LinkedIn thought leader ad examples

“𝗜’𝗺 𝗿𝗲𝗮𝗹𝗹𝘆 𝗵𝗮𝗽𝗽𝘆 𝘁𝗼 𝗯𝗲 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗘𝗺𝗯𝗿𝗼𝘀𝗮 𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺. 𝗔 𝗯𝗶𝗴 𝘀𝗵𝗼𝘂𝘁-𝗼𝘂𝘁 𝘁𝗼 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲: 𝗜 𝗮𝗹𝘄𝗮𝘆𝘀 𝗴𝗲𝘁 𝗴𝗿𝗲𝗮𝘁 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗳𝗿𝗼𝗺 𝗼𝘂𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝘀.” Thank you, Steffi — the feeling is mutual. 💙 📙 Read the customer case https://lnkd.in/eJpRhgKc In this customer case, Stephanie Blab “Steffi” shares why Embrosa has become an essential part of Rodenstock’s marketing workflow. Selling in 85 countries worldwide, Rodenstock is both B2B and B2C: and needed a platform that bridges that gap. “Embrosa offers a unique platform and service that fits exactly what we were looking for.” Through Embrosa, their marketing content reaches opticians everywhere: quickly, locally, and on brand. #EmbrosaTalks #CustomerCase #Rodenstock #TradeMarketing #LocalMarketing #BrandActivation #B2B2C

Exciting news! Epsilon Clean Room now integrates directly with Snap Inc. to make it easier for marketers to connect the dots between inspiration and action. Through our new Epsilon Clean Room integration, brands can securely connect their first-party data with Snapchat’s platform to unlock richer consumer insights, improve match rates and measure real outcomes—all while respecting privacy. Learn how early partners like Inspire are already putting these capabilities to work, showing how data collaboration can drive more personal, more effective campaigns across channels. 💬 “We can reach the right guests and understand how our campaigns are driving actual results,” said Travis Freeman, CMO at Inspire. This is how modern media should work. #CleanRoom #DigitalMedia https://lnkd.in/eGQ_A3sX

You can spend millions on marketing and still lose to a voice note that says, “you need to try this.” That’s exactly what Duel Tech's new State of Brand Advocacy report gets into; why growth is increasingly shifting away from what brands say, and towards what people say about them. So, in the spirit of that, here are the brands, products and placesthat have earned their place in my group chats, voice notes and unsolicited recommendations. 1. Sunday Riley’s CEO Glow Oil - Sedge will vouch for how much I bang on about this 2. Hello Nancy’s “Lem” - IYKYK 🍋💨 3. Symprove - daily bloating be gone 4. Urban Massage - the sheer joy of an at-home massage is unmatched 5. Trinny London's The Elevator - stroke my décolleté and believe the hype, WOW 6. Tide - their customer service is second to none 7. Le Peche Mignon - great coffee in Islington 8. Spotify - forever grateful for a Thursday morning garage daylist 9. The Standard Hotel - sexy interiors, elite spicy margs The report breaks down why traditional growth models are stalling and how the brands pulling ahead are the ones designing for advocacy, not just attention. Yes you can buy reach but you can’t buy someone putting their reputation on the line to recommend you. You can see the full report here: https://lnkd.in/eDiFvW26

If you run an e-commerce store selling industrial equipment… And your Google Ads feel stuck no matter what you try — This is probably why. Most industrial equipment webshops are set up to chase their warmest buyers only. Contractors and buyers who already know your brand. Google keeps recycling them — and your revenue plateaus. That's exactly where this client was. Industrial equipment. B2B. US market. $77K/mo → $289K/mo in conversion value. ROAS: 2.59x → 5.07x. No extra budget. No new products. Just restructuring how Google finds new buyers. Watch how we did it 👇 https://lnkd.in/eAbSMM-2

