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Google Update: What’s changed in Gmail and Postmaster Tools?
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Blog
Google Update: What’s changed in Gmail and Postmaster Tools?
Richard Wall
08-10-2025
Google refines email deliverability with smarter Gmail sorting and Postmaster Tools v2 insights for better sender performance.
The secrets to retaining Black Friday buyers this festive season
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Blog
The secrets to retaining Black Friday buyers this festive season
Andy Gilhooley
25-09-2025
Learn how to turn one-time Black Friday shoppers into loyal customers with festive flows, retention tactics and post-purchase engagement.
Black Friday campaign planning
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Infographic
Black Friday campaign planning
Boost your Black Friday marketing with this quick-reference infographic which polled ecommerce marketers on planning!
The 5 types of Black Friday customers – and how to respond to each
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Blog
The 5 types of Black Friday customers – and how to respond to each
Richard Wall
23-09-2025
Loyalists, Researchers, and Impulse Buyers are all after different things from you this Black Friday. Are you set up to give it to them?
Why Black Friday shoppers behave differently and what you can do about it
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Blog
Why Black Friday shoppers behave differently and what you can do about it
Andy Gilhooley
19-09-2025
Discover how Black Friday shoppers differ from regular customers and learn strategies to segment, engage and turn them into loyal buyers.
15 cheat codes for Black Friday/Cyber Monday success
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Blog
15 cheat codes for Black Friday/Cyber Monday success
Andy Gilhooley
19-09-2025
Boost Black Friday & Cyber Monday sales with 15 proven cheat codes. Stand out in busy inboxes, drive clicks and convert customers fast.
TikTok Made Me Buy It: What marketers can learn from viral shopping
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Blog
TikTok Made Me Buy It: What marketers can learn from viral shopping
Anastasia Pop
18-09-2025
Discover how TikTok trends can boost your Black Friday campaign. Tips for creative content, inspiration and conversion.
How to spot bot opens and clicks in your email statistics
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Guide
How to spot bot opens and clicks in your email statistics
The percentage of bot opens and clicks in emails is increasing. How can you recognise and extract human behaviour from your email statistics?