LinkedIn thought leader ad examples

Catalog Ads have always been a f_cking pain in the ass.. But with this, you can design them in any way you want.. in literally... like, 40 seconds 🫪 🫪 🫪 🫪 If you really believe in creative differentiation and catalog ads and ai this is for you 💅 And it's one of the many neat features that's available to all Confect.io users, right now 💜 Try it right here: https://lnkd.in/ePXMdq_B

Over the past 3 months, we at oui oui creative studio have been managing and optimizing hummel Catalog Ads setup using Confect, while also incorporating our own creative designs into the ads. A big focus has been making the Catalog Ads feel like an actual extension of the brand and current campaigns, instead of just repeating plain product images. We’ve built a setup where every product automatically gets the right creative treatment based on: • Product type • Sale status • Active campaign • Club Hummel membership pricing That creative layer has played a significant role in the results we’re seeing. YoY results: → +93% increase in ROAS → -54% lower Cost Per Purchase → +85% higher Conversion Rate A strong reminder that Catalog Ads don’t have to look generic to scale efficiently. Full case here: https://lnkd.in/e-CUNAsb

I turned 1 winning ad → 50 variations in minutes for BLACK FRIDAY. Last year was a wake-up call: → Weeks of briefs, casting and shoots → Editors stuck on resizes and subtitles → A handful of creatives, launched late, barely tested This year, I wanted two things: more creatives to test, and more time to test them. So I uploaded my winning ad to an AI creative tool. Same product. Same proven angle. But this time: → Different AI actors, ages and skin tones → New hooks → Multiple languages and formats 50 creatives, ready to launch. All built from an ad I already knew converted. Now I’m testing them on Meta and scaling the winners before BFCM hits. I’m offering FREE demos until the end of October. Don’t wait until November to start testing 🔥

Luxury talks endlessly about clienteling, private appointments and “the experience”. Yet in many boutiques, the training is still about the object, not the person in front of it. Hospitality has worked that muscle for decades: anticipating, reading the room, turning a transaction into a relationship. The reverse is true too. Hospitality can learn from luxury how to build a brand people want to belong to, and a career path to match. 76% of the alumni we surveyed say their employer has enhanced their profile. Only 55% see a clear path up. That’s what we explored in the Luxury & Hospitality Career Index, which my DLG (Digital Luxury Group) colleague Dominic Weir developped with Anouck Weiss, Christophe Julliard, and the Glion Institute of Higher Education and Les Roches teams. The talent already moves between the two industries. But when we asked alumni where they most want to work, 65% of mentions went to hotel groups. Luxury houses got 8%. Are luxury maisons ready to hire the people who already live by the highest hospitality standards? Right now, maisons are barely on their radar.

nobody tells you how good it feels to be a beginner again when you’re already deep into your career ☁️ ⋆˚ ad I went back to school with Optimizely, the AI platform for marketing, at their Marketing University bootcamp, where we spent the day building a working AI agent from scratch on their Agent Platform. I built a web page optimisation agent that reviews a page and suggests what to change while the copy stays mine, which for a team of two at PLM means we can take on so much more ourselves (yay !!!) if there’s something you’ve been putting off learning, this is your sign to go back to school too, and Optimizely’s AI marketing course is a really good place to start: https://lnkd.in/eM3jh8_4 #OptimizelyPartner

Dieser PR Mythos wird im KI Zeitalter richtig teuer... „Bad PR is good PR?" Ein Shitstorm bringt dir Reichweite, aber er kostet dich das, worum es in PR eigentlich geht: Vertrauen. Und das ist gerade dabei, zur wichtigsten Währung überhaupt zu werden. Auch mit Blick darauf wie KI über dich spricht. Warum, erkläre ich bei Tim Rath im Revenue Marketing Realtalk. Ganze Folge in den Kommentaren 👇

