Date Range
Limits metrics to events or calculations within the selected timeframe.
Referrer (Any‑Touch)
Restricts metrics to sessions where visitors arrived via the chosen referrer source(s).
Device
Filters metrics to activity on the specified device type (Desktop or Mobile).
Conversion Event(s) / Question(s)
Not applicable to performance scores.
Average
Shows the average value of the metric across all pages in the table (on the bottom row).
The View Score is a relative performance metric that ranks a content page against all other content pages based on its total number of views. It is presented on a dynamic scale of 0 to 10, where a higher score indicates a higher rank in terms of page views.
Data Source: Total number of views for each page.
Scale: 0 to 10
Metric Type: Rank-based (not an absolute measure of views).
Dynamic: The score adjusts based on filters like Date Range, as the relative ranking of pages changes.
Filter Definitions
Date Range (Base)
A 0‑to‑10 rating that measures how frequently an individual page was viewed during the selected date range compared with every other page on the site.
Referrer (Any‑Touch)
A 0‑to‑10 rating that measures how frequently an individual page was viewed during the selected date range by visitors who arrived via the selected Referrer(s) compared with every other page on the site.
Device
A 0‑to‑10 rating that measures how frequently an individual page was viewed during the selected date range on the selected device compared with every other page on the site.
Conversions Filter
N/A – filter not supported for this metric.
Questions Filter
N/A – filter not supported for this metric.
Average Bar
Average of the View Scores across all pages in the table.
The View Score calculation transforms the total views into a rank, which is then scaled to the 0-10 range.
Group Content: Pages are initially segmented based on an absolute threshold for views:
Group 1: Pages with greater than or equal to 10 total views
Group 2: Pages with less than 10 total views
Assign Ranks: All pages across both groups are ranked based on their total page views. For pages with the same number of views (tied ranks), the rank assigned is the average of the positions they would have occupied consecutively
Example: For a set of Pages with the following View counts [12, 13, 14, 14, 19, 19], the ranking would be:
12 is the smallest number, this Page would be assigned rank 1
13 is next, this Page would be assigned rank 2
14 appears twice, both Pages would be assigned the average rank 3.5.
19 appears twice, both Pages would be assigned the average rank 5.5
For duplicate values, the rank assigned is the average of the ranking values if ranked consecutively. So if Pages C and D above each have 4 views, they would be ranked 3 and 4 if ranked consecutively. Since they are the same, we take the average ranking, which is 3.5 (3+4) / 2)
The final step is to normalize the rank into the 0-10 score range using Min-Max Scaling. This effectively expresses a page's rank as a proportion of the maximum rank observed across the dataset.
Scale to [0, 1]: The scaled rank is calculated using the minimum and maximum ranks observed:
Scale to [0, 10]: The final View Score is obtained by multiplying the scaled rank by 10.
The Conversion Score is also a relative performance metric that ranks content pages based on their Conversion Rate. It is presented on a dynamic scale of 0 to 10, where a higher score indicates a higher rank in terms of conversion rate.
Data Source: Conversion Rate for each page.
Scale: 0 to 10
Metric Type: Rank-based (measures performance relative to peer content).
Dynamic: The score adjusts based on filters like Date Range.
Note: Conversion Rate (Page-level) is measured as the percentage of all-time visitors who viewed the page and then converted within the selected date range.
Filter Definitions
Date Range (Base)
A 0‑to‑10 effectiveness rating that shows how well a page turns its visitors into converters, based on the Conversion Rate for the page within the selected date range, compared with every other page on the site.
Referrer (Any‑Touch)
A 0‑to‑10 effectiveness rating that shows how well a page turns its visitors who arrived via the selected Referrer(s) into converters based on Conversion Rate of the page within the selected date range, compared with every other page on the site.
Device
A 0‑to‑10 effectiveness rating that shows how well a page turns its visitors into converters based on Conversion Rate of the page within the selected date range on the selected device, compared with every other page on the site.
Conversions Filter
A 0‑to‑10 effectiveness rating that shows how well a page turns its visitors into converters for the selected Conversion Event(s) in the date range, compared with every other page on the site.
Questions Filter
N/A – filter not supported for this metric.
Average Bar
Average of the Conversion Scores across all pages in the table.
