Auto PPC campaigns are widely misunderstood and often dropped by sellers in favor of exact match campaigns, but they are one of the most powerful and underused tools in an overall PPC strategy — not primarily as a direct profit driver, but for keyword discovery and for driving organic rank during a product launch.
A new product isn't discoverable in organic search at launch, regardless of how strong the listing is. Paid ads are the only way to generate the initial visibility and sales volume Amazon needs to start ranking the listing organically. See Amazon Product Life Cycle (Launch, Expansion, Harvest).
The core purpose of PPC — especially at launch — isn't direct profit. Amazon evaluates a search term's performance by the click-through rate and conversion rate of PPC sales on that term, compared relatively to other products competing for the same term. Winning that relative comparison is what pushes organic rank higher, not the raw ACOS of the campaign. This reframes PPC losses at launch as a rank-buying cost rather than a failure.
With an auto campaign, the seller hands Amazon a budget and lets Amazon decide how to spend it across search terms and products (automatic targeting). With exact match, the seller bids only on specific terms already chosen. Because auto campaigns surface terms Amazon itself identifies as relevant, they double as a keyword-discovery tool — data from them can reveal mistargeted or missed search terms that, once folded into the listing title and an exact match campaign (see Search Term Harvesting into Exact Match), can materially improve a listing's performance.
See Auto Campaign Cost Arbitrage vs. Exact/Phrase Match for the separate argument that auto campaigns can also win the same search term more cheaply than exact/phrase match.
Auto campaigns should run on automatic targeting with bids set by targeting group (see Combined Auto-Targeting Campaign (Set Bids by Targeting Group)), and should run alongside — not instead of — exact match campaigns, since a product only ever shows once in the results, so overlap between the two campaign types is not wasteful.
Decisions about whether to keep auto, broad, phrase, or exact match should be led by the resulting data, not by personal preference for one match type.
Auto campaign data can double as a listing diagnostic: in one case, auto data revealed a seller was mistargeting customers/search terms entirely, and reoptimizing the title and listing around the terms performing well in auto — plus building exact-match campaigns around them — caused the listing to 'take off.' Underlying rationale: 'not all sales are equal' — a sale from a closely-related search term is worth more to organic rank than one from a loosely-related term, which is why close match (Automatic Campaign Four-Way Split (Close Match, Loose Match, Substitutes, Complements)) is prioritized over loose match, substitutes, and compliments for launch.
Из тем: PPC Campaign Structure & Bidding