I've been thinking about trust in cybersecurity recently given that 95% of organisations report that they don't fully trust their cybersecurity vendors. Much of the industry's marketing has historically been built around a simple premise: if buyers better understand the risks they face, they'll be more likely to act. But as the market matures, I wonder whether that approach is becoming less effective as a source of differentiation. Walk the halls of Black Hat or Infosecurity and you'll see countless variations of the same story. Similar messaging, identities and narratives about threats, breaches and what's at stake. This tendency becomes particularly visible around Halloween, when many cyber brands embrace horror-themed creative. There's nothing inherently wrong with that, but it does raise an interesting question: if every brand is building urgency through fear, what actually creates differentiation? The recent reaction to the PHP vulnerabilities offers an interesting example. A flaw that reportedly existed in PHP for years has been thrust into the spotlight after AI-assisted research helped uncover it, prompting headlines about internet-scale risk and disruption. While the threat is real and organisations should act accordingly, the speed with which the conversation shifted towards worst-case scenarios highlights just how instinctively our industry still gravitates towards fear. At a time when buyers are becoming more sceptical and more rigorous in how they evaluate vendors, trust is emerging as a far more important factor in decision-making than many organisations realise. The companies building momentum are often the ones investing in customer advocacy, visible experts, transparent communications and evidence that supports their claims. In other words, they are making it easier for buyers to believe them. As competition intensifies, I suspect we'll see an increasing gap between organisations that compete on fear and those that compete on credibility, and for CMOs that's an interesting challenge. If everyone in the market can communicate risk, what are you doing to build trust? There are some interesting perspectives from marketing leaders in our Cyber Trust Report and I would seriously recommend a read: https://bit.ly/4wq7UWT

🏟️ Come trasformare l'emozione dello sport in risultati concreti per il brand? Scoprilo durante il nostro workshop The Power of the Moment: from Stadium to Business, di Incubeta insieme a Fanatics. Partendo dal caso Fanatics, esploreremo come moment marketing, DOOH e attivazioni in tempo reale possano creare nuove opportunità di business e come misurarne l'impatto effettivo su visite e vendite. Vi aspettiamo! 📅 28 ottobre | h 15:45, 📍 Sala Amber 2 👉 Registrati qui >> https://hubs.la/Q04BS4ZD0 #Intersections2026 #Incubeta #Fanatics #MomentMarketing #Measurement #Outcomes

🏟️ Come trasformare l'emozione dello sport in risultati concreti per il brand? Scoprilo durante il nostro workshop The Power of the Moment: from Stadium to Business, di Incubeta insieme a Fanatics. Partendo dal caso Fanatics, esploreremo come moment marketing, DOOH e attivazioni in tempo reale possano creare nuove opportunità di business e come misurarne l'impatto effettivo su visite e vendite. Vi aspettiamo! 📅 28 ottobre | h 15:45, 📍 Sala Amber 2 👉 Registrati qui >> https://hubs.la/Q04BS4ZD0 #Intersections2026 #Incubeta #Fanatics #Measurement #Outcomes

Shout out to DemandSense for the new LinkedIn Ads Attribution Views It's called Account Journeys. Every company that interacts with your LinkedIn Ads, your website, or your pipeline. Laid out on a timeline. Month by month. You can see when a company first saw an ad. When they clicked. When they hit the website. When a proposal was sent. When the deal closed or didn't. One account in here had 9 touchpoints over 4 months before the deal closed. Another had 7 touchpoints and is still progressing. That context changes everything about how you evaluate LinkedIn Ads. Because the campaign dashboard only shows you what happened today. It doesn't show you that a company first engaged in December, went quiet in January, came back in February through a different campaign, and is now sitting in your pipeline in March. Most advertisers look at last month's results in isolation and decide what's working. But B2B deals take 3-6 months. If you're only looking at a 30-day window, you're making decisions based on incomplete data. This is what we mean by demand intelligence. Not just knowing someone clicked. Knowing the full arc of how a company moved from stranger to pipeline to revenue. We use this across every client account we manage. It's one of the reasons we can have honest conversations about what's actually working vs. what just looks good in a dashboard. If you're running LinkedIn Ads for B2B and you've never seen your data this way, it's worth exploring. DemandSense has a free tier - https://lnkd.in/gnqjNNve..