"Just let Pmax handle it." That's what Google wants you to believe. Pmax optimizes. It finds conversions. It makes the dashboard look amazing. But here's what Pmax is actually optimizing for: The easiest conversions. And who's easiest to convert? Your returning customers. People who already know you. People who were going to buy anyway. Google doesn't care if you grow. It cares if it can show you a conversion. A conversion is a conversion to Google. New or returning — they get paid either way. So you spend more. ROAS looks great. But your business isn't growing. You're not acquiring new customers. You're recycling the ones you already have. Pmax is doing exactly what it's designed to do. The question is: is that what YOU need it to do? I break down why this happens and how to fix it here: https://lnkd.in/eAbSMM-2

I didn't expect this to blow up. Yesterday i shared Yalc.ai our GTM operating system (clay alternative) powered by dozens of AI agents and today my inbox is nuts. Handful of investment inquiries. People from some of the biggest GTM teams on the planet are forking it and deploying it on top of their own stack. Someone DM'd me saying he's never felt a stronger urge to throw away every tool he's been paying for after watching the demo. And honestly we're getting the most out of it ourselves. Let me give you some context. My company Earleads crossed $1M in ARR in november. We run top 1% GTM motions for B2B companies. And we wanted more. More depth in the intelligence, more precision in the enrichment, more automation... I care about this stuff on an obsessive level. Finding the perfect intersection between ai and humans to maximize outcome quality and performance. So we built what was missing. YALC started as a funny challenge, i wanted to go after Clay. Publicly. Open source and build something my team and i would use. But it turned out the market is feeling the same frustration. Earleads is still the business, still scaling, still the priority. But now we have the infrastructure underneath it. A foundation that makes everything we deliver sharper, faster, and more intelligent. Most teams are losing in the same spot right now. They spend $500k a year on reps and tools, and nobody has mapped where those hours actually go or which playbooks would automate the busywork. That's the first thing we fix. We embed for 30 days, map your motion, and show you the exact playbooks to run plus the pipeline and time you'd get back. If we can't show you a clear path to 10% saved and a higher close rate within 6 months, you get every cent back. If you want us to map yours, let's chat: https://lnkd.in/eAkYhmPq

I'm going live the 4th at 6PM CEST to show you how to run your entire GTM from Claude Code. Pipeline, outreach, qualification, enrichment, CRM. All from a terminal. Free 60-minute session. I'm opening my terminal on screen and building live campaigns with you from scratch. Everyone who attends gets the V2 repo of YALC to clone and run the same day. Quick refresher in case you haven't seen it. YALC is the open-source GTM OS i built that helps me run my outbound/inbound motions from Claude Code. Last time >560 people registered and only 100 could attend live. So i'm running it again. Now real quick on what's new in V2: 1) Way more stable 2) Cleaner onboarding flow 3) New skills baked in 4) Automated agents triggers Oh and there's something special waiting for whoever stays till the end. If you're still duct-taping your CRM, outreach tool, and spreadsheet together by hand, this one's for you. Register here: https://luma.com/qtnj8vji ps: to those who missed it last time, check your inbox, you already received an invite :)

