{"id":208734,"date":"2026-03-10T13:43:59","date_gmt":"2026-03-10T20:43:59","guid":{"rendered":"https:\/\/www.nationalfunding.com\/blog\/?p=208734"},"modified":"2026-03-27T09:53:41","modified_gmt":"2026-03-27T16:53:41","slug":"5-ways-to-make-more-money-with-ai-email-marketing","status":"publish","type":"post","link":"https:\/\/www.nationalfunding.com\/blog\/5-ways-to-make-more-money-with-ai-email-marketing\/","title":{"rendered":"5 Ways to Make More Money With AI &#038; Email Marketing"},"content":{"rendered":"<p><span data-contrast=\"auto\">Email marketing (and SMS) are your company\u2019s ATM machine.\u00a0They\u2019re\u00a0consumers and clients that gave you their information, have shopped already, and who are familiar with your brand, which is why these campaigns convert better than other channels. But when you over-email, use the wrong messaging, or the offers are not relevant to the\u00a0recipients,\u00a0your company gets marked as spam and customers unsubscribe. This is where AI may be able to help.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\">\u00a0<\/span><span data-contrast=\"auto\">Instead of guessing what each subscriber wants, let your favorite AI system help you maximize your return on investment and increase your revenue with email marketing. Below\u00a0you\u2019ll\u00a0find five ways AI can help sort through data and some prompts. You can\u00a0use these\u00a0starting\u00a0today\u00a0with ChatGPT, Claude, Perplexity, or whichever LLM system you like most.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Improved subject lines by user and service provider<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Which body style to use<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">The offer to send by who shops for what<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Which products to feature by which segment<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\u25cf\" data-font=\"\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\u25cf&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">The products to promote based on what\u00a0clients\u00a0buy by region<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Note:\u00a0Before you begin, check with your lawyer to make sure your privacy policy and website terms of use allow you to use a\u00a0third-party\u00a0tool for sorting data and analytics.\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"auto\">Subject Lines and Service Providers<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:120}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Each email service provider (ESP) has\u00a0different character\u00a0limits that display in the out-of-the-box setting for both desktop and mobile devices. On\u00a0average,\u00a0you\u2019ll\u00a0want to keep the subject lines under 50 characters regardless of Gmail, Yahoo Mail, iCloud, or Outlook, especially if most of your audience is using mobile phones to open and engage.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Where AI can help is by dividing up your email list by service provider and seeing which subject lines resulted in the best open rates based on commonalities like character count, words, questions vs. sales pitches\u00a0vs.\u00a0announcements,\u00a0etc.\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Start by uploading your email lists and asking the system to separate the email list into four groupings. Then\u00a0export it into individual spreadsheets.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Gmail<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Yahoo<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Hotmail<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Other<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Next, upload the analytics from the last five email campaigns you sent and ask the same AI system to analyze what the subject lines had in common\u00a0when it came to the ones with\u00a0the best open rates and the most clicks by ESP. Open rates can be skewed as the person may not have\u00a0actually\u00a0opened, so adding a click as a secondary requirement can give better data.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">You can tell it to include words, character counts, or the type of subject line. Now, share what your next email campaign is going to\u00a0be\u00a0and have it\u00a0make\u00a0a recommendation for each list based on what will get the most opens and clicks.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Here\u2019s\u00a0what the prompt series could look like.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><strong>Prompt 1:\u00a0<\/strong><\/p>\n<p><i><span data-contrast=\"none\">Please take the attached spreadsheet called &#8220;email addresses&#8221; and break it into four separate spreadsheets: all emails ending in gmail.com in spreadsheet 1, yahoo.com in spreadsheet 2, hotmail.com in spreadsheet 3, and everything else in spreadsheet 4.<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><strong>Prompt 2:\u00a0<\/strong><\/p>\n<p><i><span data-contrast=\"none\">Now take the attached spreadsheet called &#8220;email campaigns,&#8221; where the columns are subject lines for five email campaigns we\u00a0sent\u00a0and the rows are the email addresses from the first spreadsheet that opened the email. Tell me what the subject lines have in common that got the most\u00a0opens\u00a0by email service provider \u2014 including character counts, specific words, tone, voice, and messaging that may have influenced open rates.<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This is easy to\u00a0modify\u00a0with information like the most clicks by email provider or the most clicks with conversions, total unsubscribes and what to avoid sending by email provider, or whatever metric is important to you. Some email providers have audience demographic skews, and this will help you\u00a0cater\u00a0the subject line to that group.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\">\u00a0<\/span><span data-contrast=\"auto\">Now that you have an idea of what to send by email service provider\u00a0or as a whole, you\u00a0can use the\u00a0separated\u00a0lists from the first request and test the subject lines to see if you get better results.