In a competitive SEO industry, the quality of keyword insights can make or break your campaigns (or even your contracts). No wonder reliable keyword data is the most sought-after information in the market.

But building and managing massive keyword databases on your own? That’s a resource-draining nightmare.

At DataForSEO, we’ve done the hard work for you, collecting ready-made treasure troves of search insights. Containing billions of terms enriched with search volume, competition, CPC, and more, our keyword datasets allow businesses to reduce operational overload and maximize their SEO and marketing efforts.

Let’s explore how DataForSEO keyword databases are transforming businesses like yours, from SEO agencies and startups to e-commerce retailers and enterprise-level companies.

Contents

What is a keyword database and what does DataForSEO offer?
Use case: keyword database for SEO software businesses
Use case: keyword database for SEO agencies
Use case: keyword database for enterprise businesses
Use case: keyword database for market researchers and data analysts
Use case: keyword database for startups and point-solution SaaS providers

What is a keyword database and what does DataForSEO offer?

Simply put, a keyword database is a structured list of search terms that also contains essential keyword metrics, such as:

• Search Volume – the number of monthly searches for a keyword.
• Cost-Per-Click (CPC) – the average cost to advertise on the search term.
• Competition Level – an indicator of how competitive the term is in paid search.

DataForSEO offers some of the largest and most advanced keyword databases available on the web, with sources ranging from Google and Bing search engines to the Amazon marketplace.

Our Google Keywords Database contains over 7 billion keywords spanning 69 countries and 35 languages. The United States segment alone contains more than 1 billion terms, of which more than 673 million have a positive search volume. Moreover, we add millions of queries monthly to ensure the freshest data. This database is ideal for creating hyper-targeted SEO campaigns across multiple locations.

With our Historical Google Keywords Database, you can analyze keyword data and search trends dating back to 2019. This database serves deep insights, perfect for long-term planning, understanding market shifts and forecasting demand.

Bing Keywords Database is a collection of over 3 billion search terms for 30+ locations enriched with Bing Ads data. This resource helps PPC specialists, advertisers, and businesses looking to diversify beyond Google to improve their keyword targeting and gain a competitive advantage.

The e-commerce-tailored Amazon Products Database offers a deep dive into product rankings, keywords, and listing data. It includes keyword search volumes, product ratings, and delivery details – everything you need to optimize your Amazon listings and inventory strategies. This treasure trove is ideal for e-commerce businesses and brands aiming to maximize visibility on the Amazon marketplace in the United States, United Arab Emirates, Saudi Arabia, and Egypt.

Additionally, we offer regular database updates with a 50% discount, so your data stays fresh and relevant—without stretching your budget. With seamless delivery and robust support, integrating our databases into your workflows is as simple as it is powerful.

Keep reading to discover how businesses across industries are using our keyword datasets to get ahead.

Use case: keyword database for SEO software businesses

Why would an SEO software business need keyword datasets? Well, the vast majority of keyword research tools operate with rather small lists of terms for a limited number of locations and languages. What’s more, many of these tools fail to provide search volume for queries. The reason why they have such limited capabilities is an inappropriate choice of data source.

There are four options to get keywords for an SEO tool:

➤ Through the Google Ads API.
The Google Ads API is probably the most sought-after resource for keyword ideas. Nonetheless, the need to comply with the Terms and Conditions and the Required Minimum Functionality makes it nearly impossible for SEO software to pass the token review.

➤ Through third-party APIs.
Third-party APIs are a great source of keywords when it comes to building SEO tools. However, the complex integration process and pay-per-use model may discourage some software businesses from incorporating such solutions.

➤ Through the in-house web crawler.
While building a web crawler in-house is beneficial in the long run, the high cost of development and certain operational complexities make it insufficient. Yet another issue with in-house crawlers is the time it takes to build a database up to an acceptable size.

➤ Through third-party keyword datasets.
Third-party datasets work best for SEO software businesses that need to add support for additional countries and/or expand the database with more search term ideas. Keyword datasets can be easily integrated with the existing database, so you don’t have to worry about API-related complexities.

By integrating DataForSEO’s keyword databases, SEO software companies can expand the capabilities of their platforms and give users instant access to advanced features like historical trend analysis.

Use case: keyword database for SEO agencies

One of the most common issues SEO agencies face is the insufficiency of keyword sets obtained through Google Keyword Planner. Given the increasing popularity of long-tail phrases, Google Ads is no longer enough to build an efficient keyword profile – no wonder SEO agencies are the primary buyers of our keyword database.

