Better Be Buzzin'’s Post

In the evolving digital landscape, cross-web clickstream data offers an alternative to traditional targeting methods, aligning with the strategic shift towards more personalized and contextually relevant advertising. This approach supports the creation of advertising experiences that are not only compliant with privacy regulations but also deeply engaging for consumers. For marketers looking to navigate this new terrain, the Consumer Data Types Cheat Sheet available at https://www.voxtrack.ai provides valuable insights into leveraging various data types for enhanced marketing strategies.

Addressable Geo-Fencing is a powerful tool for programmatic advertisers. Simpli.fi’s Addressable Geo-Fencing offers precise location-based targeting, creating individual geofences around properties for household targeting. AGF can enhances various marketing efforts by including addressable TV and direct mail, by reaching users on multiple devices. You can upload address lists, which are converted into geo-fences, targeting devices within those areas. Add in demographic and behavioral data can refine targeting, while regular updates ensure accuracy. Benefits include high precision, scalability, nuanced user profiles, better reach compared to IP-based solutions, foot traffic attribution, personalized ad creatives, granular reporting, and cross-device reach. If you want to learn more, hit me the DM's & let's chat! #Simplifi

In the evolving digital landscape, cross-web clickstream data offers an alternative to traditional targeting methods, aligning with the strategic shift towards more personalized and contextually relevant advertising. This approach supports the creation of advertising experiences that are not only compliant with privacy regulations but also deeply engaging for consumers. For marketers looking to navigate this new terrain, the Consumer Data Types Cheat Sheet available at https://www.voxtrack.ai provides valuable insights into leveraging various data types for enhanced marketing strategies.

You heard it here FIRST! Read all about the patented Dstillery cookieless targeting solution ID-free® then test it out and see for yourself! #idfree #cookielesstargeting #cookielessfuture

Recent news from Search Engine Journal highlights how marketers must prepare now for the changes coming in 2024, with Google's plan to bid farewell to third-party cookies. Read more to explore the revolutionary landscape of ad targeting, as Google unveils a privacy-focused strategy, leveraging AI and first-party data to replace third-party cookies >> https://lnkd.in/gsJDNGMz #GoogleAds #DigitalMarketing 

Due to Google's impending phase-out of third-party cookies in Chrome. AI and First Party data are becoming key components of the new privacy and targeting tactics. #paidmedia #aiadvertising #cookielessfuture

The end of third-party cookies doesn't have to mean the end of effective targeting on the open web. But with so many cookieless options available, it can be difficult to determine which approach will deliver the best results. Novatiq’s latest blog post is breaking down the leading approaches and revealing the one comprehensive solution that offers optimal scalability, accuracy and privacy: telco-verified IDs. Don't miss out on this must-read post for publishers and brands - https://lnkd.in/eB4qVSCz #marketing #CX #digitaladvertising #personalisation #datadrivenmarketing #adtech #cookies 

When we talk about cookie deprecation, we often talk about targeting audiences... but there's more to advertising than finding an audience. Jamie Sltzer makes a great point: “We’ve started to shift the conversation to also include measurement because it’s potentially even more impacted by the loss of third-party cookies than targeting... There are so many tools and alternatives coming to market right now on the activation side of things, not so much when it comes to measurement.” This is exactly why it's so important for advertisers to reassess their approaches to attribution, media mix modeling, and experimental solutions. #CookieDeprecation #PerformanceMeasurement #MarketingMeasurement

There are strong indications that targeting online ads is counterproductive, as brilliantly summarized by Jon Bradshaw in #Mi3 https://lnkd.in/d75H4M6e   Here is my summary of the recent findings: 🎯Well-targeted online advertising CAN increase the Click-Through Rate, but CTR need to double to compensate for the cost of targeting, which is unlikely to happen. 🎯Narrow segments require a sales lift that is impossible to achieve to compensate for the extra cost of targeting.  🎯Targeting on online platforms is VERY inaccurate and puts the same person in VERY many and contradictory segments. 🎯Advertising with “Reach”-settings on Meta-platforms outperform “Conversion” in improving incremental sales by 50% in MMM studies. 🎯Third and second-party data performs worse than randomly targeting people. 🎯First-party data performs better than random reach targeting, but good old contextual targeting performs much better and is cheaper.   Things I suggest you add to the math for a more complete picture: ⚠️The actual cost of building and maintaining the Martech stack and data for “targeting” gains that do not exist. ⚠️The extra cost of producing targeted messages/creative for “targeting” gains that do not exist. ⚠️The extra cost of managing all targeted media purchases/optimisation for “targeting” gains that do not exist. Still I have never seen anyone do the full calculation including staff and tech cost to justify target efforts. Read the full article for sources.

This is spot on. Even if you don't know how accurate targeting will be, working out whether it has any chance of paying back is very easy (what's the required conversion improvement to cover the extra cost?). You'll very often find that either there's no chance of covering the cost or it comes out about even on short term conversions but you're giving up the benefits of reach. If somebody tells you AI will make it work, point them towards the numbers around the edge of that dartboard picture.