Conversion Score Calculation:
The calculation for the Conversion Score is identical to the View Score, but it uses Conversion Rate as the initial metric for ranking instead of raw views.
Group Content: Pages are segmented based on their conversion rate:
Group 1: Pages with a Conversion Rate of 0 (no conversions). Note: No jittering is applied to 0 values.
Group 2: Pages with a Conversion Rate > 0
Assign Ranks: All pages are ranked based on their conversion rates. As with the View Score, tied ranks are assigned the average of their consecutive positions.
These steps follow the exact same procedure as the View Score:
Normalization: The rank is scaled using the Min-Max method to fit the final 0-10 range.
The Sentiment Score is a real-time metric that quantifies user feeling towards specific content based on survey responses. It's presented on a scale of 0 to 10, where a higher score indicates more positive sentiment.
Data Source: Survey response data (Total Positive, Neutral, and Negative responses).
Scale: 0 to 10
Dynamic: The score adjusts based on filters like Date Range.
Filter Definitions
Date Range (Base)
A 0‑to‑10 rating that measures how visitors felt about a given page based on sentiment responses collected during the selected date range.
Referrer (Any‑Touch)
A 0‑to‑10 rating that measures how visitors who arrived via the selected Referrer(s) felt about the page based on sentiment responses collected during the selected date range.
Device
A 0‑to‑10 rating that measures how visitors felt about the page based on sentiment responses collected during the selected date range on the selected device (Mobile or Desktop).
Conversions Filter
N/A – filter not supported for sentiment metrics.
Questions Filter
A 0‑to‑10 rating that measures how visitors felt in response to the selected Question(s), using only those sentiment responses.
Average Bar
Average of the Sentiment Scores across all pages in the table.
Sentiment Score Calculation:
The first step is to determine the proportion of each response type relative to the total number of survey responses
The system uses a Weight Vector to assign a value to each sentiment category. The default weights are:
Positive Weight: 1.0
Neutral Weight: 0
Negative Weight: -1.0
The Sentiment Raw Score is calculated using a dot product of the Percentage Vector and the Weight Vector, divided by 100 (since the percentages are based on 100). This calculation effectively creates a weighted average of the sentiment.
The raw score will range from -1 (if 100% responses are negative) to 1 (if 100% responses are positive)
Example: Raw Score = [(Positive Response % x Positive Weight) + (Neutral Response % x Neutral Weight) + (Negative Response % x Negative Weight)] / 100
The final Sentiment Score is determined by normalizing the raw score from the [-1, +1] range to the required [0, 10] scale.
The Knotch Score is the normalized, composite score that provides a single, high-level performance metric for a piece of content. It is calculated as the weighted sum of the three core sub-scores: View, Sentiment, and Conversion Scores.
Foundation: View Score, Sentiment Score, and Conversion Score.
Scale: 0 to 10
Weighting: The weights for each sub-score are user-defined in the K1 platform. By default, these weights are distributed evenly.
Dynamic: Like its components, the score adjusts based on the Date Range filter.
A higher Knotch Score indicates stronger overall page performance across views, conversion rate, and visitor sentiment.
Note: Knotch Score can only be calculated only when Views + Conversion Rate, View + Sentiment Responses, or all three metrics are available for a page. If the Knotch Score cannot be calculated due to missing data (e.g., no conversion data available), the individual sub-scores are still displayed.
Filter Definitions
Referrer (Any‑Touch)
The weighted sum of Page‑level View, Conversion, and/or Sentiment Scores based on events attributed to visitors who arrived via the selected Referrer(s).
Device
The weighted sum of Page‑level View, Conversion, and/or Sentiment Scores based on events that occurred on the selected device type.
Conversions Filter
The weighted sum where the Conversion component is computed only from the selected Conversion Event(s).
Questions Filter
The weighted sum where the Sentiment component is computed only from the selected Question(s).
Average Bar
N/A – not currently supported.
Knotch Score Calculation
The Knotch Score uses a simple, linear weighted average calculation. Since all three component scores (View, Sentiment, Conversion) are already normalized to a [0, 10] scale, their weighted sum also results in a final score between 0 and 10.
Knotch Score = (View Score × View Weight) + (Conversion Score × Conversion Weight) + (Sentiment Score × Sentiment Weight)