First things first, SEO agencies can use DataForSEO keyword databases to expand the list of clients’ target terms with long-tail ideas. By performing full-text searches within the database and applying filters to exclude inappropriate phrases with an insufficient search volume and overly high competition, one can quickly compile a list of relevant queries that will drive highly qualified traffic.

Besides conducting keyword research and enriching client reports, SEO agencies often use keyword databases to build custom tools or expand existing in-house solutions. In this way, agencies create opportunities to offer bespoke keyword research and reporting services tailored to clients’ needs.

One of the main benefits of a keyword database is that it gives your company full control over the data employed and full confidence in managing your keyword research workflows. You gain independence from third-party keyword research tools and don’t have to worry about sudden shut-offs or breaches in data security.

Overall, access to comprehensive and customizable keyword datasets positions agencies as trusted experts, allows them to reinforce their reputation, and establish stronger client partnerships.

Use case: keyword database for enterprise businesses

Enterprise-level companies operate across diverse regions and industries, requiring robust datasets to drive their large-scale marketing campaigns. Keyword databases is exactly what provides the depth and flexibility needed to empower diverse business units with both global and local search trends.

Imagine an international electronics company striving to align its marketing strategies with regional preferences. Having access to billions of terms spanning multiple regions and languages, the company can discover trending terms like “best 4K TV deals” in North America and “energy-efficient TVs” in Europe, and adapt their campaigns accordingly. Similarly, a multinational hotel chain could analyze search terms like “luxury resorts in Bali” or “budget-friendly hotels in Paris” to refine regional PPC campaigns.

DataForSEO’s Google, Bing, and Amazon databases offer vast coverage, enabling enterprises to refine omnichannel marketing efforts and identify market-specific trends. They help businesses optimize PPC campaigns, improve SEO rankings, and boost product visibility on the Amazon marketplace. Historical keyword data from Google can help enterprises predict demand, allocate resources effectively, and set realistic marketing budgets.

Keyword databases also eliminate operational inefficiencies, offering centralized access to data while reducing dependence on fragmented tools and unreliable solutions. By integrating DataForSEO’s keyword databases, enterprise businesses gain accurate and fresh insights to fuel their global ambitions while staying relevant in local markets.

Use case: keyword database for market researchers and data analysts

Market research and data analysis companies often require extensive datasets to uncover trends, predict demand, and provide other insights to their clients. Let’s say you manage a market research firm working for a global automotive manufacturer. Having access to a vast keyword database, your team can chart the rise of search terms like “affordable electric vehicles” and “EV charging stations near me” in the U.S. over the past three years. By analyzing patterns, you could then pinpoint growing consumer interest, and advise your client what product type to focus on in this market segment.

Beyond helping to uncover trends, historical keyword data allows analysts to examine past shifts in consumer behavior and build predictive models for future market movements. You can use these solutions to guide customers in their product development or marketing investments.

DataForSEO’s keyword databases offer an ideal solution for market research needs, combining comprehensive data coverage with advanced metrics and historical trends dating back to 2019.

The ready-to-use structure of DataForSEO’s databases simplifies integration with your existing market intelligence solutions or analytics platforms.

Use case: keyword database for startups and point-solution SaaS providers

Keyword databases can also benefit startups that build point-solution SaaS products. These can include tools that focus on particular markets and, therefore, don’t need search terms for extra locations. By incorporating a keyword database for an individual country and/or language, such companies avoid paying for queries that don’t align with the targeted demographics of their software solutions.

The cost benefits of the DataForSEO keyword databases become apparent in comparison with the DataForSEO Labs API. Purchasing a keyword database for France with 213.01M search terms will cost you $8,520 vs. $23,431 if using the API to retrieve the same amount of keywords.

All in all, you can save more than 60% on the data source. On top of that, with the pre-compiled database there’s no need to incorporate third-party APIs into your software (which can sometimes turn out quite a time and money-consuming process).

To sum up, startups can use DataForSEO’s keyword databases to allocate more resources toward product development and customer acquisition rather than data collection. Our ready-to-use datasets help emerging businesses reduce time to market and launch their products with minimal upfront investment.

Summary

Keyword databases relieve technical complexities by providing ready-made structured repositories of search insights designed to address diverse business needs. Whether you’re developing cutting-edge SEO tools, refining your agency’s workflow, or optimizing global campaigns, DataForSEO keyword databases are a powerful tool you can benefit from.

Contact us today to discover how DataForSEO can transform your approach with data tailored to your goals!