What checkout conversion rate should buyers expect on BuyGoods?

Across the 424 BuyGoods offers we track with CR data, the average checkout CR is 1.78%, with a range from 0.03% to 3.4%. Industry reports / community data suggest some VSL funnels exceed 3%, but that is not an official network-wide benchmark.

What approval rate does BuyGoods deliver?

Across the 192 BuyGoods offers we track with approval data, the average approval rate is 34.46%, with a range from 0% to 68%. BuyGoods does not publish a network-wide approval percentage, so buyers should evaluate approval, refund, and chargeback data at vendor level.

How important are refunds and chargebacks on BuyGoods?

They are central to profitability. Industry reports / community data and official back-office framing indicate that BuyGoods exposes vendor refund and cohort chargeback data, with a 90-day refund and 180-day chargeback reserve window noted in the brief.

What are typical BuyGoods payouts?

Across the 437 BuyGoods offers we track with CPA data, the average CPA is $110.39, the median is $110, and the tracked range is $0.08 to $200. Actual earnings depend on offer, geo, traffic quality, refund behavior, and media cost.

Which verticals are most represented in the tracked BuyGoods set?

Across the 442 BuyGoods offers we track, nutra leads with 245 offers, followed by consumer with 191, software with 5, and finance with 1. All tracked offers are classified as physical products.

Listings/BuyGoods

BuyGoods

Global health-and-wellness affiliate marketplace. Physical products dominant. Marketplace UI is client-rendered; granular data requires JS execution.

442 active offersApply to BuyGoods Visit website

All networks1000 ClickBank920 MyLead50 dr.cash30 Admitad0 BuyGoods0 CPALead0 TerraLeads0

All verticals Nutra245 Consumer191 Software5 Finance1

About BuyGoods

Across the 442 BuyGoods offers we track, the network is represented mainly by physical-product funnels, with every tracked offer classified as physical. The tracked catalog is concentrated in nutra, with 245 offers, followed by consumer offers with 191, software with 5, and finance with 1. This makes BuyGoods most relevant to media buyers running supplement, health, direct-response consumer, and adjacent self-improvement traffic rather than broad ecommerce or lead-generation campaigns. Checkout performance and approval quality are the main screening points. Across the 424 BuyGoods offers we track with conversion-rate data, the average checkout conversion rate is 1.78%, with a range from 0.03% to 3.4%. Across the 192 BuyGoods offers we track with approval data, the average approval rate is 34.46%, ranging from 0% to 68%. That spread indicates that buyer intent, funnel quality, geo, and offer-specific backend handling materially affect realized economics. The geo footprint in the tracked dataset is Tier-1 weighted. US appears on 399 offers, CA on 203, GB on 192, AU on 184, NZ on 135, IE on 83, WW on 45, and NO on 25. Industry reports / community data suggest BuyGoods is used heavily for VSL-led nutra, supplements, manifestation, and self-improvement funnels, and that access is more curated than open-signup networks. Officially, the back office exposes vendor-level refund and chargeback metrics, which is important because network-wide approval benchmarks are not published by BuyGoods.

Conversion rate analysis

Across the 424 BuyGoods offers we track with checkout conversion data, the measured average CR is 1.78%, with a minimum of 0.03% and a maximum of 3.4%. This places the tracked BuyGoods set in a performance band where individual offer selection matters more than the network label: the top end clears 3%, while weak funnels convert at near-zero levels. Industry reports / community data suggest some BuyGoods VSL funnels have been reported above 3% on cold traffic, but those are practitioner observations, not official network-wide benchmarks. No formal academic or platform-wide public study compares checkout CR across BuyGoods and similar affiliate networks, so checkout-CR comparisons should be treated as vendor- or campaign-specific. For buyers, the practical takeaway is to request offer-level EPC, refund, chargeback, and geo data before scaling, then validate with a controlled traffic test.