We Assign A Score To Each Ranking Position Based on the Estimated Percentage of Clicks a Business in That Ranking Position Would Receive
Instead of treating all ranking positions equally, we assign scores to each rank based on the estimated percentage of online searchers who click on a business in that position. This method helps us show improvements in a way that makes sense for your business.
For example, a rank improvement from an 8 to a 1 will get a much higher improvement percentage than going from a 19 to a 12. Both are increases of 7 ranking positions, but you will get significantly more customers ranking in the #1 spot compared to the 8th. We wanted Paige's improvement metrics to represent the improvement in customer actions like phone calls and website visitors, and less arbitrary figures.
To avoid any mathematical issues, we assign small fractions to ranks that would otherwise have a score of zero (12+).
Score Assignment Based on Estimated Click Percentages
We give each rank the following points based on the estimated percentage of clicks a business would get if ranking in that position:
Rank 1: 30 points (est. 30% of clicks go to the business ranking #1)
Rank 2: 20 points
Rank 3: 15 points
Rank 4: 10 points
Rank 5: 8 points
Rank 6: 6 points
Rank 7: 4 points
Rank 8: 3 points
Rank 9: 2 points
Rank 10: 2 points
Rank 11: 1 point
Rank 12: 0.9 points
Rank 13: 0.8 points
Rank 14: 0.7 points
Rank 15: 0.6 points
Rank 16: 0.5 points
Rank 17: 0.4 points
Rank 18: 0.3 points
Rank 19: 0.2 points
Rank 20: 0.1 points
How We Calculate Improvement Percentages
Initial Score Calculation:
Note the initial rank for each location point on the heatmap.
Assign points based on the initial rank using the score assignment.
New Score Calculation:
Note the new rank for each location point after improvements.
Assign points based on the new rank using the same score assignment.
Improvement Calculation:
Calculate the difference between the new score and the initial score for each location point.
Add up the initial scores and new scores separately for all location points to get total initial and new scores.
Percentage Improvement:
Use this formula to calculate the overall percentage improvement:
Example
Let's say you have three location points with the following initial and new ranks:
Location | Initial Rank | New Rank |
A | 10 | 5 |
B | 15 | 10 |
C | 20 | 18 |
Using the score assignment:
Initial Scores:
Location A: 2 points (Rank 10)
Location B: 0.6 points (Rank 15)
Location C: 0.1 points (Rank 20)
Total Initial Score = 2 + 0.6 + 0.1 = 2.7 points
New Scores:
Location A: 8 points (Rank 5)
Location B: 2 points (Rank 10)
Location C: 0.3 points (Rank 18)
Total New Score = 8 + 2 + 0.3 = 10.3 points
Improvement Calculation:
Total Improvement = 10.3 - 2.7 = 7.6 points
Percentage Improvement:
Summary
By using scores based on estimated click percentages, we can demonstrate improvement metrics that more closely align with what the business is actually experiencing. Higher ranks mean more clicks and more potential customers. So, moving from rank 8 to rank 1 is much better than moving from rank 8 to rank 4. This system helps you see the real impact of your ranking changes.
If you have any questions or need more help, please reach out to our live chat support. We're here to help!