𝗟𝗮𝗱 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗯𝗿𝘂𝗴𝗲 𝗱𝗶𝗻 𝗯𝗶𝗹𝗹𝗲𝘁𝗱𝗮𝘁𝗮 Dit billetsystem ved allerede en masse. Får marketing også glæde af det? Hvilke oplevelser vælger gæsterne? Hvilke billettyper køber de? Og hvad skal de høre fra dig næste gang? Med Heyloyaltys billetintegrationer bliver den viden udgangspunktet for din gæstekommunikation. For et spillested, en attraktion eller et museum er et tidligere besøg grunden til at sende en invitation, der passer til gæsten. Vi viser dig, hvordan billetdata kommer på arbejde mellem oplevelserne.

Here's how I'm thinking about SEO + AI visibility in 2026 and 2027 and why we've partnered with the best in the biz Sam Dunning and team at Breaking B2B. First off, AEO and SEO are not all that different. All the talk about SEO being dead is garbage...and Google ads isn't dead either but the game has changed. The way pages are read and indexed and the way B2B buyers are doing research mode has changed dramatically. Here's 3 reasons/logic I came to. 1. There are less clicks in the google world in general due to AI overviews and LLMs. More people getting their answers from AI means less clicks for SEO and Google ads which means much higher competition and more need for connected strategies. It's important to build the foundation for both SEO and AEO and connect it to something bigger so that you get max ROI from your efforts. 2. Focus on the money keywords - this is something Sam has been preaching for years and one of the main reasons I appreciate his approach and why it aligns with my views. My top advice to business owners and marketers is always to start with warmest audiences and highest intent. This is why I love paid search, SEO, and AEO..there are people out there searching for exactly what you offer and asking the types of questions that identify themselves as ripe in-market prospects which is 10x better than almost any signal/intent created account list or native platform targeting. 3. We honestly are tripling down on SEO/AEO - we are building internally for blog creation, page optimization and wider distribution of our thought leadership efforts publishing content accross LInkedin, newsletters, blogs, youtube and more...all of these help feed into rankings and authority. There is only so much capacity and expertise most teams have in-house so it's a great idea even if you think you have it "handled" to get with real experts in the area to ensure you're really laying the right foundations that will compound. Just getting started but will be looping back to show progress/results as we go. Highly recommend the team at Breaking B2B if you're feeling like you might not be doing enough here.

HeliosX Group got only 48 hours' notice to launch generic GLP-1s in Canada. They didn't have time for a new study. But they didn't panic. A few months earlier they'd run one with us on something completely different, and they'd asked Canadians about generics in it. So they went back to those interviews. Turns out Canadians hear "cheap" as "worth less." They went with "more affordable," and customers trusted it straight away. That same study has now settled three decisions, and it's how new colleagues get up to speed on Canada. They keep going back to it, time and time again. You run the research once and it keeps answering new questions months later.

📈 Nearly 2X more iOS app installs and 3X more purchase events. That is the average boost our advertisers are seeing simply by fixing their reporting blind spots for their iOS App campaigns. We teamed up with Google to make this happen by partnering on their latest app ads attribution solution: Integrated Conversion Measurement. For a long time, truly understanding your App campaign results on iOS has felt like bidding in the dark. This integration changes that, piping more accurate, near real-time insights directly into your AppsFlyer dashboard so you can finally stop guessing and start growing. Stop leaving your iOS app growth on the table. Grab the playbook in Google’s new guide: bit.ly/4zFpIyb

18+ million members. Weekly personalized offers. Days of manual campaign production turned into just a few hours. That is the power of MoEngage’s Merlin AI custom agents in action at Loblaw Digital. 🚀 Cut build and QA time by over 60% 🤖 Automated draft assembly and multi-profile quality checks 🎯 Unlocked capacity for deeper creative strategy and true 1:1 personalization Hear straight from Charumitra P. (SVP, AI & Engineering), Megan Kwon (Director, Digital Customer Communications), and Tessa Chin (Senior Manager, Digital Messaging) on how they built a faster, smarter MarTech pipeline. 👇 Watch the full story in the video below.

