Workflow: Conceive → Validate → Launch → Optimize

1) Conceive — Data-driven opportunity pool

Inputs from Eplazas's excel

• Growth — Top 20 Fastest / product speed: where demand is rising (e.g. phone holder, lanyard/strap, charger/cable/block)
• Demand — Keyword Sales Impact: high-intent terms (car/mount, holder/stand, iphone/compatible)
• Price bands — From FF: median and average price → set traffic / profit / flagship tiers
• Rating bar — Average star from FF → quality bar; low-price SKUs must beat common negative-review points (material, structure, packaging, support)
• Brands & BCG — Who is strong, who to copy or avoid; decide generic vs brand supply, and whether to build brand/collection pages

Deliverable: Opportunity backlog (update weekly)

One card per opportunity (in a new sheet, Notion, or Trello). Each card:

• Direction — e.g. “Vacuum car magnetic holder”, “Phone lanyard strap”, “5-in-1 charger block”
• Target scene — in-car navigation, commute, desk, travel
• 3 selling points — e.g. strong hold / no vent damage / one-hand release
• Price strategy — traffic / profit / flagship
• 3 reference links — from FF urllink
• Risks — returns, compatibility, quality, IP
• Validation method — which layer (A/B/C) and how

Opportunity score (sort to get Top 20)

Score = demand × growth × reputation × margin potential × supply readiness − risk.

• Demand: sum of sales_quantity by direction, or keyword Total_Sales
• Growth: Top Fastest increase or your own time-based calc
• Reputation: average star by direction
• Margin potential: higher price band + smaller size + lower returns → higher (rule-based score)
• Supply readiness: stable supply, lead time, MOQ, QC
• Risk: IP, certification, fragile, high returns, support cost

Output: this week’s Top 20 opportunity list → input to Validate.

2) Validate — Prove “it sells, it profits, we can deliver”

Goal: all three true — people click/add/buy; unit economics work; supply can deliver (quality, lead time, consistency).

A. Zero-cost (1–3 days)

• What — Soft launch: “coming soon” or preview page (no payment). Title, 3 images, price range, key selling points, FAQ, one strong CTA (notify when in stock / wishlist)
• Traffic — Site nav, SEO, social, email (low cost)
• Thresholds — CTR (impression→click) ≥ 2% (recommended) or ≥ 1% (organic); “notify/wishlist” ≥ 3% (visit→action). Page dwell and scroll depth enough to show users read the offer.

B. Low-cost (3–10 days)

• What — 1–3 SKUs, small batch (e.g. 30–100) or pre-sale; small ad spend (enough for dozens to hundreds of clicks)
• Track — Conversion, refund/cancel, support pain points
• Thresholds — Conversion ≥ site average (e.g. 1.2×); refund/cancel < 5%; support issues fixable (e.g. change supplier or spec)

C. Supply (in parallel)

• QC: sample 10% or at least 10 units; pass rate ≥ 95%
• “Negative-review list”: top 10 reasons from reviews/support → verify each
• Unit landed cost, packaging, damage rate, volumetric weight, return cost; logistics < 15–25% of price (adjust to your margin)

Three required outputs (e.g. new Excel sheets)

• Validation log — date, SKU, channel, spend, impressions, clicks, add-to-cart, orders, refunds, support issues
• Unit economics — price, platform fee, ad, COGS, shipping, packaging, return loss, net profit
• Issue tracker — issue, frequency, solution, owner, due date

eplazas reports (demand, pricing, competition) tell you what to validate and what price/position to test.

3) Launch — Listings that get found, convert, and reduce returns

Launch = SEO + clear offer + trust + post-purchase clarity. Checklist per SKU:

Title & keywords

• Use Keyword sheet; drop stopwords (for, with, the, and). Keep strong-intent: car, mount, holder, magnetic, vacuum, stand, lanyard, strap, charger, usb-c, iphone.
• Structure — Scene + category + core selling points + compatibility/specs. Example: “Car magnetic holder | Vacuum suction | 360° rotation | Multi-model”

Images (min 6)

• 1 hero (white background, clear structure); 1 in-use (car/desk/commute); 1 comparison (your advantage vs common pain); 1 size/compat; 1 material/detail; 1 policy/support (e.g. 7/30-day, contact)

Copy (3-5-7)

• 3 one-line selling points (scannable in 5 sec); 5 feature bullets; 7 FAQs that address return drivers: compatibility, install, strength, “does it damage car”, “does it fall”, heat, warranty

Collection pages

Group by use case using Keyword Sales Impact: e.g. car mount / vacuum / magnetic; lanyard / strap; charger / cable / block; stand / holder. Name modules with clear entry terms.

4) Optimize — Each SKU as a growing asset

Weekly

• Funnel: impressions → clicks → add-to-cart → order → refund. Pick the weakest step; run one A/B test (one variable: e.g. main image, title, price anchor)
• If CTR low: image/title/price anchor. If add-to-cart low: selling points/comparison/FAQ. If order low: shipping/coupon/trust. If refund high: compat copy, expectation, QC, or supplier change.

Monthly

• Quadrant by volume × profit: high/high → scale (inventory, bundles, more options); high/low → raise price, cut cost, reduce waste, bundle; low/high → more exposure, page/SEO; low/low → delist or clear

Priority rule

Priority = (traffic × conversion upside × profit upside) ÷ change cost. A high-traffic, low-conversion SKU with small conversion gain can beat optimizing a SKU nobody sees.

Eplazas trend and BCG reports help choose where to reallocate and what to watch next month.

5) First 14-day run (using Eplazas's excel + Eplazas)

• Day 1–2 Conceive — Use Top 20 Fastest + Keyword Sales Impact to pick 10 direction cards. Each: scene, 3 selling points, target price, risks, validation method.
• Day 3–6 Validate A — Create 10 “preview” pages. Collect: clicks, wishlist/notify, dwell, comments.
• Day 7–10 Validate B — From top 3 directions, pick 1–2 SKUs each (3–6 total). Small batch or pre-sale; light traffic. Build: Validation log, Unit economics, Issue tracker.
• Day 11–14 Launch + first optimization — Full launch for SKUs that pass thresholds (images + FAQ). Run 2 A/B tests (e.g. image vs image, price anchor vs price anchor, one variable at a time). Write a 14-day recap: keep, scale, or drop.

6) Data cleaning (affects Conceive and Launch)

If Eplazas's excel has a “color” or attribute column that mixed in non-color text (e.g. “learn more about climate neutral…”), clean it for Conceive and for Launch keywords:

• Remove stopwords (for, with, etc.) and promo/cert fragments (climate, learn more, recycled, etc.)
• Keep only your defined color set or short alphabetic tokens

This improves filters, attributes, and SEO collection pages.

Using Eplazas in this workflow

• Conceive — Product viability, demand/seasonality, growth reports from Eplazas's excel → opportunity pool and Top 20
• Validate — Pricing and competition reports → what to test; keep Validation log and Unit economics in sync
• Launch — Keyword and template reports → titles, selling points, structure; build collection and listing checklists from data
• Optimize — Trend and BCG reports → weekly focus and monthly quadrants; combine with your funnel and profit data