@Helium10 🆚 Search Query - How Accurate is the Data? (New SEO Phase 4) | Summary and Q&A

TL;DR

Comparing the accuracy of search query data between Amazon's Search Query Performance and Helium 10, highlighting the differences in search volume and its implications for brands.

Key Insights

• 👨‍🔬 Amazon's Search Query Performance provides more specific and actionable search query data compared to brand analytics.
• 👨‍🔬 There are differences in search volume between Amazon's data and Helium 10's data, with varying levels of accuracy.
• 🎚️ Utilizing both Search Query Performance and Helium 10's tools can help brands optimize keyword rankings and prioritize efforts based on macro-level and micro-level insights.
• ❓ The accuracy and updating mechanisms of Helium 10's data collection remain unclear.
• 😒 Brands should focus on strike zone keywords and use keyword tracking tools to measure and improve rankings.
• 🦻 Macro-level data from Search Query Performance can help brands identify important keywords for the brand, while Helium 10's Cerebro can aid in tracking and optimizing rankings for specific products.
• 👨‍🔬 Seasonal trends and search volume fluctuations can be observed through the data provided by both tools.

Transcript

one good piece of news is amazon keeps releasing all kinds of new data which means a lot of the external tools like helium 10 now have a more accurate source to grab search term queries and how much search volume are behind them but how accurate are they my name is stephen pope and i'm the founder of my amazon guy in this video i'm going to compare... Read More

Questions & Answers

Q: How does Amazon's Search Query Performance differ from brand analytics data?

Unlike brand analytics, the Search Query Performance provides specific and actionable search query data, including search volume per week/month, rank, impression share, click share, cart ads, and sales data.

Q: Is the search query data in Helium 10 accurate?

The video highlights differences between Amazon's data and Helium 10's data, suggesting that while Helium 10's data may be accurate, it is dated. The accuracy of Helium 10's data collection methods and how often it updates remain unclear.

Q: How can brands utilize the Search Query Performance for SEO strategy?

Brands can use the Search Query Performance to identify "strike zone" keywords (ranked 20-50) and prioritize their efforts in optimizing rankings for these keywords. This can be done by filtering keywords in Helium 10's organic rank section or looking at macro-level data for the brand.

Q: How can Search Query Performance and Helium 10 be used together for keyword tracking?

Brands can use the macro-level insights from Search Query Performance to identify important keywords for the brand. Then, they can use Helium 10's Cerebro to track rankings for these keywords and make informed decisions on optimizing rankings for specific products.

Summary & Key Takeaways

• The video compares Amazon's Search Query Performance with Helium 10, focusing on the accuracy of search term data and search volume metrics.

• The data shows differences in search volume between the two tools, with varying percentages of accuracy for different search terms.

• It emphasizes the importance of using the Search Query Performance data for actionable insights and decision-making in optimizing keyword rankings.