Há uma frase que se repete cada vez mais nas conversas que tenho com marcas grandes, e que só há pouco tempo percebi que não é força de expressão. "Já não compramos espaço publicitário ao retalhista. Compramos acesso ao cliente dele." Segundo projeções da WARC, o investimento global em retail media deve ultrapassar os 196 mil milhões de dólares em 2026. Já não é uma linha secundária no orçamento de marketing. Há leituras do mercado que apontam este ano como o momento em que o canal, sozinho, passa a concentrar mais investimento do que a soma da TV linear com a TV conectada. Durante algum tempo tratei isto como mais um canal de mídia a juntar à lista. Search, social, programática, e agora retail media. Quanto mais olho para isto, mais me parece outra coisa. Os retalhistas deixaram de vender só espaço às marcas. Passaram a vender-lhes acesso ao cliente, sem nunca lhe entregarem os dados. O dado sobre quem comprou o quê, quando, e com que frequência continua a ser do retalhista. A marca não o recebe. Paga para o usar dentro do ambiente do retalhista, para chegar exatamente àquele cliente com aquele histórico de compra, sem que essa informação alguma vez saia de lá. É basicamente a mesma lógica que a Meta e a Google já usam há anos. Vendem segmentação, nunca os dados em si. A diferença é que agora quem tem essa posição privilegiada não são só as grandes plataformas de mídia. É qualquer retalhista com dados de compra reais, first-party, organizados o suficiente para os conseguir vender como audiência fechada. Há também um sinal de maturidade a acontecer ao mesmo tempo. 2025 foi o ano em que toda a gente quis entrar em retail media. 2026 está a ser o ano em que se começa a exigir prova de incrementalidade, ou seja, provar que aquele investimento gerou venda a mais, e não apenas atribuiu a si próprio venda que ia acontecer de qualquer forma. A parte que ainda não consigo resolver é esta: se o valor todo está em ter dados de compra suficientes para vender uma audiência fechada, isso favorece diretamente quem já é grande. Os retalhistas pequenos e médios, com bases mais pequenas, ficam a competir por um lugar num jogo desenhado para quem já tem escala. Não sei se isto acaba por concentrar ainda mais poder nas mesmas cadeias que já dominam o retalho, tal como aconteceu com a Meta e a Google no digital. Ou se há espaço real para os retalhistas mais pequenos se juntarem, partilharem infraestrutura, e competirem de outra forma. Ainda não vi ninguém responder bem a isto.

Nova tecnologia (muito boa) da Google: Quantas vendas perde uma marca depois de alguém preencher um formulário? O double opt-in melhora a qualidade das bases de dados, mas cria uma fricção evidente. A pessoa inscreve-se, recebe um email e ainda precisa de abrir a mensagem e confirmar o registo. Uma parte relevante nunca o faz. A Google está agora a testar no Chrome o Email Verification Protocol, uma tecnologia que permite confirmar automaticamente que o endereço pertence ao utilizador, sem obrigá-lo a sair do site e clicar num email. O impacto para as marcas pode ser bastante concreto: Premissa: Alguns benchmarks do setor indicam que uma parte significativa dos utilizadores não conclui a confirmação do double opt-in, embora a taxa varie bastante consoante a marca, o canal e a experiência de confirmação. Num cenário com uma taxa de confirmação de 80%, por exemplo, a marca perde 20% das inscrições antes de estas entrarem efetivamente na base de dados. Estimativa: Num cenário onde uma empresa que capte 150.000 novas inscrições por ano pode perder cerca de 30.000 contactos se 20% das pessoas não concluírem a confirmação do double opt-in. Se conseguir recuperar 80% desses contactos, volta a ganhar 24.000 inscrições válidas. (hummm, confesso que não tenho dados para estimar isto, estarei a ser muito otimista?) Assumindo que a marca consegue converter 3% dessas 24.000 pessoas, isso representa 720 vendas adicionais. Com um ticket médio de 60 euros, o impacto potencial é de 43.200 euros em vendas adicionais por ano. Considerando uma recompra anual, o impacto pode chegar aos 108.000 euros. Tudo isto sem aumentar o investimento em aquisição. Apenas reduzindo a perda entre o formulário e a entrada efetiva na base de dados. Ainda está em fase experimental, mas é uma tecnologia que as plataformas de marketing devem acompanhar de perto. O que acham? Será que esta nova funcionalidade tão simples poderá ter um impacto tão grande nas vendas? Ou estarei a ser otimista demais? PS: Na E-goi, já estamos a olhar para o potencial desta funcionalidade e para a forma como poderá tornar o double opt-in praticamente automático em muitos casos. Deixo o artigo da Google nos comentários.

