Dustin Wassner的动态

?Most ad budgets fail because they optimize the wrong way.? For years, marketers were told to manually tweak bids for better results.?? ?? But Google’s AI quietly started outperforming human decision-making.?? And the brands that caught on are now spending less for better results.?? The strategy? Portfolio Bid Strategy.???? ?? Reallocates ad spend dynamically across campaigns. ?? Adjusts bids in real time based on conversion value. ?? Scales faster than manual bidding ever could. I tested this on $1,000 in ad spend and saw a 40% increase in efficiency???? ?? If you’re still manually biding, it’s time to rethink. ?? Drop a comment if you want my setup guide. #PPC #budgetoptimization

#AppDevelopers are you looking for ways to better evaluate your #MachineLearning models? Our #DataScience team shares how to evaluate the performance of install rate models in a DSP, important metrics that are essential for campaign's bid prices which also directly impact advertiser’s #CampaignPerformance. Dive in to learn more: https://lnkd.in/gYBUQpTM

It’s the middle of the week again, and we’re back with the latest AdTech headlines! Dive into the latest tools & innovations transforming the digital advertising space. Follow Datawrkz for the latest insights and updates. 1) Google expands AI-powered ad image editing across platforms. ?(Source: Search Engine Journal) https://lnkd.in/eKKw3-WR 2) YouTube launches new features at the ‘Made On’ event. (Source: Search Engine Journal) https://lnkd.in/eENGXw_j 3) Reddit introduces AI & automation tools for ads manager. (Source: Search Engine Journal) https://lnkd.in/evqpZ-m4 4) Google ads enhances video performance for Performance Max campaigns. (Source: Search Engine Land) https://lnkd.in/gJkDRknV 5) FTC reviews data practices amid Amazon's shoppable TV expansion. ?(Source: AdExchanger) https://lnkd.in/g6-jZaaK Click here to visit our website- bit.ly/4befWXA #adtech #digitaladvertising #marketingandadvertising #digitalmarketing #datawrkz

?? Big changes in Google Ads alert! ?? Google's latest update has thrown a curveball at advertisers using Smart Bidding strategies by removing ad scheduling compatibility. Here's what you need to know: ?? **What’s Changed?** Ad scheduling, once a handy tool to control when your ads appear, is no longer available for Smart Bidding campaigns. This means you can't target specific times anymore. Google's AI algorithms are taking the reins to optimize ad performance based on historical data and real-time signals. ?? **Why Does It Matter?** Without ad scheduling, businesses might struggle to align their ads with peak times or business hours, potentially affecting ad spend efficiency and campaign control. Ads may now run during less optimal periods, possibly impacting budget and engagement. ?? **Adaptability is Key** Advertisers need to lean into Google's automation-focused approach, embracing strategies like Target CPA and Maximize Conversions that capitalize on machine learning to enhance campaign performance. ?? **The Community Reacts** There's a lively debate within advertising circles about this update. Some see it as a bold move towards full automation, while others are concerned about losing manual control over key aspects of their campaigns. ?? **How are you adjusting to these changes?** Are you embracing Google's automated approach, or do you feel this disrupts your traditional strategies? Let’s discuss in the comments! ?? Keywords: #GoogleAds #SmartBidding #AdScheduling #DigitalMarketing Adapt your strategies to ensure success in this new, AI-driven landscape! ????

How to Take Control of Performance Max (Without Breaking It) One of the biggest frustrations I hear about Performance Max is that it feels like a black box. You feed Google your budget, creatives, and audience signals—and hope for the best. But hope isn’t a strategy. Here’s how I take control while still letting automation do its thing: 1. Use audience signals strategically: Upload customer lists, use value-based conversions, and refine signals to help Google find the right users. 2. Test creative variations: Don’t just throw in assets and pray—rotate high-quality images, videos, and copy that match user intent. 3. Monitor placement performance: PMax runs across Search, Display, YouTube, Gmail, and more. Check where your budget is going and adjust based on what’s driving actual results. 4. Layer in offline conversions: If you’re in lead gen, import offline conversion data to help Google optimize for real outcomes, not just clicks. PMax works best when you feed it great data, creative, and signals. It’s not about controlling every detail—it’s about guiding the automation. #googleadstips #googlepmax #googleads2025

Everyone in the digital advertising world is feeling the crunch of rising CPCs. There's more AI involved in management than ever before, but it appears that AI is not driving the efficiencies we all are hoping for. CPC is rising by?7%?for Google and?11%?for Microsoft, even though click growth remains steady. Overall, Google search spending is up?10%?YOY, and Microsoft is up 7%, likely just due to increased CPCs. ???? Across our knowledge base, no industry is immune to these rising CPCs. Some clients have seen CPCs in the $100s when using TCPA bid strategies. ?? So how do we combat this? CPC cohort analysis gives us insight into the CPC ranges that drive the most impactful performance. These analyses allow us to discover diminishing returns - when spending in one area is incredibly high but only drives a handful of conversions. Sure, those conversions are valid but are they worth the huge cost? Likely not, especially when we can maximize more effective keyword cost centers. We just have to manage lower costs while still being able to effectively spend against competitors. It's a fun, but tiring, dance.??

Monday is here, and so are the top 5 updates from around the AdTech world curated for you. Follow Datawrkz to stay on top of upcoming news and updates. 1) Google Shopping Ads get conversion annotations. (Source: Search Engine Land) https://lnkd.in/dph2K_wP 2) Reddit eyes potential in search ads following Google traffic gains. (Source: Search Engine Land) https://lnkd.in/gec-YmCU 3) X will soon enable advertisers to create ad audiences with AI. (Source: Social Media Today) https://lnkd.in/dkSb5dc2 4) Prime Video launches shoppable ad units ahead of Amazon's first upfront. (Source: AdExchanger) https://lnkd.in/gd-U5fVS 5) AdGPT exits stealth to create AI-generated ads for SMBs. (Source: AdExchanger) https://lnkd.in/gAb7-UGK Click here to visit our website- bit.ly/4befWXA #google #googleads #reddit #amazon #primevideo #AI #socialmedia #advertising #adtech #programmaticadvertising #digitaladvertising #digitalmarketing #marketing #programmatic #marketingandadvertising #ctv #martech #datawrkz

5 Essential Feed Attributes to Optimise & Improve Google Shopping Performance In the AI-driven era of Google Ads, especially with campaigns like Performance Max, feed quality is paramount. A well-optimised feed provides Google's AI with the best data, improving ad impressions and lowering CPCs. Google Shopping auctions seem like a black box... What attributes are weighted heavily in the auction algorithm? What attributes will impact front end (user experience, CVR, efficiency) versus back end performance (relevancy, serving, impressions, clicks)? Below, I've detailed which key attributes to focus optimisations on in order to stay competitive and ultimately improve shopping ad performance. #google?#googleads #advertising?#onlinemarketing

Absolutely agree, Marissa Mayer! The ideal balance lies in aligning consumer demand with the marketer's offer, delivering "the entire search information in one click." However, the critical question is: what will be the cost to marketers for sharing their monetizable data with platforms like Google or OpenAI? That’s the real challenge to solve—the ultimate holy grail of monetizable data share.