Pinduoduo Virtual Practice 2.0: Two Operating Strategies, Product Selection & Testing, Multi-Store Matrix Setup, Automated Fulfillment and Link Splitting

Course Introduction:
This set of 'Pinduoduo Virtual 2.0' courses explains two core strategies for low-barrier virtual products and the multi-store matrix model. It teaches you to mine competitors' products and expand selection, using software to batch-upload items and save time; it separately covers the 1-yuan low-price distribution model and the 19.9-yuan high-price promotion strategy, using low-cost direct-ads testing to continuously filter quality products. It also covers building sales and reviews, tiered price increases, viral link splitting, using full-store hosting, auto-reply and automated fulfillment to build a multi-store matrix—instead of forcing a single store to carry the load—to batch-scale virtual-store revenue.

Course Outline:
01. 'Pinduoduo Virtual 2.0' Low barrier + 2 strategies + multi-store matrix
02. 'Pinduoduo Virtual 2.0' Miscellaneous selection: regardless of right/wrong/good/bad at first
03. 'Pinduoduo Virtual 2.0' Scraping competitors: search words to find products then stores
04. 'Pinduoduo Virtual 2.0' Expanding selection: grow good products into a group
05. 'Pinduoduo Virtual 2.0' Software item moving: reduce upload time
06. 'Pinduoduo Virtual 2.0' Strategy 1: mass distribution selling at 1 yuan low price
07. 'Pinduoduo Virtual 2.0' Direct ads: low-cost batch product testing
08. 'Pinduoduo Virtual 2.0' Continuous product filtering: keep good items delete bad ones
09. 'Pinduoduo Virtual 2.0' Sales: 1 person pushing N sales and N reviews
10. 'Pinduoduo Virtual 2.0' Tiered pricing: add 1 yuan per 100 sales
11. 'Pinduoduo Virtual 2.0' Strategy 2: 19.9-yuan high-price hard promotion
12. 'Pinduoduo Virtual 2.0' Good-item splitting: 1 grows into N links layout
13. 'Pinduoduo Virtual 2.0' Full-store hosting: move low-ROI items to hosting
14. 'Pinduoduo Virtual 2.0' Auto-reply demo + automated fulfillment demo
15. 'Pinduoduo Virtual 2.0' Multi-store matrix: one store not for many, N stores