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If you’re a Meta advertiser, your ad strategy is everything. It’s more important now than it’s ever been before. Because advertisers have diminishing control, the ads are ultimately the best lever for impacting your results. Meta Andromeda changed the rules. Creative diversification replaced micromanaged targeting as the lever advertisers can actually control. But you can’t approach this on a whim. A good, successful ad strategy involves significant thought and planning. And whether or not it works goes far beyond whether you had a good image or video. And truly, that may be the biggest misunderstanding regarding what a successful…
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1.2K Despite your best efforts, bounced emails can — and will — happen from time to time; it’s simply a part of the email marketing process. However, just because email bounces come with the territory sometimes, it doesn’t mean that these unwanted occurrences have to derail your digital marketing campaign. With a proper understanding of what causes hard and soft bounces, as well as a smart game plan in place for counteracting these problems, there’s no reason to fear for your sender reputation and campaign success. To help you eradicate the threat of bounced emails from your upcoming inbox campaigns,…
We have recently released an article in our Knowledge Base detailing all the exciting new features packed into AskiaAnalyse 5.6. This blog post is an accompaniment, promoting the release and summarising the most useful, everyday features it contains. Filtered Weighting Filtered weighting removes the need for manual intervention when implementing certain weighting schemes. We have a blog article on this handy new feature here. The article contains a video where I walk through an example that AskiaAnalyse could not handle previously. In summary, you’ll see these new options in the new version: A: This allows you to set a sub-population…
1. What is the main difference between LLMs and SLMs?LLMs are large, versatile models, while SLMs are smaller, task-specific models.2. Which is faster: LLM or SLM?SLMs are faster because of their smaller size and fewer parameters.3. Are LLMs more accurate than SLMs?LLMs generally provide higher accuracy and deeper reasoning than SLMs.4. Which one is cost-effective, LLM or SLM?SLMs are more cost-effective and require fewer resources to run.5. Can LLMs and SLMs work together?Yes, many systems employ hybrid approaches that combine both for enhanced efficiency and performance.
Overseeing a worldwide network of franchise locations comes with challenges that extend far beyond typical business operations. From coordinating brand messaging across different regions to ensuring consistent customer experiences worldwide, international franchises face complexities that demand sophisticated solutions. These challenges can quickly become roadblocks to sustainable growth without the right technology. The statistics tell the story: with over 805,500 franchises in the U.S. alone generating $936.4 billion in economic output, the franchise model clearly works. But scaling these operations globally requires systems that can adapt to different markets while maintaining your brand’s core strengths.HubSpot’s comprehensive platform offers powerful solutions to…
Author: RichAds Everyone knows how lucrative online casino offers can be if promoted in the wealthiest parts of… The post Tips and Creatives for Launching iGaming Tier-1 Offers in TMAs (guest post by RichAds) appeared first on Voluum Blog.
Listen to the article 2 min This audio is auto-generated. Please let us know if you have feedback. LinkedIn will now integrate more audience engagement data from parent company Microsoft, in order to expand LinkedIn’s ad targeting capacity, based on expanded digital tracking cues. Last week, LinkedIn announced an update to its Terms of Service in order to cover expanded use of user data for its AI tools, as well as an expansion of the member data that it shares with Microsoft for Microsoft’s own ad targeting and promotions. Essentially, LinkedIn will now share your profile and activity data with…
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Computer scientist Peter Burke has demonstrated that artificial intelligence can autonomously generate the control systems – “brains” – of other robots, completing complex coding tasks significantly faster than traditional human teams. The project leverages advanced generative AI models, including ChatGPT, Gemini, and Claude, to create a fully functional drone control system that operates entirely onboard the drone. Burke, a professor of electrical engineering and computer science at the University of California, Irvine, structured the project around two types of “robots.” The first is the AI software running on laptops and in the cloud, responsible for writing code. The second is…