Summary

This section shows how Horizon compares to other themes in terms of market rank and overall Core Web Vitals performance. It also shows how many websites using this theme are included in the analysis. See the FAQ for details on how themes and websites were selected.

75

95

0.11%

0.07%

207

78

51.6%

85.1%

Month/Year 0 100 200 300 400 500 600 700 02/25 03/25 04/25 05/25 06/25 07/25

Origins by month line chart. The data is: , , , , 124, 612 origins for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

Month/Year 0 50 100 150 200 250 02/25 03/25 04/25 05/25 06/25 07/25

Origins by month line chart. The data is: , , , , 22, 201 origins for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 38.4 51.6

Origins Passing All Core Web Vitals bar chart. The data is: , , , , 38.4, 51.6% passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 85.1

Origins Passing All Core Web Vitals bar chart. The data is: , , , , , 85.1% passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

Theme Version 0 100 200 300 400 1.0 2.0

Origins by theme version chart. The data is: 387, 357 origins for the versions 1.0, 2.0.

Theme Version 0 50 100 150 200 250 300 1.0 2.0

Origins by theme version chart. The data is: 193, 254 origins for the versions 1.0, 2.0.

Loading Speed Metrics

These three metrics break down the major steps in rendering a webpage. TTFB roughly correlates to server issues or complex Liquid code. FCP often correlates with render-blocking resources and using JavaScript to render the page. Slow LCP can be caused by many issues. For guidance on improving loading speed, read Debugging common causes for slow loading in Shopify Liquid storefronts. If you need assistance, check out my consulting services.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 76.1 73.3

TTFB bar chart. The data is: , , , , 76.1, 73.3% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 58.1 65.6

FCP bar chart. The data is: , , , , 58.1, 65.6% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 80.8 83.8

LCP bar chart. The data is: , , , , 80.8, 83.8% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

Other Web Vitals Metrics

CLS and INP are user frustration metrics. Both can result in page abandonment. To learn how to identify and fix CLS, read How to optimize Cumulative Layout Shift (CLS) on Shopify sites. INP is a much more complex metric to debug and improve, but you can improve your chances by minimizing the number of apps and GTM tags on your site. If you need assistance, check out my consulting services.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 93.2 98.3

CLS bar chart. The data is: , , , , 93.2, 98.3% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 32.8 45.8

INP bar chart. The data is: , , , , 32.8, 45.8% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

Loading Speed Metrics

These three metrics break down the major steps in rendering a webpage. TTFB roughly correlates to server issues or complex Liquid code. FCP often correlates with render-blocking resources and using JavaScript to render the page. Slow LCP can be caused by many issues. For guidance on improving loading speed, read Debugging common causes for slow loading in Shopify Liquid storefronts. If you need assistance, check out my consulting services.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 89.1

TTFB bar chart. The data is: , , , , , 89.1% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 88.1

FCP bar chart. The data is: , , , , , 88.1% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 90.8

LCP bar chart. The data is: , , , , , 90.8% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

Other Web Vitals Metrics

CLS and INP are user frustration metrics. Both can result in page abandonment. To learn how to identify and fix CLS, read How to optimize Cumulative Layout Shift (CLS) on Shopify sites. INP is a much more complex metric to debug and improve, but you can improve your chances by minimizing the number of apps and GTM tags on your site. If you need assistance, check out my consulting services.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 94.5

CLS bar chart. The data is: , , , , , 94.5% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

% of origins Month/Year 0 20 40 60 80 100 02/25 03/25 04/25 05/25 06/25 07/25 94.5

INP bar chart. The data is: , , , , , 94.5% of origins passing for the months 02/25, 03/25, 04/25, 05/25, 06/25, 07/25.

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