Overview

Helium 10 released the second half of its “22 Product Research Strategies for 2022” series, adding twelve new tactics that sellers can start using right away. The update focuses on deeper use of Helium 10’s own suite, mining Amazon gift‑guide data, applying investment‑style sourcing, and tapping Walmart’s bestseller lists. Sellers who integrate these approaches can locate higher‑margin products faster and cut the trial‑and‑error phase of research.

Key Points

• Tool‑driven discovery — Helium 10’s Black Box, Xray Chrome extension, and Trendster let users filter by price range, sales rank, and review count, delivering a shortlist of viable items in seconds.
• Gift‑guide mining — Scrutinizing seasonal and niche gift guides surfaces demand spikes that standard keyword tools often overlook, such as a surge in “eco‑friendly toys” after a popular parenting blog post.
• Portfolio‑style investing — Treating product acquisition like a diversified investment portfolio encourages allocating capital across several low‑risk, fast‑turnover items rather than betting on a single high‑ticket SKU.
• Walmart cross‑platform scouting — Pulling top‑selling products from Walmart.com and confirming their performance on Amazon creates a secondary pipeline of product ideas, especially for categories like home‑office furniture.
• Competitor storefront audits — Analyzing a rival’s Amazon storefront reveals hidden bundles, pricing tactics, and keyword gaps that can be replicated or improved upon.
• Quick‑flip bundles — Creating bundled offers from complementary low‑cost items can generate a “quick‑flip” profit, shaving weeks off the research cycle by repurposing existing inventory.
• Six bonus shortcuts — Additional hacks, such as using Amazon’s “Customers also bought” carousel and leveraging Helium 10’s “Alerts” for sudden rank changes, further accelerate product validation.

How Helium 10’s Product Research Tools Work

1. Black Box filtering — Input core parameters (e.g., price $15‑$30, monthly sales > 300, review count < 100) and the engine returns every product that meets those criteria. A seller hunting for kitchen gadgets might see 42 candidates that fit the profit model within a single click.