We’re hiring for a great role, based in either Dublin or London, working across both Distinctive BAT and Salience+. We're seeking an Insight & Research Manager to deliver Distinctive Brand Asset and Category Entry Point research (and tracking) projects for some fantastic brands across a range of industries. We work with such a wide variety of companies, including some of the most iconic brands in the world, from the likes of Spotify, Audi, Paddy Power, MARS Foods, Pizza Hut, Molson Coors, Kenvue, Canva, and Whirlpool, to name just a few. We're looking for someone with a keen interest in marketing effectiveness and solid experience in market research. Check out the job spec in the comments, or DM me for more info.

Delivering the first batch of ORCA produced content today -- I'd say we're 70% of the way there particularly looking at improving consistency of compounded components and then speed to approval. There's 14 ads in this delivery, another 30 moving through final tweaks and all-in took a total of 6-8 hours working through product tweaks and passing a senior designer's process. Next week we're aiming for a single batch of 30-45 ads (3 concepts) to take 3-4 hours. The goal is to get to 30-45 mins from concept to approval to auto-upload. We're finding that we need meaningful guardrails on the limitless nature of this kind of production and are focused on nailing 3-5 types of videos that allow for the kind of structure, volume and diversity that content operations and the algorithm requires. Getting to 80 and 90% of the way "there" will take exponentially longer and we're looking for more brands to get "there" with.

Sichtbarkeit für Dein Unternehmen fängt heute an ganz anderen Stellen an. Vor zehn Jahren war das einfach. Du suchst bei Google, klickst auf ein Ergebnis, landest auf der Seite. Klare Kette, klare Messung. Diese Kette bricht gerade auseinander. Wenn Du heute bei Claude oder ChatGPT fragst "Was ist die beste Sonnencreme für Kinder?", bekommst Du eine konkrete Antwort. Du gehst in den Drogeriemarkt, kaufst das genannte Produkt. Kein Klick, kein Website-Besuch, kein Tracking-Pixel, das feuert. Trotzdem hat die Marke gerade den Verkauf durch Onlinesichtbarkeit gewonnen, nur eben unsichtbar für jede klassische Analytics-Lösung. Wir sehen das aktuell an eigenen Zahlen: Zugriffe über AI Assistants sind in wenigen Monaten um 300 Prozent gestiegen. Klingt beeindruckend, bis man merkt, dass viele Systeme wie Claude oder Copilot uns gar nicht mitteilen, dass sie einen Besucher überhaupt vorbeigeschickt haben. Die reale Zahl liegt also vermutlich deutlich höher als das, was wir messen können. Genau das ist die neue Herausforderung: Die Optimierung für KI-Sichtbarkeit funktioniert, das lässt sich in Rankings und Nennungen belegen. Aber der Beweis über klassischen Traffic wird zunehmend unmöglich, weil die Customer Journey nicht mehr linear und nicht mehr vollständig trackbar verläuft. Für Dich als Unternehmen bedeutet das: weg von reinem Traffic-Denken, hin zu der Frage, ob Deine Marke bei den relevanten Fragen überhaupt genannt wird. Ein neues Erfolgskriterium für eine neue Suchlogik. Damit Du Dir davon selbst ein Bild machen kannst, wie Onlinesichtbarkeit in 2026 funktioniert, haben wir unter https://signal.dxm.works ein kleines Tool bereitgestellt. Es zeigt Dir, wie die neuen Systeme funktionieren, und gibt Dir für Dein Unternehmen einen ersten Hinweis auf die Sichtbarkeit. Kostenfrei und ohne Anmeldung ausprobierbar. Wer glaubt, Sichtbarkeit lasse sich 2026 noch mit denselben Kennzahlen wie 2015 messen, wird bald merken, dass ein großer Teil seines Erfolgs im Dunkeln stattfindet.

It's not perfect but we reached this level of fidelity on a multi-shot production through a single prompt. The second message did not change the video and only layered on design edits. The system, ie. ORCA allowed us to swap locations, models and products and 10x. I don't know what we're getting closer too but getting here within a couple weeks of focus has been a lot fun.

