NTN ECOMM study plan

Diagram the major e-commerce business models (B2C, B2B, C2C, D2C, marketplace, subscription, dropship, omnichannel, services) and label the revenue driver and primary cost driver for each

Compute contribution margin, CAC, and a three-year LTV for at least three of those models using worked numbers

Explain how repeat-purchase rate, return rate, and working-capital needs differ between inventory-holding and marketplace models

List the tax, privacy, and consumer-protection obligations that change depending on model and customer geography

Map storefront architecture components (catalog/PIM, CMS, search, cart and checkout, CDN, integrations) to the business function each serves

Compare hosted SaaS, licensed self-hosted, and headless/composable platforms on total cost, flexibility, and time-to-launch

Draft a category taxonomy, faceted navigation, and URL structure for a 500-SKU catalog

Specify mobile core-web-vitals targets and explain the revenue effect of slow largest-contentful-paint on checkout entry

Allocate a fixed monthly budget across paid search, paid social, organic/search, email, and affiliate, stating the role of each channel in the funnel

Calculate CAC, ROAS, and blended marketing efficiency ratio for a sample campaign and set bid and target thresholds from them

Structure keyword themes and audience segments so paid and organic efforts do not cannibalize each other

Contrast last-click, first-click, and data-driven attribution on the same sample conversion path and state which decision each supports

Design a retargeting and abandoned-cart sequence with frequency caps and suppression rules

Build a pricing architecture (anchor, good-better-best tiers, bundle, promotional depth) for a sample five-product line

Compute the unit-margin and breakeven volume impact of a 15% discount versus a 15% bundle-value add

Write titles, benefit bullets, and specification blocks for three SKUs that serve both shopper intent and on-site search indexing

Configure category-page ranking and search rules (synonyms, boosting, facets, out-of-stock handling) that surface high-margin items

Plan a six-week seasonal merchandising calendar that reconciles promotion timing with inventory position and markdown budget

Trace a card-not-present transaction through authorization, capture, settlement, refund, and chargeback, naming which party bears responsibility at each step

Compare cards, digital wallets, buy-now-pay-later, bank transfer, and gift cards on processing cost, conversion effect, and dispute risk

Apply PCI DSS scope-reduction tactics such as hosted fields and tokenization to a sample checkout flow

Build a fraud rule set with explicit thresholds and explain the trade-off between false declines and chargeback losses

Draft an address-verification and 3-D Secure step-up policy that minimizes friction for low-risk orders

Trace an order through payment capture, inventory allocation, pick-pack-ship, and delivery, and identify where exceptions are detected and resolved

Set inventory reservation and safety-stock rules and estimate their effect on oversell rate and days-on-hand

Design a returns and exchange flow covering eligibility, label issuance, restocking, and refund timing

Write service macros and a deflection plan for the five highest-volume contact reasons (where-is-my-order, returns, damage, payment failure, address change)

Define targets for CSAT, first-contact resolution, and contacts per order, and state how each is measured

Build a KPI tree from session to revenue and write the exact calculation for each metric including denominator choices

Perform a funnel and cohort analysis on sample data and judge whether an observed lift is distinguishable from noise

Draft an A/B test brief with hypothesis, primary metric, minimum detectable effect, sample-size estimate, and stopping rule

Specify an event and UTM taxonomy with QA checks so campaign and on-site data reconcile

Assemble a weekly executive dashboard with no more than ten metrics and a stated decision owner for each

Complete a timed 60-question practice set and log every miss by domain and by error type (knowledge gap, misread, calculation)

Re-study the two lowest-accuracy domains using the logged errors until domain accuracy exceeds 80%

Rehearse cross-domain trade-off reasoning such as fraud strictness versus conversion, and free-shipping thresholds versus margin

Write a one-page checklist linking acquisition, pricing, checkout, fulfillment, and service metrics into one operating rhythm