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.
Illustrative diagram
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
| Project | Typical scope | Relative cost |
|---|---|---|
| Single product | Seed, expand, filter, grouped sheet | Lower |
| Product family | Shared research across variants | Moderate |
| Catalogue or multi-market | Many products or languages | Higher |
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.
- Research is done once for the family, with size-specific terms added per variant.
- An automatic campaign runs alongside to collect real searches.
- 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.
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.
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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