{"id":7260,"date":"2021-06-02T05:21:08","date_gmt":"2021-06-02T05:21:08","guid":{"rendered":"https:\/\/staging.datarevolt.agency\/?p=1150"},"modified":"2021-06-02T05:21:08","modified_gmt":"2021-06-02T05:21:08","slug":"the-lin-rodnitzky-ratio","status":"publish","type":"post","link":"https:\/\/datarevolt.agency\/ro\/the-lin-rodnitzky-ratio\/","title":{"rendered":"The Lin &#8211; Rodnitzky Ratio"},"content":{"rendered":"<div data-mobiledoc=\"{&quot;version&quot;:&quot;0.3.2&quot;,&quot;atoms&quot;:[[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}]],&quot;cards&quot;:[],&quot;markups&quot;:[],&quot;sections&quot;:[[1,&quot;p&quot;,[[0,[],0,&quot;Of course, this 5 minutes formula is made to give you a quick look on the health of the account and a fast, general idea of the overall position of the account on a predetermined scale that comes along with it.&quot;],[1,[],0,0]]],[1,&quot;h2&quot;,[[0,[],0,&quot;How to calculate it&quot;],[1,[],0,1]]],[1,&quot;p&quot;,[[0,[],0,&quot;The formula is called \u201cThe Lin - Rodnitzky ratio\u201d and is calculated by dividing the CPA of all your search queries with the CPA of all search queries that have more than 1 conversion.&quot;]]],[3,&quot;ol&quot;,[[[0,[],0,&quot;Select a date range (enough to make the data representative for your account)&quot;]]]],[1,&quot;p&quot;,[[0,[],0,&quot;2. On the left menu in Google Ads, under \u201cKeywords\u201d, select \u201cSearch Terms\u201d&quot;]]],[1,&quot;p&quot;,[[0,[],0,&quot;3. Filter in the keywords with more than 1 conversion&quot;]]],[1,&quot;p&quot;,[[0,[],0,&quot;4. Make sure you modify your columns and add Cost \/ conv.&quot;]]]]}\">\n<div>\n<p>Of course, this 5 minutes formula is made to give you a quick look on the health of the account and a fast, general idea of the overall position of the account on a predetermined scale that comes along with it.<\/p>\n<h2>How to calculate it<\/h2>\n<p>The formula is called \u201cThe Lin &#8211; Rodnitzky ratio\u201d and is calculated by dividing the CPA of all your search queries with the CPA of all search queries that have more than 1 conversion.<\/p>\n<ol>\n<li>Select a date range (enough to make the data representative for your account)<\/li>\n<\/ol>\n<p>2. On the left menu in Google Ads, under \u201cKeywords\u201d, select \u201cSearch Terms\u201d<\/p>\n<p>3. Filter in the keywords with more than 1 conversion<\/p>\n<p>4. Make sure you modify your columns and add Cost \/ conv.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1154\" src=\"https:\/\/datarevolt.agency\/wp-content\/uploads\/2022\/10\/image3-1-the-lin.jpg\" alt=\"image3-1-the-lin\" width=\"600\" height=\"53\" \/><\/p>\n<div data-mobiledoc=\"{&quot;version&quot;:&quot;0.3.2&quot;,&quot;atoms&quot;:[],&quot;cards&quot;:[],&quot;markups&quot;:[],&quot;sections&quot;:[[1,&quot;p&quot;,[[0,[],0,&quot;5. Scrolling down to the bottom, you are now looking for the Cost \/ conv. values of \u201cTotal: Filtered search terms\u201d and \u201cTotal: Account\u201d&quot;]]]]}\">\n<div>\n<p>5. Scrolling down to the bottom, you are now looking for the Cost \/ conv. values of \u201cTotal: Filtered search terms\u201d and \u201cTotal: Account\u201d<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1155\" src=\"https:\/\/datarevolt.agency\/wp-content\/uploads\/2022\/10\/image3-1-the-lin-1.jpg\" alt=\"image3-1-the-lin-1\" width=\"600\" height=\"76\" \/><\/p>\n<div data-mobiledoc=\"{&quot;version&quot;:&quot;0.3.2&quot;,&quot;atoms&quot;:[[&quot;soft-return&quot;,&quot;&quot;,{}]],&quot;cards&quot;:[],&quot;markups&quot;:[],&quot;sections&quot;:[[1,&quot;p&quot;,[[0,[],0,&quot;6. Divide \u201cTotal: Account\u201d by \u201cTotal: Filtered search terms\u201d and that is your Lin - Rodnitzky ratio&quot;]]],[1,&quot;p&quot;,[[0,[],0,&quot;Using the search terms and not your keywords it is because your actual spend is on the terms that triggered your ads to appear and so are the conversions divided on.