Rinnovi per le attività di PR (con aziende come Dal Negro, Serenis, Highline e molte altre), sviluppo dell'area influencer marketing (con diversi progetti attivati specialmente nei settori beverage, beauty, travel), crescita dell'ecosistema editoriale che stiamo costruendo (due podcast, newsletter, un osservatorio con una prima ricerca con un focus sulla reputazione aziendale) e consolidamento costante delle competenze: poco rumore, ma passi concreti per Disclosers e una crescita (sempre organica) che diventa la conseguenza naturale di un percorso coerente. https://lnkd.in/dhxCSqQJ #PR #agenzia

Un rinnovo per il quarto anno consecutivo. Una collaborazione che mi sta particolarmente a cuore proprio per la tematica che, nel nostro piccolo, stiamo contribuendo a divulgare. Felice della scelta di Serenis, che vuole ancora Disclosers al suo fianco per le attività di PR e Media Relations. #PR #MediaRelations #UfficioStampa

We helped Gladia 7x their sales-accepted leads (SALs) in 4 months. 90% of them came from LLMs, not Google. Gladia sell audio infrastructure to developers. About as niche and technical an audience as it gets, which is the worry every SaaS company has: can an agency actually understand our product and write for a technical audience? (engineers are allergic in to marketing) Here's what we did: (1) We audited the whole picture before changing anything → technical health (indexation, crawlability, speed), fixed by our in-house AI/ML engineers → on-page and content gaps, mapped against what buyers ask → benchmarked Gladia against competitors across ChatGPT, Claude, Perplexity and Google using our in-house tech We model each client's domain on their own first-party data (GSC, GA4, call transcripts) so we start from commercial priorities, not a generic best practice checklist. (2) We turned the diagnosis into a 90 day plan → mapped the pillars and clusters Gladia needed to own → sequenced it across 30, 60 and 90 days → ran it off a shared calendar with their in-house team so we didn't overlap Everything prioritised by impact. (3) We published content that competes on Google and LLMs This is where a niche audience worked in our favour: → narrow positioning means we can target the specific, long-tail prompts that map to how Gladia sells → we pulled real code snippets straight from their API docs, which gives the content natural information gain loved by Google and LLMs → we embedded real UGC from users that adds credibility and provides consensus on claims (LLMs need this to avoid hallucinations) → every piece structured on our CITABLE framework so a model can lift a clean answer and cite it → AI-assisted for scale, owned end to end by our editorial team with a tight feedback loop to maintain the high bar for content quality Information gain is your defence against every algo change coming. (4) We earned the off-page signals that shape AI answers → target Reddit threads and subreddits surfaced by our own AEO measurement → our FACTUAL framework keeps us feeding models the right signals so the company is being positioned well against competitors → grow share of voice on the subreddits Gladia's buyers read Four months in: 7x sales-accepted leads, 90% of them from LLMs. Brilliant team and we're only getting started! Right now AI search is the cheapest and easiest it will ever be. That edge has a shelf life 🙂 -- P.S. Want to get more customers from SEO/AEO? Hypergrowth SaaS companies like Granola, Instantly, Composio and others trust Discovered Labs as their organic search partner. If you'd like to have a quick chat with me, please go here: https://lnkd.in/eHVf23k2