The account journey = a mix of the individual buyer journeys. Yet our industry still builds account lists, ignoring where the buying group members are in their journey. The standard process: - Define firmographics ICP criteria - Select the biggest accounts - Pick up to 2-3 senior decision makers - Set up a personalized outbound cadence + marketing air cover (in the best case scenario) Companies invest tons of money into outbound stack without even questioning why it’s not working. Imagine yout are selling (like ourselves) ABM consulting to large cybersecurity enterprises: 1k-5k employees, >$1b annual revenue (step 1). If you continue applying a standard process, you’ll definitely pick up companies like Fortinet, CrowdStrike, Cloudflare, etc. Step 2: identify senior B2B marketing leaders. E.g. Crowdstrike CMO's - Jennifer Johnson, Cloudflare's CMO - Jeffrey Samuels. Step 3: You’d run an outbound cadence with a narrative like: «Not sure if ABM is on your radar, but we help CMOs of enterprise cybersecurity companies generate enterprise pipeline with ABM. We helped companies like A, B, and C. Worth a call?» You get the idea. I could personalize it even further, but here is the problem - neither of people I’ve mentioned know our company, and I have no idea if they are shopping for ABM consulting now. Doesn’t matter how deeply I’d personalize further, I doubt they will ever reply back to me (correct me if I’m wrong :)). I always flip the account list building process. Instead of looking at the biggest logos, we start with our CRM and marketing stack. I look if we have any engaged buying committee members who work for ICP accounts. Then, prioritize them by: - Level of engagement and relationship - Product need evidence - Buyer journey stage Applying this process to our business, I can see that we have 11 engaged buyers from Eset. 6 of them attended our full-funnel summit. 1 - attended our in-person workshop, 2 - attended a recent webinar «ABM as operating system». Each of them has different brand familiarity. Each of them runs a different function and has different KPIs. But what unites them is that they know us and work on building a strong enterprise pipeline generation program. It doesn’t necessarily mean that I should reach out and try to sell. But it means that if I: - focus on this account - try to understand where these buyers are in their journey - engage with them and figure out what help they need now I’d be more likely to have a good conversation and open the doors with them. --- On 5th Nov my friends Influ2 host a webinar to show the exact process of identifying engaged buyers from your strategic accounts that are not covered by sales yet. Then, how to understand where they are in their buyer journey and what would be the best playbook to engage them. Register here: https://lnkd.in/euRqQWkP

“Meine Reichweite ist eingebrochen…” Wir haben 8.000+ Beiträge aus 4 Jahren Agentur analysiert. Damit bringen wir neue Kunden im Schnitt auf 220.000+ (relevante) Impressions im ersten Monat (selbst bei wenig Followern). Wenn deine Posts 2026 kaum noch Impressions bekommen, liegt es nicht am Algorithmus. Sondern an einem dieser 4 Fehler: - Deine Hook verliert nach 0,4 Sekunden die Aufmerksamkeit - Deine Texte-Muster schaffen kein Vertrauen bei deiner Zielgruppe - Deine Bilder sind nur Beiwerk und kein Scroll-Stopper - Deine Beiträge klingen wie von ChatGPT In meiner 5-teiligen Masterclass (inkl. PDF-Version für Vielbeschäftigte) schenke ich dir nun alle Frameworks, Vorlagen und Prompts zum Kopieren. Willst du den Zugang? Ich schick ihn dir kostenlos: https://lnkd.in/ezr_WrKi (es öffnet sich automatisch dein Postfach)