&quot;],[1,[],0,0]]],[1,&quot;h2&quot;,[[0,[],0,&quot;The Lin - Rodnitzky scale&quot;]]]]}\">\n<div>\n<p>6. Divide \u201cTotal: Account\u201d by \u201cTotal: Filtered search terms\u201d and that is your Lin &#8211; Rodnitzky ratio<\/p>\n<p>Using the search terms and not your keywords it is because your actual spend is on the terms that triggered your ads to appear and so are the conversions divided on.<\/p>\n<h2>The Lin &#8211; Rodnitzky scale<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1156\" src=\"https:\/\/datarevolt.agency\/wp-content\/uploads\/2022\/10\/rodnitzky-scale.jpg\" alt=\"rodnitzky-scale\" width=\"850\" height=\"478\" \/><\/p>\n<div data-mobiledoc=\"{&quot;version&quot;:&quot;0.3.2&quot;,&quot;atoms&quot;:[[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}],[&quot;soft-return&quot;,&quot;&quot;,{}]],&quot;cards&quot;:[],&quot;markups&quot;:[[&quot;strong&quot;]],&quot;sections&quot;:[[1,&quot;p&quot;,[[0,[],0,&quot;Now that you found out a number that means nothing for you, it is time to see where in the suggested,by the creators, interpretation you fall.&quot;],[1,[],0,0]]],[3,&quot;ul&quot;,[[[0,[0],1,&quot;1.0-1.5&quot;],[0,[],0,&quot;: The account is conservative. There is very low wasted spend, but the account is likely missing out on a lot of incremental conversions, most of which are likely to still be highly profitable for the business.&quot;],[1,[],0,1]],[[0,[0],1,&quot;1.5-2.0&quot;],[0,[],0,&quot;: The account is well-managed. There is a combination of consistent winners that always bring in sales and experimental queries that are being tested to identify growth opportunities.&quot;],[1,[],0,2]],[[0,[0],1,&quot;2.0-2.5&quot;],[0,[],0,&quot;: The account is too aggressive. There are too many queries getting clicks that are not driving conversions. This is either due to excessive use of broad match, a lack of attention to the account, or a lack of rigorous analysis of metrics.&quot;],[1,[],0,3]],[[0,[0],1,&quot;2.5&quot;],[0,[],0,&quot;+: The account is being mismanaged. Money is being wasted daily, and simple changes can save the business a lot of money.\u201d&quot;],[1,[],0,4]]]],[1,&quot;p&quot;,[[0,[],0,&quot;Keep in mind that the scale above is not divided by industries and for some accounts that have a lot of long tail keywords, the number can go higher, due to a large number of variations of the keyword and very small number of clicks.&quot;],[1,[],0,5]]],[1,&quot;h2&quot;,[[0,[],0,&quot;Footnotes and disclaimers&quot;],[1,[],0,6]]],[1,&quot;p&quot;,[[0,[],0,&quot;This formula was created and tested against accounts on Google Ads in a previous version where you could filter the search terms with equal or greater than 1 conversion, this is no longer possible, you can now only filter with less or greater. &quot;],[1,[],0,7]]],[1,&quot;p&quot;,[[0,[],0,&quot;Above that, Data Driven attribution model is currently available, which divides the conversions amongst all the keywords that helped convert if chosen in the conversion setup.&quot;],[1,[],0,8]]],[1,&quot;p&quot;,[[0,[],0,&quot;As a general rule,if your account uses Data Driven, try to calculate the L-R ratio once by filtering search terms with more than 0 conversions and once with more than 1 conversion and see where you fall on the scale in both conditions.&quot;]]]]}\">\n<div>\n<p>Now that you found out a number that means nothing for you, it is time to see where in the suggested,by the creators, interpretation you fall.<\/p>\n<ul>\n<li><strong>1.0-1.5<\/strong>: The account is conservative. There is very low wasted spend, but the account is likely missing out on a lot of incremental conversions, most of which are likely to still be highly profitable for the business.<\/li>\n<li><strong>1.5-2.0<\/strong>: The account is well-managed. There is a combination of consistent winners that always bring in sales and experimental queries that are being tested to identify growth opportunities.