Optmyzr

Get your Q4 holiday campaigns ready with Microsoft’s top tips. Join Joe Dries from Microsoft as he dives into key shopping strategies, including early preparation, AI-driven targeting, and leveraging first-party data to connect with holiday shoppers. Discover how to optimize your ad spend and reach high-value audiences for a successful holiday season. Takeaways -> - Early Preparation is Key: Consumer shopping habits are shifting earlier, with many starting to shop as soon as September. Brands should have strategies and campaigns ready well before peak shopping days. - Leverage AI for Better Targeting: Microsoft's generative AI capabilities help advertisers refine audience targeting, focusing on users who demonstrate real interest, which improves ad relevance and click-through rates. - Prioritize Profitability: For e-commerce campaigns, advertisers should consider profit-driven metrics like bid-to-profitability rather than solely focusing on ROAS, helping to maximize returns on high-margin items. - Use First-Party Data: Leveraging first-party data, such as customer lists and purchase behaviors, allows advertisers to create targeted, high-value audience segments and extend reach effectively across Microsoft's platform. - Optimize with Microsoft’s Identity Graph: By tapping into Microsoft's unique identity graph, advertisers can reach an unduplicated, high-intent audience across platforms like the Microsoft Audience Network and Connected TV. Follow Joe on LinkedIn: https://lnkd.in/gFgZ7mcX ► Get actionable PPC tips, strategies, and tactics from industry experts twice a month: https://lnkd.in/gYWUhk2x ► Make your PPC management less complex with Optmyzr's tools. Start a 14-day free trial today: https://lnkd.in/gAT5STbh

AI has become a core part of our DNA in large part due to the forward thinking of our co-founder, Frederick Vallaeys. He shared several innovative use cases as well as ways we harness AI at SMX London. Want to learn more about Sidekick and our audience analyzer? Get in touch and explore a free trial!

I absolutely loved Frederick Vallaeys’ talk at #smxlondon, titled “Ready to Automate Your Most Tedious PPC Tasks? Meet Your New Ad Scripts Programmer: GPT!” That was such an inspiring session 💪 Vallaeys, co-founder of Optmyzr and former Google Ads Evangelist, highlighted the power of GPT in simplifying complex tasks and improving efficiency. Here are my takeaways: Power of GPT in PPC Automation Vallaeys discussed how GPT could generate scripts for automating repetitive PPC tasks, such as reporting or search query analysis, reducing time spent on mundane activities. He emphasised that combining the flexibility of Google Ads scripts with the capabilities of GPT opens up new automation possibilities. How GPT Works in Ad Scripting He outlined a simple framework: define the problem, break it down into steps, and then teach GPT to write the script. GPT’s ability to analyse data, interpret problems, and even troubleshoot errors in scripts was a focal point. Applications of GPT Vallaeys provided examples, such as automating the management of negative keywords or identifying typos and variations in search terms. 1 Negative Keyword Conflicts Issue: changes in Google's negative keyword matching can inadvertently block relevant search terms due to close variants. Solution: use GPT to write scripts that identify and resolve conflicts between negative keywords and valuable search queries, ensuring optimal ad visibility. 2 Identifying Trending Search Terms Challenge: manually sifting through search terms to find emerging trends is time-consuming. Implementation: GPT can create scripts that analyse search term data over different periods. These scripts identify significant changes in impressions, helping marketers capitalise on new opportunities. 3. Seasonality Analysis Objective: understand and anticipate fluctuations in campaign performance due to seasonal trends. Method: utilise GPT to perform time-series decomposition on performance data. This analysis separates data into trend, seasonality, and residual components, providing deeper insights into performance patterns. Customisation and Cost-Efficiency He also touched on using different versions of GPT for cost optimisation, explaining the cost-effectiveness of certain models for tasks like keyword analysis versus more complex tasks requiring higher-cost models. Future of GPT in Agencies Vallaeys suggested that agencies should customise GPT models for individual clients, enabling more tailored automation: - Develop tailored GPT models trained on specific client data and guidelines. - This personalisation ensures that outputs, such as reports and recommendations, align closely with the client's brand voice and objectives. The session emphasised the importance of understanding GPT’s capabilities and limitations, showing how it can significantly streamline PPC processes when used effectively. Can't wait to try some of these ⚡️ Thanks Frederick Vallaeys!