𝗧𝗵𝗲 𝗟𝘂𝘅𝘂𝗿𝘆 𝗦𝗼𝗰𝗶𝗲𝘁𝘆 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗦𝗲𝗮𝘀𝗼𝗻 𝟰 – 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝟯 𝗶𝘀 𝗹𝗶𝘃𝗲 🔥 José Gaztelu, CEO of Chrono24, joins Robin Swithinbank and I to unpack why the secondary market has become the place where watches are discovered, compared, bought and sold, and why brands are watching it more closely than ever. “𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐚𝐫 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐛𝐫𝐚𝐧𝐝𝐬 𝐢𝐬 𝐭𝐡𝐚𝐭 𝐭𝐡𝐞𝐢𝐫 𝐭𝐫𝐚𝐝𝐢𝐧𝐠 𝐯𝐚𝐥𝐮𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐬𝐞𝐜𝐨𝐧𝐝𝐚𝐫𝐲 𝐦𝐚𝐫𝐤𝐞𝐭 𝐢𝐬 𝐚 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐢𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞𝐢𝐫 𝐛𝐫𝐚𝐧𝐝 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡.” For José, resale prices have become a health check that brands follow daily. But he believes the bigger opportunity is still untapped: reading secondary market data to understand where demand is heading, down to which archive pieces deserve a reedition. In this episode, we also cover: → How Chrono24 builds trust at scale, from dealer vetting to escrow and certification → Brand certified pre-owned programmes: threat or expansion of the market? → Will AI agents buy our next watch, and can AI become a tastemaker? → Why José sees no cap on where the secondary market can go 🎧 Available now on all major podcast platforms (link in comment) In partnership with Chrono24 Produced by Juliet Fallowfield at Fallow, Field & Mason

Wir haben dieses Jahr schon $311.000 Gratis Adspend an unsere Kunden verteilt! $311.000, mit denen unsere Brands neue Kampagnen testen und neue Kunden gewinnen können. Als gemeinsames Invest mit uns als Growth-Partner. Und es macht mich verdammt stolz, dass wir für dieses Guthaben mit Google kooperieren dürfen. Denn dahinter stehen Jahre, in denen wir uns als Google Premier Partner dieses Standing erarbeitet haben. Mit starken Ergebnissen für unsere Kunden und dem Early-Adopter-Mindset, bei neuen Kampagnentypen früh dabei zu sein. Immer im engen Austausch mit Google. Und davon sollen unsere Kunden profitieren. Mit dem zusätzlichen Budget können wir neue Wege mit Demand Gen und YouTube Ads gehen. Die Wege ausprobieren, für die sonst vielleicht das Testbudget gefehlt hätte. Genau solche Möglichkeiten wollen wir unseren Brands eröffnen. Und wir werden alles dafür geben, in den nächsten Jahren noch mehr für sie rauszuholen!

Diese US-Brand verkauft ganz normales Olivenöl. Das gleiche, das du bei Rewe im Regal findest. Und ist dank einer simplen Idee trotzdem $240 Mio. wert. 🤯 Die Rede ist von Graza. 2022 gestartet. Sie verkaufen spanisches Olivenöl. Nichts Besonderes, gab es vorher schon so im Supermarkt. Aber sie haben einen entscheidenden Twist gemacht: Sie füllen es nicht in die klassische grüne Glasflasche, die wir alle kennen. Sondern in eine Plastik-Quetschflasche. Und bieten zwei Sorten an: „Sizzle" zum Kochen, „Drizzle" zum Verfeinern. Gleiches Öl, andere Flasche = Ein neuer Use Case. Das Ergebnis: $48 Mio. Umsatz in Jahr 3. Und bewertet werden sie mit $240 Mio. Geschafft haben sie all das mit gerade einmal $3 Mio. Funding. Mit einem Produkt, das jeder Discounter im Regal stehen hat. Und genau da liegt der Punkt, den viele Ecom Founder meiner Erfahrung nach nicht sehen wollen. Sie alle haben den Glaubenssatz: „Ich muss es im Marketing reißen. Ich brauche bessere Ads." Dabei ist ihr Produkt eine Commodity. Sie sind völlig austauschbar. Graza ist ebenfalls mit einer Commodity gestartet. Sie haben aber ein neues Format mit einem echten Benefit (dosiert > Glasflasche) geschaffen und waren damit die Ersten in ihrer Nische. Fällt euch noch eine Brand ein, die das geschafft hat?

