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First page bid estimate
from Google Ads
Metrics type
Units of measure
Less - better
Check frequency
The bid you likely need to set for your ad to be shown anywhere on the first page of search results.

This estimate approximates what cost-per-click (CPC) bid is needed for your ad to show anywhere on the first page of search results when a search query exactly matches your keyword. Your ad can still appear if your bid does not meet this estimate, but it's less likely to appear on the first page of search results.
Why it is important

Tracking the First Page Bid Estimate metric is crucial as it provides advertisers with insights into the competitive landscape for specific keywords.

This metric helps advertisers understand the minimum bid required for their ad to have a higher chance of appearing on the first page of search results, allowing them to make informed decisions about adjusting bids to improve visibility and maximize the effectiveness of their ad placements.
Estimated CPC bid
Calculation example
Let's consider three different keywords and their respective First Page Bid Estimates:

Keyword A:
First Page Bid Estimate: $3.50

Keyword B:
First Page Bid Estimate: $5.00

Keyword C:
First Page Bid Estimate: $2.20
Affected metrics
Affecting metrics
Connecting metrics
Maximum CPC bid

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Suggested slices for dashboards
by Keyword-Level
by Campaign Type
by Device Type
by Geographic
by Seasonal or Event-Based
The revenue impact pathway
Available in JetMetrics Lite only
Questions to be Answered
1. What insights can be gained from analyzing the First Page Bid Estimate across different campaigns and ad groups regarding the competitiveness of various product categories or services?
2. Is there a way to use the First Page Bid Estimate to identify opportunities for optimizing bids and achieving a balance between cost and ad visibility?
3. How can the quality of ad creatives and landing pages affect the First Page Bid Estimate, and how can improvements in ad relevance positively influence the bid required for first-page visibility?
4. Are there any keywords or search queries where the First Page Bid Estimate fluctuates significantly, and how can this information be used to make strategic decisions about keyword targeting and bid adjustments?
5. How does the historical performance of ads, including click-through rates and conversion rates, relate to the First Page Bid Estimate, providing insights into the relationship between ad effectiveness and bid requirements?
6. Can the First Page Bid Estimate be used to anticipate shifts in market competition or changes in user behavior, allowing advertisers to adjust their strategies to maintain optimal ad placements?
7. How does the First Page Bid Estimate align with overall campaign goals, and are there scenarios where a higher or lower bid may be justified based on specific campaign objectives such as brand visibility, lead generation, or sales?
Possible causes of worsening
Tactics to improve this metric
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