Adapting to Google’s PMax & Standard Shopping Campaign update? Optmyzr has you covered! ICYM the announcement here’s a quick TL;DR: In October 2024, Google started changing how PMax & Standard Shopping campaigns interact in the same account. Now, PMax will not automatically take priority over Standard Shopping; normal auction dynamics will apply, & the campaign with the highest Ad Rank will serve. The update opens up opportunities for better campaign strategy & control. It’s important now, to ensure both PMax & Standard Shopping campaigns are well-optimized to stay competitive in auctions. Some strategies you can test this shopping season: 1. Adjust your Bids: Review & adjust bids for both PMax & Standard campaigns to avoid conflicts b/w campaign types. Make sure each campaign is optimized for Ad Rank to improve your chances of winning auctions. 2. Refine Your Brand vs. Non-Brand Strategy: With PMax no longer automatically taking priority, reconsider how you’re using Standard Shopping for branded terms & PMax for non-branded ones. Evaluate which approach works best for your business goals & adjust your strategy accordingly. 3. Monitor Your Campaign Performance: Use monitoring tools to track the impact of this change & how both PMax & Standard Shopping campaigns perform. Make adjustments as & when needed. 4. Revisit Priority-Based Campaigns: Now might be a good time to bring back priority-based campaigns. Set up multiple campaigns with different bid priorities to gain more control over where your products appear in search results. 5. Search Sculpting: Use negative keywords to control which products appear for specific searches and ensure that the right products are being shown at the right time, reducing overlap between campaigns & improving relevance. Optmyzr tools that can help you navigate the change & test these strategies smoothly: 1. Shopping Campaign Management: Create or restructure your Shopping & PMax campaigns from one place. Generate product partitions & keep campaigns aligned with your merchant feed—all in a few clicks. 2. Shopping Analysis: Get insights into your campaigns by analyzing aggregated data from your shopping feed. View performance metrics & feed attributes all in one place. 3. Feed Management & Audits: Tools like Smart Product Labeler & Feed Optimization can help you manage your product data feeds that power Shopping campaigns. Since Ad Rank isn't available for PMax, optimizing your product feed is crucial for improving campaign performance. Shopping Feed Audit gives you detailed feed health reports to help you ensure data quality. 4. Rule Engine: Automate & monitor your Shopping campaigns, including bid adjustments & performance monitoring using product-level, product group, and listing group scopes. 5. Budget Management: While not shopping-specific, Optmyzr's budget tools can be used to manage spend across Standard & PMax campaigns. Let us know what strategies you want to test this shopping season!

Frederick Vallaeys about to deliver a 10x ROI on SMX London attendees' time with scripting and ChatGPT

Our own Frederick Vallaeys and our customer Sam Tomlinson getting ready for a day of learning at SMX London

Google’s Market Share Dips Below 50% for the First Time in History! For the first time ever, Google’s search market share has fallen below 50%, signaling a major shift in the search engine landscape. New players like Amazon, TikTok, and AI-powered search engines are stepping in, giving Google real competition. What’s Behind the Historic Shift? 1. AI-Driven Search is Rising AI-powered alternatives like Bing, which now holds approximately 8-10% of the search market, and Perplexity are challenging Google’s dominance. These platforms offer more intuitive, conversational search experiences that are attracting users looking for direct answers to complex queries—an area where Google has faced challenges in keeping pace. 2. Consumer Search Behaviors are Evolving Platforms like TikTok are shifting how people search for information. With over 3 billion daily searches globally on TikTok, younger users often turn to the platform for search queries, particularly for product reviews and how-tos, bypassing traditional search engines altogether. 3. Competitor Growth and Market Diversification Amazon’s share of the U.S. search ad market is expected to hit 22.3% this year. The e-commerce giant has increasingly become the first stop for product searches, eating into Google’s traditional role. 4. Strategic Leadership Changes at Google The recent leadership shakeup, with Prabhakar Raghavan transitioning to Chief Technologist, suggests that Google is prioritizing AI and new tech over its core search. This could indicate a shift in strategy that aligns more with competitors' AI-focused innovations. 5. Legal and Regulatory Pressures Ongoing antitrust cases and regulatory scrutiny are forcing Google to make changes to its search practices, impacting how it can maintain its market share. Meanwhile, competitors are capitalizing on these vulnerabilities, presenting alternatives that appeal to advertisers and consumers alike. Takeaway: The search landscape is changing fast. With AI search here to stay and Google facing stiff competition, are you ready to diversify and adapt your ad strategy? #DigitalMarketing #PPC #GoogleAds #AIMarketing #SearchEngineOptimization #MarketingTrends

Join Frederick Vallaeys and Navah Hopkins at #SMXLondon on the 24th and 25th of October. Fred will be keynoting on 24th October. Join him as he shares how Generative AI and GPTs can help you build tedious ad scripts, allowing you to focus on optimizing and innovating. Navah will be sharing data and tactics about PMax, and how to make the most of the campaign type in her seminar on the 25th. If you're joining us, let us know. We'd love to chat!

We're at a point where generative AI is no longer optional—it's a necessity. For companies aiming to scale and stay relevant, leveraging AI is the way forward. I shared my thoughts on this during a recent chat at PPC Townhall with Tom O'Malley. Catch the episode to hear more about how AI is reshaping business.  https://lnkd.in/gvpgdmDp #GenerativeAI #DigitalTransformation #AI #BusinessGrowth #SaaS

🚨 New tool alert 🚨 We launched our Audience Analyzer to help you confirm you're targeting the right audiences for your search and social campaigns! Rather than relying on guess work to figure out the best audience combinations, you can enter your website into our tool and we'll tell you if the audiences you're going after are the right ones. Want to make some edits to your audience to improve the score? We let you test audience settings in our tool before applying them (and marketing dollars) to the real world! All Optmyzr Core and above customers can access this through Optmyzr Labs!