AI makes producing marketing material fast and cheap.<\/p>\n
That is both the opportunity and the risk.<\/strong> Cheap production tempts more output, and more output is usually worse marketing \u2014 more emails, more posts, more content nobody asked for.<\/p>\n The businesses that benefit use it to make fewer things better<\/strong>, not more things faster.<\/p>\n Here is where it genuinely helps.<\/p>\n The obvious one, and a real saving.<\/p>\n What it does well:<\/strong><\/p>\n What still needs you:<\/strong><\/p>\n Read every word before it goes out.<\/strong> Generated copy is fluent, and fluent is not the same as accurate \u2014 particularly around prices, dates and availability.<\/p>\n The most underrated use, and the one with the biggest advantage if your marketing runs on your business system.<\/p>\n A standalone email tool knows what you uploaded and how people responded to previous sends.<\/p>\n Your ERP knows what people bought.<\/strong><\/p>\n That means a segment can be defined by real facts:<\/p>\n Narrow beats broad, consistently.<\/strong> Two hundred people who bought a specific product will outperform two thousand vaguely relevant contacts on every measure, including unsubscribes.<\/p>\n FIGURE 1: WHERE AI HELPS IN MARKETING, MOST USEFUL FIRST<\/p>\n Segmentation<\/p>\n Drafting<\/p>\n Analysis<\/p>\n Personalisation<\/p>\n What it does.<\/strong> Answers questions about campaign performance without building a report.<\/p>\n The useful version:<\/strong> connecting campaigns to orders<\/strong>, not just opens and clicks. If your marketing and your sales data share a database, you can see the revenue that followed a campaign.<\/p>\n Report that.<\/strong> Open rates are soft and inflated by privacy features. Revenue is real, and most standalone email tools cannot show it to you at all.<\/p>\n What it does.<\/strong> Different content for different people, based on their history.<\/p>\n Where it works:<\/strong> recommending a genuine complement, a reorder reminder for something consumable, content relevant to what they bought.<\/p>\n Where it fails:<\/strong> when it becomes obvious. A customer who mentions something once and then sees it referenced everywhere finds that unsettling rather than helpful.<\/p>\n A useful test:<\/strong> would you say this to them on the phone? “I noticed you bought a printer, you might need cartridges” is fine. “I noticed you have been looking at this three times this week” is not.<\/p>\n Four ways, and all are avoidable.<\/p>\n The most common. Producing an email costs nothing now, so more get sent. More sending produces unsubscribes and spam complaints, which reduce deliverability for everyone<\/strong> on your list \u2014 including the people who wanted to hear from you.<\/p>\n Test before any send:<\/strong> if this email did not arrive, would anyone notice? If not, do not send it.<\/p>\n AI produces competent, conventional output. If everyone in your industry uses it the same way, everyone sounds the same.<\/p>\n Your differentiation is what it cannot generate<\/strong> \u2014 your specific experience, your actual customer stories, your point of view.<\/p>\n It will produce specifications, certifications and guarantees that sound right. In marketing material this is not just embarrassing \u2014 it can be a legal problem.<\/p>\n Keep a list of things it must never claim<\/strong> and check every piece against it.<\/p>\n Automation makes it easy to add people to lists. A support enquiry is not a newsletter subscription. A business card is not consent.<\/p>\n Only email people who agreed.<\/strong> Include an unsubscribe link and honour it immediately. This is a legal requirement in most countries and a deliverability requirement everywhere.<\/p>\n FIGURE 2: MARKETING THAT IMPROVES AND MARKETING THAT DECAYS<\/p>\n Improving<\/p>\n Decaying<\/p>\n Worth stating plainly: there is no point improving your copy if the emails are not being delivered.<\/p>\n Authenticate your domain.<\/strong> SPF, DKIM and DMARC. Without these, a growing share of your mail never arrives.<\/p>\n Never buy a list.<\/strong> The fastest way to destroy a sending reputation, and illegal in many places.<\/p>\n Clean your bounces.<\/strong> Repeatedly mailing dead addresses tells providers you are careless.<\/p>\n Warm up gradually.<\/strong> If you have never sent bulk email from your domain, do not start with ten thousand messages.<\/p>\n Revenue attributed to campaigns.<\/strong> The number that matters, and the one you can only get if marketing and sales share a database.<\/p>\n Click rate.<\/strong> More reliable than opens, because a click is a real action.<\/p>\n Unsubscribes per campaign.<\/strong> A spike means frequency or relevance is wrong. Treat it as a warning, not a statistic.<\/p>\n Delivered rate.<\/strong> Below 95% means list quality problems.<\/p>\n FIGURE 3: A SENSIBLE ORDER TO START<\/p>\n Fix deliverability<\/p>\n Build one narrow segment<\/p>\n Keep frequency the same<\/p>\n AI makes marketing faster to produce and better targeted<\/strong>. If your campaigns run on your business data, the targeting is the bigger advantage.<\/p>\n The risk is not quality \u2014 it is volume.<\/strong> Cheap production tempts more sending, and frequency is what costs you a list.<\/p>\n Fix deliverability, segment narrowly, read every draft, keep the frequency, and measure revenue.<\/p>\n Want campaigns built from what your customers actually bought?<\/p>\n Get in touch. We will check your deliverability and consent position first, then build segments from real order history.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":" The honest framing AI makes producing marketing material fast and cheap. That is both the opportunity and the risk. Cheap production tempts more output, and more output is usually worse marketing \u2014 more emails, more posts, more content nobody asked for. The businesses that benefit use it to make fewer things better, not more things […]<\/p>\n","protected":false},"author":3,"featured_media":9166,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[],"class_list":["post-9165","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai"],"yoast_head":"\n1. Drafting<\/h2>\n
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2. Segmentation<\/h2>\n
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3. Analysis<\/h2>\n
4. Personalisation<\/h2>\n
Where it damages you<\/h2>\n
Frequency<\/h3>\n
Generic content<\/h3>\n
Invented claims<\/h3>\n
Consent<\/h3>\n
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Deliverability comes first<\/h2>\n
What to measure<\/h2>\n
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A sensible plan<\/h2>\n
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The short version<\/h2>\n