INSIGHTS FROM EXPERTS ON LINKEDIN
Ali Yildirim
explains how to structure Reddit ads using brand, non-brand, and competitor keyword campaigns, similar to Google Ads. He highlights that Reddit intent is strong when targeting real conversations, but creatives need to feel native to the platform. Done right, it can drive high-quality traffic at lower costs.
Tas Bober argues that customer journey mapping often fails because buyers don’t follow predictable paths or timelines. She suggests focusing instead on what buyers need internally to justify a purchase. Clear, practical information can help move deals forward more effectively.
Peep Laja points out that most B2B companies still hide pricing due to competition, complexity, or discounting habits. He explains that this creates friction and slows down decision-making, while transparent pricing helps buyers qualify faster. It also reflects how confident a company is in its positioning and value.
Jon Miller explains how OpenAI is focusing on brand-driven ads while Google leans into direct response offers in AI experiences. He argues that conversational AI environments are better suited for brand building than click-driven tactics. This also creates a challenge for B2B teams that rely heavily on traditional attribution models.
Liam Moroney highlights how product interfaces act as key brand assets in SaaS, similar to packaging in consumer goods. If AI reduces the need to use product UIs, brands lose a major touchpoint for visibility and recall. This makes building distinctive brand assets even more important.
Veronika Vēbere 
shares how SaaS growth has become harder as competition increases and switching costs drop. She explains that tactics change quickly, but core questions around positioning, audience, and messaging remain critical. Without clear answers to those, no channel or tool will drive results.
Anthony Pierri takes a sarcastic view on AI design tools replacing platforms like Figma. He points out issues like high costs, limited control, and poor adherence to brand guidelines. His take highlights the gap between the hype and how these tools actually perform in real workflows.
Daniel Pirciu shows how LinkedIn’s company targeting can be misleading, pulling in thousands of irrelevant profiles instead of a specific company. He explains that using matched audience lists is a more accurate way to target the right people. Better data and enrichment tools can significantly improve results.
Kirill Vdov shares how a past LinkedIn feature allowed highly precise audience targeting by exporting Sales Navigator lists into ads. The results were significantly better, with higher CTR and lower costs. He suggests the feature may have been removed because it reduced wasted ad spend.
WHAT'S NEW IN THE INDUSTRY
LinkedIn is changing how content gets distributed, putting more weight on signals like saves and actual expertise in posts. The algorithm now evaluates what you write, especially in the opening lines, and rewards consistent, focused content. Marketers who adapt early can gain more reach while others still rely on outdated tactics.
HubSpot’s March updates are all about making automation, data, and workflows easier to manage and customize. Teams get better control over timing, reporting, and CRM structure, along with new features like send-time optimization and meeting-based workflows. The changes aim to reduce manual work and make day-to-day operations smoother.
Google is updating budget pacing so campaigns aim to spend the full monthly budget, even if ads only run on certain days. This means campaigns with limited schedules may spend more aggressively on active days. Advertisers may need to adjust budgets and expectations as spend becomes less evenly distributed.
OpenAI is testing a new Ads Manager for ChatGPT, giving advertisers real-time control over campaigns instead of basic reporting. Early signs show more ad inventory appearing, with brands already testing placements inside the platform. It points to ChatGPT evolving into a more scalable ad platform, though targeting and measurement still need work.
Google introduced App Consent Insights in Google Ads, helping advertisers see how user consent affects performance across apps and regions. The tool shows consent ratings and highlights gaps that may limit data and optimization. As privacy rules tighten, consent is becoming a key performance factor, not just a compliance step.
Google is experimenting with video ads inside the local pack, bringing more visual formats into high-intent, location-based searches. These ads could help businesses stand out more than traditional listings, but they also raise the need for video content. The feature is still in early testing, with unclear rollout and performance impact.
Microsoft rolled out AI Max and a set of new ad tools built for a world where AI agents drive discovery and purchases. Features like AI-powered audience creation, Copilot checkout, and visibility insights aim to help brands show up inside AI-driven decisions, not just search results. It signals a shift from optimizing for clicks to being selected by AI systems.
Google introduced new AI features in Ads Advisor that automatically handle policy fixes, monitor account security, and speed up certifications. The system now works proactively in the background, flagging issues and resolving them before they impact campaigns. It’s part of a push to reduce manual work and make campaign management faster and more secure.
That’s the scoop for this week! If you found this valuable and any useful insights caught your eye, feel free to share them with your network.
Until next week!