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"auto\">The Body Style of Your Emails<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:120}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Another way to use AI for email marketing is to reduce wasted sending. You can split\u00a0test the style of the body to know if a shopping grid, a list format with paragraphs, text only like a letter, or any number of combinations are best. While a split test can give you\u00a0important information, you\u00a0have to\u00a0wait for\u00a0results,\u00a0and you lose 20% or 30% of your list from the test. AI can help predict what will work and by subscriber.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">If you know the next promotion and are stuck choosing between one or two body styles, upload the last five or ten of both styles and the total number of clicks and sales that came from it. AI can tell you which style of email body drives more revenue, and depending on the version, it can export which to send to who. The prompt below will include the type or promotion if you\u00a0aren\u2019t\u00a0sure what to send next and are looking for ideas.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The prompt can look like this.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Please look at the attached spreadsheet where the first column is the metrics $ in sales, total number of clicks, total number of opens,\u00a0and\u00a0the type of email we sent including bundle deals, discounts, product launches, and flash sales.\u00a0\u00a0<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">The next columns are the past 40 email campaigns we\u00a0sent\u00a0and\u00a0they\u2019re\u00a0named for the style of the body\u00a0(i.e.,\u00a0shopping grid, list style, large image with text, newsletter style). The cells show the total aggregate number of\u00a0the\u00a0metrics\u00a0for the email campaign.\u00a0\u00a0<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Please tell us which email template does best\u00a0by the\u00a0type of promotion,\u00a0meaning\u00a0bundle deals, discounts, product launches, and flash sales. Our goal is to know when we should use which template, or if a hybrid like a product grid with bundles makes the most sense.<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The goal here is to get the AI system to tell you which template to use for the email type.\u00a0\u00a0If you have a sale\u00a0coming up with\u00a0a flat percentage off or tiered percentage\u00a0off\u00a0but no bundles,\u00a0maybe a\u00a0product grid can work. For a product release with a bundle, a large image with text below could be best.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\">\u00a0<\/span><b><span data-contrast=\"auto\">Pro-tip:<\/span><\/b><span data-contrast=\"auto\">\u00a0If\u00a0you\u2019re\u00a0an advanced AI user, try segmenting the email template with the metrics and divide it out by email service provider. It may turn out\u00a0Gmail\u00a0users prefer list-style newsletters for discounts while outlook or iCloud users\u00a0may\u00a0prefer\u00a0large\u00a0images with text below them.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"auto\">The Type of Offer to Send by Customer<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:120}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">AI may be able to help you\u00a0determine\u00a0which customers should get what type of offer. Some people respond to\u00a0\u201c20% off on purchases\u00a0of\u00a0$100+,\u201d\u00a0while others may\u00a0respond\u00a0to\u00a0\u201csave $20 on all orders over $100.\u201d\u00a0If the average order value doesn\u2019t change and is right around the $100 mark, there\u2019s really no difference other than catering to the individual\u2019s preferences.\u00a0AI can make this easy.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Upload a spreadsheet where you have the email addresses in column 1, then columns 2 &#8211; 6 have five email campaigns where you did a percent off and\u00a0columns\u00a07 &#8211; 11\u00a0feature\u00a0where you did a dollar amount off.\u00a0\u00a0Now have AI sort the email addresses\u00a0into two groups\u00a0by who shopped more often with one or the\u00a0other and\u00a0add\u00a0a third group where it\u00a0doesn\u2019t\u00a0matter or where\u00a0they\u2019re\u00a0unlikely to respond to either message.\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The same sorting can be done for other deals including free shipping versus a percentage off, bundling where if you add a third product you save, or\u00a0where you\u00a0get\u00a0a free gift\u00a0with purchase.\u00a0There\u2019s\u00a0no shortage of ways to help prevent sending email campaigns with a deal that does not match a user&#8217;s preference. You may also decide to ask for who\u00a0not to email\u00a0and exclude them if\u00a0they\u2019ve\u00a0never engaged with the type of offer.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The prompt could be phrased like:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Please look at the spreadsheet I uploaded where the email addresses are in the first\u00a0column,\u00a0columns\u00a02 through 6 are where we sent a percentage-off deal and columns 7 through 11 are where we offered\u00a0a free gift\u00a0with purchase.\u00a0The cells are the amount of money each customer spent and,\u00a0if it is\u00a0empty,\u00a0it means they did not shop.\u00a0Please create three separate lists where each email address can only appear on one.<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">The first list is for customers that spend the most when the deal is a percentage\u00a0off.\u00a0The second list is for customers that spend more when there is\u00a0a free gift\u00a0with purchase. The third list should include anyone that\u00a0did not shop\u00a0more than twice.<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"auto\">Sending Offers and Products Based on User Preferences<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:120}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">A fourth way to use AI to\u00a0optimize\u00a0email campaigns is by uploading\u00a0SKUs\u00a0purchased\u00a0with email addresses and conversion data from your email campaigns.