iDerive Analytics Platform

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
Category and brand maturity drive the split more than any universal rule. For a mature brand in a branded-search-dominated category (established supplements, legacy CPG), a reasonable starting split is 65% Sponsored Products / 15% Sponsored Brands / 10% Sponsored Display / 10% DSP. Brands in commodity categories without a dominant search term benefit from pushing Sponsored Brands higher (25%) and DSP harder (20%) to earn share of voice rather than defend it. The common mistake: brands running $50K/month on Sponsored Products with zero DSP because Sponsored Products feels more measurable, leaving 30–40% of addressable demand unreached.
Holdout-market testing is the only clean answer. Pause Amazon ad spend in a geographically controlled holdout market for 3–4 weeks while running normally elsewhere, and measure DTC lift in the control versus holdout. AMC's cross-channel overlap reports help but require DSP plus a non-trivial identity stitch between Amazon shoppers and DTC CRM. Anything short of holdout testing is correlation, not causation, and correlation gets you a 70% overattributed halo number that justifies any budget decision you want. Most brands we work with discover actual halo is 15–25% of what their previous agency was claiming.
Amazon agencies typically charge $3K–$15K/month for management retainers and $8K–$20K/month for full-service engagements that bundle ads, creative, catalog ops, and case management. Some agencies pair the retainer with a percentage of ad spend (2–5%) or a percentage of marketplace revenue (3–8%). Performance-only deals that charge 15–25% of ad spend with no retainer exist but are rare. Most agencies don’t take that risk below $500K annual Amazon revenue.
You own your Amazon ads account, not the agency. A reputable agency operates with user permissions inside YOUR Seller Central or Vendor Central login, never a parallel account under their banner. If an agency insists on running ads through their own account, walk away. When the contract ends with an agency that owns the account, so does your PPC history, keyword learning, and account-level eligibility. Nectar never runs client ads out of its own account.
Hire an Amazon agency above $250K/month in revenue, consider it between $50K and $250K/month if you don’t already have a dedicated internal marketer, and stay DIY below $50K/month where the learning curve is cheap and the upside of expertise is modest. Between $50K and $250K/month, PPC optimization becomes a second job. Most solo founders break here. Above $250K/month, the opportunity cost of your time plus the compounding damage of a poorly run account usually makes hiring an agency a cheaper decision than staying in-house.
Four non-negotiables: (1) all ad accounts operate under your login credentials, not the agency's; (2) all raw data — AMC queries, campaign builds, search-term reports — is yours, exportable on 30-day notice in usable formats; (3) creative IP (photography, video, A+ Content) transfers to you on payment with clear commercial usage rights; (4) a no-solicit or neutral-zone clause that prevents the agency from pitching direct competitors during the engagement using your performance data. Agencies that push back on any of these are optimizing for their leverage, not yours.
Run a structured diagnostic on the three levers an agency actually controls: ad efficiency (campaign structure, negative keyword hygiene, bid discipline), catalog optimization (listing quality, A+ Content depth, keyword coverage in titles and bullets), and reporting cadence (what gets proactively flagged versus what's reactive). Pull 90 days of Sponsored Ads reports and score against category benchmarks. A good agency shows continuous experimentation signal in the data; a coasting one shows flat campaign structures untouched for months. You don't need an RFP to know whether your agency is coasting. You need two hours with your data and a category benchmark.