Consumer pivots are accelerating, and I’m mapping the TikTok-to-cart lag; I need SKU-level sell-through to verify spikes in sheer layers and mesh ballet flats since May 2025. What datasets or reasonably priced tools (EDITED starter, Trendalytics, Google Merchant Center insights) have given you reliable sub-90-day signals?
I map GTINs for the mesh ballet flat SKUs to Amazon child ASINs and track Keepa BSR slope (7/30/90d) as a sell‑through proxy, then sanity‑check against GMC Competitive Visibility for the same item IDs; it’s mirrored the sheer/mesh lift since early June and costs ~$19/mo (https://keepa.com/). “Google Merchant Center insights) have given you reliable sub-90-day signals?” — helpful, but I treat click share as directional and about 2–3 weeks ahead of sell‑through. Do you have GTINs handy?
Quick, low-cost angle: use eBay Terapeak; map your UPC/GTINs to EPIDs and pull last‑90‑day “sold” by variation for mesh flats and sheer layers (Security Measure | eBay) — not glamorous, but it’s quick. Bias note: eBay skews to discount, so filter to New, US-only, set a price floor, and date-range from May 1. Do you have UPCs for the key styles, or should we triangulate from MPNs?