Using Search Data to Inform Product Decisions

Written By Joe Firth
Last Updated On November 22, 2023

Working in SEO I utilise search data to validate the decisions I make on a daily basis. But the reality is , this data is incredibly valuable beyond just the realm of SEO. As a product manager, marketer, or business owner, you can also leverage search data to make better informed product decisions.

Search data provides a window into the minds of your potential customers. It reveals what they’re interested in, the questions they’re asking, and the solutions they’re seeking. By tapping into this rich source of information, you can gain insights that will help you refine your product offerings, develop new features, and identify market opportunities that you might otherwise miss.

In this article, we’ll explore the power of search data and how it can be used to inform product decisions. We’ll also provide practical tips on how to leverage this data effectively in your decision-making process.


Understanding Search Data

Before we dive into the specifics of using search data for product decisions, let’s first define what we mean by “search data”. Search data refers to the information collected from online searches conducted by users on search engines such as Google, Bing, or Yahoo. This data includes the keywords used in searches, search volume, and user behaviour on search engine results pages (SERPs).

In the context of product development, search data can provide valuable insights into emerging trends and customer pain points. By analysing search data, companies can gain a deeper understanding of their target audience and craft more relevant and effective solutions.

The Benefits of Using Search Data

So why is search data so valuable in informing product decisions? Here are the key benefits:

  • Identify customer pain points: By analysing search queries related to your industry or products, you can gain a better understanding of what problems your potential customers are trying to solve. This information can inform your product development process and help you create solutions that address these pain points.
  • Reveal market trends and opportunities: By tracking search volume for specific keywords, you can identify emerging trends or growing demand for certain products or services. This can help you stay ahead of the competition and capitalise on new market opportunities.
  • Refine product features and messaging: Search data also provides insights into how people are searching for your products or services. By analysing the keywords used and the content that ranks highly on search engines, you can fine-tune your product features and messaging to better align with what your target audience is looking for.
  • Improve UX and customer journey: Through search data, you can identify the path your potential customers take from discovery to purchase. This information can help you fine-tune your user experience and sales funnel, ensuring a smooth and efficient journey for your customers.

How to Leverage Search Data in Product Decisions

Now that we’ve established the value of search data for informing product decisions, let’s discuss some practical tips on how to effectively use this data:

Use search data to validate product features

By harnessing the power of search data to validate your product ideas or features, you can unlock a wealth of valuable insights into the demand and preferences of your target audience.

This data-driven approach allows you to make informed decisions and tailor your product to meet the specific needs of your customers. Take a deep dive into the keywords related to the potential product features you are considering adding, and uncover hidden gems of information that can guide your product development strategy.

Leverage Search Data To Discover new opportunities

Search data, including information obtained through competitor scraping, can act as map, revealing hidden treasures in your market landscape. By monitoring trending keywords, popular search queries, and analysing your competitors’ strategies, you can spot emerging needs or desires of your target audience before they become mainstream.

Perhaps there’s a growing interest in a particular type of fintech solution, or a rising trend that hasn’t yet been fully capitalized on. Recognizing these opportunities early gives your product a competitive edge, allowing you to innovate and meet customer needs before your competitors do.

Additionally, search data can also shed light on gaps in the market – products or services that consumers are searching for, but are not finding satisfactory solutions. These gaps represent potential areas for expansion or innovation in your product line.

Use Search Data to Understand Your Users at Scale

Analysing search queries provides insights into the language used by your target audience, the common problems they face, and the solutions they’re seeking.

By observing the exact phrases and keywords your potential customers use in their searches, you can truly comprehend their needs, pain points, and desires. For instance, if several of your users are searching for “easy mobile banking solutions” or “fast personal loan approvals”, this indicates a need for convenience and speed in your fintech offerings.

Furthermore, using search data allows you to track changes in user behaviour over time, helping you to anticipate shifts in the market and adjust your product development and marketing strategies accordingly. By understanding your users at scale, you can build a product that truly resonates with your target audience, using the language they use, and addressing the problems they face.

Best Practices for Utilising Search Data

Having discussed the immense value of search data and provided some initial steps on how to leverage it, let’s now delve deeper into best practices for utilising this resource effectively:

1. Regularly update your keyword list: Trends evolve rapidly, and what may be a high-demand keyword today could be irrelevant tomorrow. Regularly review and update your keyword list to stay on top of trends and ensure your product decisions align with current market demand.

2. Combine quantitative and qualitative analysis: While search data provides quantitative insights through numbers and trends, don’t overlook the importance of qualitative analysis. Pairing search data with customer feedback, surveys or user testing can provide a fuller picture of your audience’s needs and wants.

3. Utilise advanced SEO tools: Use advanced SEO tools that offer detailed insights into keyword performance, competitor analysis, and search trends. Tools like SEMrush, Ahrefs, and Moz can provide indispensable data for informing your product decisions.

4. Be mindful of seasonality: Many industries have seasonal trends that can affect search volume. Be sure to factor in these seasonal variations when analysing search data and making product decisions.

5. Monitor user behaviour on your website: Use tools like Google Analytics and Google Search Console to track how users are interacting with your website after they find you through search. This can provide valuable insights into what features or aspects of your products are most engaging to your audience.

Final Thoughts

In conclusion, search data can be an invaluable tool in shaping and informing product decisions. By tapping into this rich source of information, you can better understand your  target audience, identify market opportunities, and refine your product offerings. So next time you’re making a product decision, don’t forget to consult the data from online searches – it just might lead you to success!

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