<\/li>\n<li><strong>2.0-2.5<\/strong>: The account is too aggressive. There are too many queries getting clicks that are not driving conversions. This is either due to excessive use of broad match, a lack of attention to the account, or a lack of rigorous analysis of metrics.<\/li>\n<li><strong>2.5<\/strong>+: The account is being mismanaged. Money is being wasted daily, and simple changes can save the business a lot of money.\u201d<\/li>\n<\/ul>\n<p>Keep in mind that the scale above is not divided by industries and for some accounts that have a lot of long tail keywords, the number can go higher, due to a large number of variations of the keyword and very small number of clicks.<\/p>\n<h2>Footnotes and disclaimers<\/h2>\n<p>This formula was created and tested against accounts on Google Ads in a previous version where you could filter the search terms with equal or greater than 1 conversion, this is no longer possible, you can now only filter with less or greater.<\/p>\n<p>Above that, Data Driven attribution model is currently available, which divides the conversions amongst all the keywords that helped convert if chosen in the conversion setup.<\/p>\n<p>As a general rule,if your account uses Data Driven, try to calculate the L-R ratio once by filtering search terms with more than 0 conversions and once with more than 1 conversion and see where you fall on the scale in both conditions.<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Of course, this 5 minutes formula is made to give you a quick look on the health of the account and a fast, general idea of the overall position of the account on a predetermined scale that comes along with it. How to calculate it The formula is called \u201cThe Lin &#8211; Rodnitzky ratio\u201d and [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1151,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[19],"tags":[],"class_list":["post-7260","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-performance"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Lin - Rodnitzky Ratio - Data Revolt Agency<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datarevolt.agency\/ro\/the-lin-rodnitzky-ratio\/\" \/>\n<meta property=\"og:locale\" content=\"ro_RO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Lin - Rodnitzky Ratio - Data Revolt Agency\" \/>\n<meta property=\"og:description\" content=\"Of course, this 5 minutes formula is made to give you a quick look on the health of the account and a fast, general idea of the overall position of the account on a predetermined scale that comes along with it. How to calculate it The formula is called \u201cThe Lin &#8211; Rodnitzky ratio\u201d and [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datarevolt.agency\/ro\/the-lin-rodnitzky-ratio\/\" \/>\n<meta property=\"og:site_name\" content=\"Data Revolt Agency\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/datarevoltagency\/\" \/>\n<meta property=\"article:published_time\" content=\"2021-06-02T05:21:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datarevolt.agency\/wp-content\/uploads\/2025\/09\/Denisa-Cerchez-Performance-Specialist.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"400\" \/>\n\t<meta property=\"og:image:height\" content=\"400\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataRevoltTeam\" \/>\n<meta name=\"twitter:site\" content=\"@DataRevoltTeam\" \/>\n<meta name=\"twitter:label1\" content=\"Scris de\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Timp estimat pentru citire\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/datarevolt.agency\\\/the-lin-rodnitzky-ratio\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/datarevolt.agency\\\/the-lin-rodnitzky-ratio\\\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\\\/\\\/datarevolt.agency\\\/#\\\/schema\\\/person\\\/f4456ba3ed860333a26d98b55980c6ee\"},\"headline\":\"The Lin &#8211; 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