The average number of times people have searched for a keyword and its close variants based on the month range as well as the location and Search Network settings you selected.
You can use this information to see how popular your keywords are during different times of the year. By default, the number of searches for the term (regardless of language) is averaged over a 12-month period.
Why it is important
Keywords with extremely high search volume (generally 10,000+ average monthly searches) are more difficult to compete for, with a higher suggested bid.
If you’re just starting your campaign, focusing on keywords with mid-level search volume may help you avoid spending too much of your budget on too few keywords.
Formula
Average number of searches per month
Calculation example
Keyword: 'Digital Marketing' Total Searches over 12 months: 120,000 The calculation for Avg. Monthly Searches is straightforward: Avg. Monthly Searches= 120,000/12 Calculate: Avg. Monthly Searches = 10,000
Affected metrics
Impressions
Affecting metrics
Negative keywords Keywords
Connecting metrics
n/a
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by Seasonal or Event-Based by Geographic by Language-Specific by Device Type by Competitor Benchmarking by Long-Tail vs. Short-Tail Terms by Ad Schedule
1. What is the range of Avg. Monthly Searches across different product categories in the e-commerce business, and are there any products with consistently high or low search volumes? 2. Is there a pattern in the seasonality of Avg. Monthly Searches, and are there any months or periods where certain keywords experience a significant increase or decrease in search volume? 3. How does the Avg. Monthly Searches data relate to the performance of ad campaigns, particularly in terms of click-through rates (CTR) and conversion rates? 4. Are there any keywords with high search volumes that also have high competition, and how does this affect the cost-effectiveness of bidding strategies for those keywords? 5. Are there any patterns in the relationship between Avg. Monthly Searches and the geographic locations of the target audience, providing insights into regional variations in keyword popularity? 6. What is the effect of changes in Avg. Monthly Searches on the Quality Score of relevant keywords, and how does this affect ad position and visibility? 7. How does the e-commerce company's product release or promotion schedule match up with fluctuations in Avg. Monthly Searches, and are there any opportunities to optimize advertising efforts around peak search times?
Possible causes of worsening
n/a
Tactics to improve this metric
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