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Average Item Rating

from Product
Metrics type
Result
Units of measure
Quantitative
Direction
More - better
Check frequency
Monthly
Description
The average rating given by customers to products, calculated by summing up individual ratings and dividing by the total number of ratings.
Why it is important
This metric is essential for gauging overall product performance, guiding businesses in refining product offerings, and addressing areas of improvement.

By prioritizing products with higher ratings, businesses can enhance customer satisfaction, build brand credibility, and attract a positive reputation in the market.
Formula
Sum of Item Ratings / Number of Ratings
Calculation example
If the sum of all ratings for a product is 45, and 15 reviews have received,

Average Item Rating = (45/15) = 3
Related metrics
↩️ Affecting
- % of Negative Reviews
- % of Positive Reviews
- % of Neutral Reviews

↪️ Affected
- Number of Units Sold

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Suggested slices for dashboards
- Product Category
- Customer Segment
- Time Period
- Price Range
- New vs. Established Products
Questions to be Answered
1. How does the average item rating impact overall sales and customer trust, and are there specific product categories where higher average ratings result in increased customer engagement?
2. Can we identify patterns in the correlation between average item rating and the number of customer reviews, helping understand the relationship between product quality and customer feedback?
3. How does the average item rating change over time, and are there notable trends or fluctuations that align with changes in product features, customer expectations, or market preferences?
4. What is the impact of the average item rating on customer retention, and are customers more likely to make repeat purchases of items with higher average ratings compared to lower-rated products?
5. Is there a correlation between the average item rating and customer demographics, indicating whether certain customer segments prioritize products with higher perceived quality?
Possible causes of worsening
N/A for this metric
Tactics to improve this metric
N/A for this metric
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