Strategic Amazon advertising, measurement, and funnel optimization built to improve profitability and reduce CAC for Shopify, WooCommerce and Amazon-first brands.
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Discover what makes us different
One of the first verified Amazon Ads partners in South Africa.
Sellers average 250% sales growth, backed by R20M+ in Amazon revenue driven.
Sponsored ads and organic listing optimisation managed as one strategy.
Titles, bullets, A+ content and imagery rebuilt to convert browsers into buyers.
Here's what sets us apart from the competition
Find answers to common questions
Yes - Prebo Digital uses GA4, Google Tag Manager, server-side tracking, and ETL to ingest Amazon order and ad data into analytics and BI systems, enabling consolidated attribution and cross-channel measurement. This supports more accurate channel comparisons and decisioning.
The right choice depends on margin structure, CAC, LTV and customer lifecycle: Amazon is effective for demand capture and scale, while an owned store is better for customer lifetime value and margin retention. We recommend evaluating profitability per channel and implementing systems to migrate repeat buyers to owned channels where feasible.
Scaling is done through a structured framework: granular campaign segmentation, controlled budget tests, ROAS and CAC thresholds, listing optimisation, negative keyword management, and automation-supported bidding rules. Each step is validated with clean attribution to ensure growth aligns with profitability targets.
Prebo Digital reconciles Amazon ad reports with first-party order and backend data using server-side tracking and ETL pipelines to produce accurate ROAS, CAC, and MER. This measurement prioritises revenue and profitability metrics over platform-reported conversions.
Conversion optimisation focuses on data-driven changes to images, titles, bullet points, A+ content, pricing tests, review management, and backend search terms, coupled with incremental experiments. Impacts are measured using order-level attribution and experiment results rather than surface metrics alone.
In This Article
Revenue-first strategy
Clean attribution
Structured growth cycle
Amazon marketing solutions must do more than increase clicks - they need to move profit. Our approach aligns Sponsored Products, Sponsored Brands, and DSP activity to a clear revenue objective: improve margin-adjusted return while lowering customer acquisition cost (CAC). We focus on campaign structure, attribution clarity, and funnel-led optimizations that scale repeatable growth for US-based sellers and omnichannel brands.
Each channel requires different creative, bidding, and attribution rules. We map channels to funnel stages and business outcomes to avoid optimizing for impressions or clicks alone.
This funnel mapping is paired with bid and creative tests that aim to increase conversion rate and lower ACoS while tracking profitability at the order level.
For a consolidated view of service offerings and how Amazon fits into a larger growth system, visit our Services Overview. To see how we combine platform-level ads with web and analytics engineering, view our homepage for examples of integrated funnels and tracking.
Amazon’s closed ecosystem makes cross-channel attribution challenging. We implement a measurement stack that ties Amazon conversions to downstream revenue and lifetime value where possible. That includes order-level reporting, Amazon Advertising reports, and stitching external touchpoints using first-party data where allowable.
Key tracking actions we typically perform:
Our execution follows a consistent cycle: strategy, technical build, hypothesis-driven tests, scaled deployment, and transparent reporting. For many US sellers we include monthly retainers that cover campaign management, creative optimization, and measurement engineering so that growth is sustained and measurable over quarters, not weeks.
To improve attribution accuracy we combine Amazon Advertising data with cross-platform analytics. Where brands sell both on Amazon and direct channels (Shopify, WooCommerce), we reconcile orders and apply server-side ETL to reduce data loss. This produces cleaner MER and CAC calculations, informing bid strategies that prioritize profit over raw ROAS.
Example (illustrative, US context): if a product generates $50 average order value and a blended CAC of $10, optimizations target improving conversion rate or reducing media waste so LTV:CAC moves from a 3:1 toward more profitable ranges. These figures are estimates and should be validated with account-level data.
Learn more about our company and approach on our About page, or if you have a specific Amazon challenge, start a conversation via our contact page.
We design measurement systems that respect US privacy regulations and platform policies. That includes careful handling of first-party identifiers, opt-out mechanisms where required, and conservative modelling to account for blocked cookies or API limitations.
Here's what sets us apart
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