Pricing and quotation guide

Amazon PPC keyword research cost

The research fee is separate from ad spend, but it shapes where that spend goes. The price depends on how many products are researched, how carefully each term is checked for relevance, which sources are used, how many marketplaces and languages are involved, whether the deliverable is organised for campaign setup, whether campaigns are built from it and whether ongoing harvesting from search term reports is included. Cheap research that produces an unfiltered list can cost far more in wasted clicks.

Covered here: cost drivers, scopes, pricing approaches, tool costs and judging value. No prices are given, because they depend on scope and provider; LetGetGrow sets out the cost for your project in a custom quotation.

Pricing and quotation guide · Amazon & eBay Services · Custom quotations only

Illustrative diagram

ProjectCost effect
Single productLower
Product familyModerate
Catalogue or multi-marketHigher
Ongoing harvestingRecurring
Keyword research scope and cost. Products and markets drive cost.

What drives keyword research cost

Products
Each product or family needs its own research.
Relevance checks
Reviewing terms one by one takes time.
Sources
Using your search term data adds analysis.
Marketplaces
Each language and country needs separate research.
Setup
Building campaigns from the list adds work.

Costs paid to third parties (separate from our fees)

  • Keyword tool subscriptions
  • Translation and local review
  • Ad spend for discovery campaigns

Ask whether tool costs are included or charged separately.

Projects compared

Illustrative scopes
ProjectTypical scopeRelative cost
Single productSeed, expand, filter, grouped sheetLower
Product familyShared research across variantsModerate
Catalogue or multi-marketMany products or languagesHigher

How research is priced

Per product

Suits you when

  • Few products

Watch out for

  • Depth of filtering

Per family

Suits you when

  • Similar products

Watch out for

  • Variant coverage

Within PPC management

Suits you when

  • Ongoing management

Watch out for

  • Harvesting frequency

Paying for relevance

Exporting terms from a tool is quick; checking each one against your product and search results takes time. That checking is what saves ad spend, so it is worth paying for.

Discovery campaigns

Running an automatic campaign for a few weeks before or alongside research provides real search term data. It costs ad spend, but the data is more reliable than estimates.

Example: family-level research

Illustrative example — not a client case study

Situation: A brand sells one backpack design in four sizes.

  1. Research is done once for the family, with size-specific terms added per variant.
  2. An automatic campaign runs alongside to collect real searches.
  3. The grouped sheet is used to build exact and phrase campaigns.

What this shows: Per-product cost was lower than researching each size separately. This example is illustrative.

Comparing quotes

Check products covered, sources, relevance method, deliverable format, negatives, listing suggestions, campaign setup, tools and whether ongoing harvesting is included.

Keeping costs down

Research by product family, share existing search term reports, describe clearly what the product is not and build campaigns yourself from a well-organised sheet.

Judging value

Good research shows in a lower share of spend on irrelevant searches and faster discovery of converting terms. Compare search term reports before and after.

Other languages

Translating keywords is not enough; shoppers in other countries search differently. Research in each market, ideally reviewed by a native speaker, costs more but avoids irrelevant terms.

Costs that are easy to miss

The research fee is only part of the cost. Discovery campaigns spend money while data is gathered, keyword tool subscriptions may be passed on, and building campaigns from the sheet takes time whether you or the provider does it. Revisions after you review the draft list may also be charged. Ask for each of these to appear as its own line so you can compare quotes on the same basis.

Doing some of it yourself

Sellers who know their product well can gather seed terms, note what the product is not and export search term reports before engaging help. That reduces the time a provider needs and lets you pay mainly for filtering and organisation, which is where outside help can add the most.

Refreshing research later

Initial research ages as shopper language and the category change. A lighter refresh, focused on new search term data and any new variants, generally costs less than starting again. Ask whether a refresh is priced separately, included in ongoing management, or offered at a reduced rate after the first project.

Setting a research budget

There is no standard figure to follow. A practical approach is to weigh the research fee against the ad spend it will direct: the larger the planned budget, the more careful filtering is worth, because each irrelevant term removed saves money for as long as campaigns run.

When the cheapest quote costs more

A low fee for a long list may mean the terms were exported and not checked. Every irrelevant keyword that reaches a campaign spends money until someone notices and removes it, so ask how many terms were rejected during filtering and why. A provider that rejects nothing has probably not filtered.

Questions about Amazon PPC keyword research cost

What affects keyword research cost?

Products, relevance checks, sources, marketplaces and setup.

Is it cheaper per product family?

It can be, with variant terms added.

Are tools included?

Check; they may be charged separately.

Should we run discovery campaigns?

They cost ad spend but give real data.

Is research included in PPC management?

Often as ongoing harvesting; check.

How do we tell whether keyword research was worth it?

Less spend on irrelevant searches and faster discovery.

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