\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\">\u00a0<\/span><span data-contrast=\"auto\">AI can do a quick analysis and sort the subscribers by people that\u00a0(for example)\u00a0purchase\u00a0blue products but not\u00a0green\u00a0so they can be excluded from campaigns with green products, or that\u00a0purchase\u00a0above $200 but not under $50, or only when something purple is included.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The prompt here could be the following.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"none\">Please take the uploaded spreadsheets named &#8220;purchases by customer&#8221; and &#8220;SKU data&#8221; and analyze the SKUs\u00a0purchased\u00a0by email address.<\/span><\/i><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"none\">The spreadsheet &#8220;purchases by customer&#8221;\u00a0contains\u00a0customer email addresses and the SKUs they\u00a0purchased. The spreadsheet &#8220;SKU data&#8221;\u00a0contains\u00a0all SKUs from the first sheet, with column A as product type, column B as price point, column C as color, and column D as size.<\/span><\/i><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"none\">I&#8217;m\u00a0sending an email campaign featuring blue fitness products priced at $100, available only in small and large. Please create a list of all email addresses that have\u00a0purchased\u00a0products in this color, product type, and price range in either small or large sizes.<\/span><\/i><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">You can take this further by building multiple lists \u2014 for example, customers who shop purple under $50 in medium, or those who buy brown and green in small and large and blue in medium and large, consistently spending between $50 and $100.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"auto\">What People Purchase\u00a0by\u00a0Region<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:360,&quot;335559739&quot;:120}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">If\u00a0you\u2019ve\u00a0tried the above prompts,\u00a0you\u2019re\u00a0now moving to an advanced level of prompting for email marketing. This is where it gets\u00a0fun,\u00a0and we can combine multiple prompts and strategies from above.\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Take some of the spreadsheets and add information like shipping zip code, email address, SKUs, and the deal or offer the customer responds to. On top of\u00a0this,\u00a0add the month of the purchase or a range like Q3 with multiple purchases.\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The goal here is to have AI\u00a0determine\u00a0which products as groups should be featured by region, especially with seasonal purchases. In the winter,\u00a0it is cold in the Northeast but sunny and warm in Florida, Arizona, and Southern California. This would automatically make product mixes like t-shirts versus sweaters more relevant for those regions. There could also be trends.\u00a0Let\u2019s\u00a0say\u00a0people in the Pacific Northwest want free shipping,\u00a0while the mid-Atlantic\u00a0customers\u00a0enjoy a percentage off.\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Build a prompt that matches your spreadsheet and guides the AI to know what is in each column and row, what the data in the cells are, and what you expect from the output. Then add something like this into the prompt:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\">\u00a0<\/span><i><span data-contrast=\"none\">Using this data, build regional email lists and\u00a0identify\u00a0shopping trends that are meaningful and actionable. Break regions out by states matching the U.S. Census Bureau&#8217;s geographic divisions (reference:\u00a0<\/span><\/i><a href=\"https:\/\/www2.census.gov\/geo\/pdfs\/maps-data\/maps\/reference\/us_regdiv.pdf\"><i><span data-contrast=\"none\">https:\/\/www2.census.gov\/geo\/pdfs\/maps-data\/maps\/reference\/us_regdiv.pdf<\/span><\/i><\/a><i><span data-contrast=\"none\">\u00a0\u2014 divisions are shown on page 2). For each region, recommend the offer type with the highest conversion rate, the best-performing product SKUs, and any\u00a0additional\u00a0insights\u00a0the data supports.<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">If\u00a0you\u2019re\u00a0cleared to use AI to divide and make recommendations on your email marketing strategy, it can help take the guesswork out of maximizing your ROI. With the right prompts\u00a0you\u2019ll\u00a0be able to divide and segment lists, customize products and offers to the customers they resonate with, and know when and who to send a campaign to.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"none\">National Funding does not provide tax,\u00a0legal\u00a0or accounting advice. This material has been prepared for informational purposes only. You should consult your own tax,\u00a0legal\u00a0and accounting advisors.<\/span><\/i><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:195,&quot;335559739&quot;:195}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Email marketing (and SMS) are your company\u2019s ATM machine.\u00a0They\u2019re\u00a0consumers and clients that gave you their information, have shopped already, and who are familiar with your brand, which is why these campaigns convert better than other channels. But when you over-email, use the wrong messaging, or the offers are not relevant to the\u00a0recipients,\u00a0your company gets marked<a class=\"excerpt-read-more\" href=\"https:\/\/www.nationalfunding.com\/blog\/5-ways-to-make-more-money-with-ai-email-marketing\/\" title=\"Read5 Ways to Make More Money With AI &#038; Email Marketing\">&#8230; Read more &raquo;<\/a><\/p>\n","protected":false},"author":38,"featured_media":208735,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18],"tags":[],"class_list":["post-208734","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-trends"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>5 Ways to Make More Money With AI &amp; Email Marketing<\/title>\n<meta name=\"description\" content=\"AI systems like ChatGPT, Perplexity, and Claude can help you maximize your email marketing campaign ROI using data points with these 5 easy prompts.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.nationalfunding.com\/blog\/5-ways-to-make-more-money-with-ai-email-marketing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"5 Ways to Make More Money With AI &amp; 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