Und plötzlich sitze ich da in einem Reisebus voller Leute auf dem Weg zu unserer Workation. Knapp 40 Menschen aus unserem Team sind angereist, um genau zu sein. Ich schaue mich um und denke mir nur: Wie crazy ist das bitte? Den Rest des Jahres arbeitet unser gesamtes Team remote. Verteilt über ganz Deutschland und teilweise sogar mehrere Länder. Und dann kommen plötzlich alle an einem Ort zusammen. So viele unterschiedliche Menschen, die gemeinsam an einer Mission arbeiten: Beilmann zur besten Full Funnel Google Ads Agency in DACH zu machen. Das macht mich verdammt stolz. Und die Energie an diesen gemeinsamen Tagen ist jedes Mal etwas ganz Besonderes. Gestern hatten wir schon unser All Hands Meeting mit den Jahreszielen der Company UND die legendäre Beilmann-Olympiade. Heute folgt der Performance-Coaching-Workshop, morgen kommt eine Fotografin und dazwischen gibt's jede Menge Workshops. Und das alles in einer Finca, die so schön angelegt und so groß ist, dass man sich darin ernsthaft verläuft. Einfach ein hammer Gefühl. Vielen Dank an jede und jeden Einzelnen aus der Beilmann Crew!

Was und wie viel sollte man bei Meta Ads eigentlich testen? Kaum eine Frage wurde uns in den letzten 10 Jahren so häufig gestellt, wie diese. Sie ist ein echter Dauerbrenner. Und ich verstehe sie total, denn im Ads Manager stehst du vor tausend Türen. Du kannst nahezu alles testen. Egal ob Budgetlogik, Zielgruppen, Gebotsstrategien, Buttons oder Formaten. Genau das wird bei vielen etablierten Marken aber zum Problem. Weil zwei Dinge nicht unendlich sind: Eure Zeit und euer Budget. Wenn ihr beides überall gleichmäßig verteilt, passiert am Ende fast nichts. Wir unterscheiden deshalb zwischen sogenannten High und Low Value Tests. Wenig bis kaum Hebel haben nach unserer Erfahrung fast immer: – Kampagnenbudget (CBO) vs. Anzeigengruppenbudget (ABO) – Unterschiedliche Interessen in mehreren Anzeigengruppen – verschiedene Quellen für Lookalike Audiences – Split Tests von unterschiedlichen Textelementen oder CTA Buttons – und Gebotsstrategien Einen hohen Impact haben dagegen potenziell folgende Tests: – Produkt & Offer – neue Anzeigenstrategien und Value Propositions – neue Formate wie UGCs, High-Quality-Videos, Statics, usw. – Account-Konsolidierung – Landingpages/ Website Konzentriert euch immer zuerst auf die High-Impact-Tests. Sind hier alle Potenziale ausgereizt, könnt ihr euch immer noch den sogenannten Low-Value-Tests zuwenden. Oder wie sind eure Erfahrungen im Testing?

NEU: Meta bewertet jetzt eure Creative Diversity. Der „Creative Diversity Score“ ist in den ersten unserer Ad Accounts aufgetaucht. Diese neue Metrik bewertet, wie vielfältig der Creative-Mix innerhalb eurer Kampagnen ist. Aktuell scheint Meta dabei vor allem technische Unterschiede zu berücksichtigen: Nutzt ihr beispielsweise Image, Video und Partnership Ads – oder immer wieder das gleiche Format? Spannend finde ich auch, dass der Score nicht nur für einzelne Anzeigengruppen angezeigt wird, sondern auch auf Kampagnenebene. Heißt: Anzeigengruppe A kann kaum divers sein. Wenn B und C aber völlig andere Creatives enthalten, kann die gesamte Kampagne trotzdem einen hohen Score erreichen. Das stellt die übliche Testing-Logik infrage. Bisher geben wir neuen Anzeigengruppen häufig ein fixes Budget. Damit setzen wir dem System harte Leitplanken: Meta kann das Budget nicht frei zwischen unterschiedlichen Creative-Ansätzen verteilen. Die Metrik deutet für mich deshalb darauf hin, dass wir Testing künftig stärker mit Kampagnenbudget denken werden. Noch ist das natürlich aber nur eine These und den Score würde ich aktuell nicht überbewerten. Langfristig dürfte Meta hier sicherlich aber auch Botschaften, visuelle Inhalte und psychologische Motivatoren eurer Ads bewerten. Was haltet ihr davon?

As we head into the ecom olympics.. I'm testing Vibe.co to find net new customers with Paid Social level targeting, on TV. No minimums, no contracts, full measurement built in. If you're a marketer or growth lead planning your Q4 push, this is worth a look. Vibe.co