AdvisoryAI's demos and closed won revenue are up 100% YoY from SEO/AEO. We've been working with them over the last several months. I caught up with Ben who runs marketing at AdvisoryAI, a pre-Series A startup building AI tools for financial advisers. One of my fav pieces of feedback from Ben: "Other agencies inside our shared Slack channel mentioned they want their communication standard to be at the same level as Discovered Labs" When we took over from their previous SEO agency, a site move had seemingly cost them nearly all their organic traffic. They ranked for very few keywords and the majority of clicks came from people already searching for AdvisoryAI by name. Here's what we changed: (1) Fixed the foundation before anything else The site had real technical issues. We ran a site audit and shipped the fixes within a day or two which almost immediately had an impact. (2) Used proprietary AI visibility measurement to build the content roadmap Everyone's using AI visibility tracker atm (or trying to vibecode one over a weekend). The problem is that many of them rely on flawed measurement methods. With our approach, we were able to get hyper-targeted on the topics we went after, helping them increase share of voice by 244% for a key topic cluster in one month. Every piece of content managed E2E by our team of editors, structured using our CITABLE framework to ensure the best chance of performing across Google and LLMs. (3) Used Reddit to influence the sources AI draws from Most people judge Reddit's value by the citations visible inside ChatGPT. We intercepted ChatGPT's retrieval traffic and found Reddit occupied roughly 27% of its search slots, despite only appearing in a small % of visible citations. So we focused on the Reddit threads already shaping the commercial prompts that mattered to AdvisoryAI, with one of our placements becoming the most-cited Reddit source LLMs are drawing from. (4) Used data to find and go after competitor gaps By July, AdvisoryAI had overtaken one of their main competitors. We were able to do this by drilling down into the specific topic clusters and model-level performance, identifying where competitors were weak, and putting together a dedicated strategy for displacing them. Ben's own words: "You guys are able to take what everybody else refers to as a black box, which is LLM search results, and make it a white box." Now, we're about to go even deeper with original thought leadership so we can create distance :) // P.S. Want to get more customers from SEO/AEO? Hypergrowth SaaS companies like Granola, Instantly, Composio and others trust Discovered Labs as their organic search partner. We don't have account managers. We're a team of AI/ML engineers, senior SEOs and editors embedded within your team and held accountable for pipeline. If you'd like to have a quick chat with me, please go here: https://lnkd.in/eHVf23k2

📉 Positiv udvikling i dansk erhvervsliv. Antallet af konkurser, i Danmark, fortsætter med at falde, og august blev faktisk den bedste augustmåned siden 2021 med 250 registrerede konkurser. Det er 11 % færre end samme måned sidste år. Ser vi på de første otte måneder af året, er konkurserne faldet med hele 20 % sammenlignet med 2025. Det tyder på, at mange virksomheder har formået at tilpasse sig et marked, der de seneste år har været præget af inflation, stigende renter og usikkerhed. Men selvom udviklingen går den rigtige vej, er det stadig vigtigt at have fokus på risiko. God kreditstyring, løbende overvågning og opdateret indsigt i kunder og samarbejdspartnere er mindst lige så relevant i fremgangstider som i modgangstider. Og lige nu ser Danmark faktisk ud til at klare sig bedre end både Sverige og Norge. https://lnkd.in/eqXCTNwS

TV ist Geldverschwendung. Du erreichst die Falschen und nichts ist steuerbar. Das höre ich ständig. Nächste Woche starten wir aber eine TV-Kampagne, die nur ganz bestimmte Menschen sehen werden. Genauer gesagt: nur Menschen, die in einem von 13 Postleitzahlengebieten in NRW wohnen und in eine bestimmte Altersgruppe fallen. Alle anderen sehen den Spot nie. Das Ganze nennt sich Addressable TV. Und so funktioniert es: Im linearen Fernsehen läuft ein ganz normaler Werbeblock. Bei Zuschauern, die zur Zielgruppe passen, wird dieser Werbeblock in Echtzeit überblendet. Sie sehen einen anderen Spot als der Rest von Deutschland. Konkret: Du wohnst in Wuppertal, dein Smart TV hängt am Internet und du schaust über lineares TV einen der großen Sender. Das System erkennt, du bist im richtigen Postleitzahlengebiet und in der richtigen Altersgruppe. Also siehst du unseren Spot mit dem Angebot für den Store in deiner Stadt. Dein Kumpel in Berlin schaut zur gleichen Zeit denselben Sender und sieht ganz normale Werbung. Ihr beide bekommt davon nichts mit. Die einzige Voraussetzung ist ein Smart TV mit Internetverbindung. Und natürlich hat das seinen Preis. Die TKPs liegen über denen klassischer TV-Werbung, weil sich die Vermarkter diese Möglichkeit bezahlen lassen. Deshalb setzen wir es auch nur dort ein, wo die Botschaft nicht für alle gedacht ist. Aber wer so ein Angebot hat, sollte mal über Addressable TV nachdenken. Habt ihr schon mal davon gehört?

