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Automation in 2025

By |2024-12-04T15:03:27+00:00December 16th, 2024|

As we approach 2025, a new report reveals that direct mail automation is poised to transform marketing strategies, combining the power of personalisation, efficiency, and sustainability like never before.  Recent data from SeQual shows 61% of marketers increased their investment in direct mail automation in 2024, and the trend is accelerating.  With the global direct mail automation software market projected to grow at a compound annual growth rate (CAGR) of 24.3%, reaching $3.99 billion by 2030, the potential for this channel is undeniable. Unlocking New Possibilities with Automation Advances in artificial intelligence (AI) are enabling hyper-personalisation, allowing marketers to tailor messages not just by name but by preferences, behaviours, and even predicted future actions. This level of precision is already [...]

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Slow and Steady Wins the Race! DM still Growing

By |2024-12-04T14:53:40+00:00December 4th, 2024|

According to a new global industry report by The Business Research Company, the direct mail advertising market is set to grow steadily in the coming years.  Valued at $76.68 billion in 2023, the market is projected to rise to $79 billion in 2024, with a compound annual growth rate (CAGR) of 3.0%.  By 2028, it is expected to reach $87.93 billion, growing at a CAGR of 2.7%. This consistent growth is a testament to direct mail’s resilience in an era dominated by digital marketing. With response rates ranging from 2.7% to 4.4%—significantly higher than email’s 0.6%—and an average ROI of $4.09 for every $1.27 spent, direct mail remains a vital and highly effective marketing channel. Its longer shelf life and [...]

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Data Hygiene and GenAI

By |2024-11-13T10:55:58+00:00November 13th, 2024|

Working in data hygiene, we know a thing or two about the importance of data quality. As more businesses look to harness the power of GenAI, they too are learning that data quality and hygiene are critical to success. AI systems are only as good as the data fed into them, and generative AI (GenAI) is no exception.  BT’s Chief Data & AI Officer, Deepika Adusumilli, recently highlighted that while ideas for GenAI applications are plentiful, turning them into high-impact tools requires rigorous data quality standards. Without clean data, even the best AI strategies struggle—a reminder of the direct mail adage, “rubbish in, rubbish out.” Direct Mail Lessons for GenAI: Data Quality is a Continuous Process The direct mail sector [...]

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Ensuring Data Accuracy in the Age of AI: A Lesson from AI-Generated Mistakes from across the Pond

By |2024-08-07T09:55:32+00:00August 7th, 2024|

In recent months, significant incidents have highlighted the pitfalls of AI when it comes to maintaining data accuracy in public records. These events serve as a crucial reminder of the importance of data hygiene, particularly for organisations that rely on precise data processing. The Incident: Pregnant Woman Wrongly Accused One notable incident involved a pregnant woman in Detroit who was falsely arrested based on AI-generated evidence. Porcha Woodruff, eight months pregnant at the time, was wrongly identified by an AI system as a suspect in a carjacking case. This led to her wrongful arrest and detention for 11 hours, causing her significant emotional distress and physical complications leading to hospitalisation. This case is part of a broader pattern, with several [...]

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The Curious Case of AI-Generated Data Hacking: A Cautionary Tale

By |2024-02-05T09:30:28+00:00February 5th, 2024|

In the ever-evolving landscape of cybersecurity, a bizarre new trend has emerged, blurring the lines between reality and fiction. Picture this: a hacking forum on a quiet Sunday, buzzing with the advertisement of a stolen data cache from Europcar. The claim? Over 48 million customers' personal information up for sale. The twist? The data might just be a figment of artificial intelligence's imagination, specifically conjured up by ChatGPT. Europcar's response was swift, with spokesperson Vincent Vevaud debunking the claim after a meticulous examination. The inconsistencies were glaring: The purported number of records didn't match Europcar's database. Sample data was likely AI-generated, featuring non-existent addresses, mismatched ZIP codes, and bizarre email domains. None of the email addresses were found in Europcar's [...]

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