iDerive Analytics Platform
Cue, our AI layer on top of iDerive
iDerive unifies your marketplace data into one source of truth. Cue is the AI layer our team runs on top of it, turning that data into answers, alerts, and custom reporting for your brand in real time, so we spot problems and act before they cost you.
Our analysts query your live iDerive data the way you would ask a person, so you get answers instead of dashboards to dig through.
Every result comes back in contribution margin and true incrementality, not vanity ROAS.
Cue flags revenue variance, ad waste, and stockouts in real time and alerts your brand manager, so our team fixes issues before they hit your P&L.
Solving The Problem
With Marketplace Analytics
Managing multiple marketplaces means juggling multiple platforms: Amazon Seller Central, Vendor Central, Amazon Advertising Console, Walmart Seller Center, Walmart Connect, Target Partners Online, Target Roundel, plus dozens of others if you sell across multiple platforms. Every platform uses different metrics, reporting periods, and attribution models. Pulling it together takes hours of manual work, and even then, the numbers don't reconcile.
This fragmentation creates three critical problems. First, decision-making slows because every question requires data compilation from multiple sources. Second, insights get missed because patterns only visible across platforms remain hidden in siloed dashboards. Third, profitability calculations become guesswork because you can't easily connect revenue to all associated costs (platform fees, advertising spend, shipping, returns, chargebacks).
iDerive solves these problems by providing a single source of truth for all marketplace performance data. We ingest data from every platform you sell on, normalize it to consistent metrics and timeframes, and present it through intuitive dashboards that answer your most important questions instantly. How profitable is each ASIN after all costs? Which marketplace drives the best customer lifetime value? What's the true incremental impact of advertising spend? iDerive provides answers in seconds, not hours.
Core iDerive Features
How iDerive Works
Data integration forms iDerive's foundation. We connect to Amazon (SP-API, Advertising API, Brand Analytics), Walmart (Walmart.io APIs), Target (Partners Online), TikTok Shop, Shopify, and other platforms, pulling sales data, advertising performance, inventory levels, customer reviews, and operational metrics. This data refreshes hourly, ensuring dashboards always reflect current performance. For brands with high order velocity, this near-real-time visibility enables rapid response to trends and issues.
Next comes profitability analysis - iDerive's most powerful feature. We calculate contribution margin at the ASIN level by deducting all costs: platform referral fees, fulfillment fees, advertising spend, payment processing, shipping, returns, chargebacks, storage fees. You see which products genuinely drive profit (not just revenue), which advertising campaigns deliver profitable growth (not just efficient ROAS), and which marketplaces warrant increased investment (based on contribution margin, not just sales).
Finally, predictive analytics and forecasting help you plan proactively. iDerive's demand forecasting models (combining historical sales patterns, seasonality, promotional calendars, and external factors) predict future inventory needs with 85-90% accuracy, preventing stockouts and excess inventory. Our promotional planning tools model the revenue and margin impact of different discount strategies, helping you structure promotions that drive volume without destroying profitability.
The iDerive Advantage: Making Faster, Smarter Decisions
iDerive's competitive advantage isn't just convenience - it's speed to insights. When all performance data lives in one place with consistent metrics and timeframes, strategic questions that previously required days of analysis get answered in seconds. Should you increase advertising spend on this ASIN? iDerive instantly shows true incremental ROAS and profitability impact. Is Walmart or Target the better expansion opportunity? iDerive compares customer acquisition costs, conversion rates, and contribution margins side-by-side.
This speed enables continuous optimization rather than periodic reviews. Instead of monthly business reviews where you analyze last month's data and plan next month's tactics, iDerive enables daily check-ins that identify issues and opportunities while they're still actionable. Stockout risk detected three weeks before inventory depletion? Adjust forecasts and expedite reorders. Competitor launched a promotional attack? Model response scenarios and implement counter-tactics within hours, not days.
Perhaps most valuable, iDerive creates institutional knowledge that persists regardless of team changes. All historical data, testing results, seasonal patterns, and strategic insights live in the platform, not in someone's spreadsheets or memory. When team members change or you bring new products to market, proven frameworks and benchmarks are immediately accessible. You don't start from zero - you build on accumulated wisdom.
FAQ
Start by modeling contribution margin over the repurchase window, not the first order. If your LTV looks like $180 revenue against $45 ad spend over 18 months for a supplement brand, your LTV-adjusted break-even TACOS is 25%, not the 15% that first-order accounting would suggest. The catch is that Amazon's closed-garden attribution doesn't show repurchase cleanly. You need Subscribe & Save data plus brand-level order history to model it, and most agencies don't build the view. This is where AMC plus a warehouse pipe (iDerive for us, something similar elsewhere) earns back its cost inside of a year.
Amazon's Profit Analytics (launched Sep 2025) captures referral fees, FBA fulfillment fees, FBA storage fees, and your COGS. If you upload COGS, which most sellers never do. What it misses: PPC ad spend from non-Amazon sources, overhead allocation (ops salaries, warehousing beyond FBA), returns-adjusted contribution (it shows returns but doesn't bake them into the profit view cleanly), promotional discount absorption, and multi-channel brand costs. For a Seller Central-only brand with simple cost structure, it's roughly accurate. For a multi-channel brand or any brand with meaningful non-Amazon spend, it understates true landed-cost-to-profit by 15–30%.
Case Studies
See how Nectar's creative and strategy work has lifted partner brands into category leadership and, in several cases, opened growth channels the client hadn't yet considered.
