are starved of budget, and the aggregate number looks fine while the individual results quietly underperform.
Trellis lets you differentiate. A launch SKU runs growth-at-any-cost to build velocity. A hero SKU runs efficient harvest. A competitive keyword runs position defense even when returns compress. Each product gets the logic that fits its actual job.
The compounding effect of that over time is real. Fewer misdirected dollars. Better margin visibility. More budget going to what's actually working. For large Amazon operations, that compounds quickly. The advantage isn’t just automation; it’s making fewer avoidable mistakes across thousands of decisions, consistently.
That's what Trellis is built to deliver.
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Features
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Ease of Use
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Reporting
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Integrations