I’ve been testing Astra, ChatGPT’s new model, and yes, it’s very hardworking and powerful, but be careful with the thinking level slider. I have noticed that it very quickly burns through my available credits 😅 And yes, I’m a ChatGPT Plus user. A good reminder that as AI models are become increasingly powerful, we also need to become smarter about how we use them. Not every task needs maximum reasoning power, and token consumption can add up surprisingly fast when a model keeps working on a complex task. My advice: challenge the models but use that extra power wisely. More powerful AI is great but using it efficiently is even better. #AI #ChatGPT #Astra

I've got a somewhat unusual relationship with DOJO AI: I'm a customer but also an investor. Honestly the first role is why the second one still holds up. As an angel investor, I backed DOJO because I believed that marketing teams need a system that connects brand, demand, and revenue instead of another disconnected dashboard. But conviction from the outside is easy. What's harder is using the product every day as PensionBee's CMO and having it actually earn its place in our stack. It has. Not because I'm invested in it working, but because it works https://lnkd.in/gsz4Trpc

I've said before that DOJO AI changed how our marketing team operates, but I don't think I've ever put a number on it. Before DOJO, pulling together our reporting was a manual slog — exporting spreadsheets, cross-checking numbers, navigating multiple platforms. Now it's 15x faster. Not a typo. 15x. That's not just a time-saving stat. It's hours back every week that used to go into building reports instead of acting on them. As a marketing leader at a fintech scaling as fast as Ozone API that's the difference between reacting to last month's numbers and making decisions in real time. It's still one of the tools I recommend most to other marketing leaders. If you want to find out more, DM me as I'm happy to share our learnings and check out this link: https://lnkd.in/du2eEkpb

AI is changing how people search and where they discover brands and here's the honest truth...many retailers still don’t realise how much visibility they’ve already lost! We’ve been conducting our AI Visibility Audit for a number of eCommerce brands and the results are pretty wild. Some sites dominate Google rankings but barely exist inside LLMs and AI overviews. Others are already winning because years of solid SEO practice are finally paying off. ✨I REPEAT, years of solid SEO PRACTICE are finally paying off. ✨ This is what modern organic search looks like. Not just chasing rankings, but understanding how your products show up in the places customers are actually searching, whether that be search engines, social media, online communities, LLMs and more. I'm featured on the latest episode of the eCom@One podcast with Richard Hill to unpack all of this - AI overviews, the future of online search and what’s really working for brands right now. If you want to know where your brand stands before your competitors do, drop me a message, or click the link below. 😎 I’ll walk you through what an AI Visibility Audit can reveal. #SEO #Search #eCommerce #AIVisibility

#clienting - Fui até a cidade de Elói Mendes conhecer a broa molhada e uma marca de varejo com coragem para fazer diferente. Existe a crença limitante de que CRM não gera resultado de curto prazo no segmento de Móveis e Eletrodomésticos. Mas as Lojas Edmil provaram o contrário. Com apenas 7 meses de implementação, eles já alcançaram os seguintes resultados: 🟢 54% de taxa de recompra 🟢 21% de receita influenciada pelo CRM 🟢 15% de crescimento do gasto médio anual por cliente 🟢 11% de incremento no ticket médio. Com esses números, a marca protagoniza a mais recente história de sucesso da Dito CRM. Para corroborar, olha o que o Gerente de Marketing, Adauto Patrício, falou sobre a nossa parceria: “A Dito proporcionou para nós, uma melhor análise e gerenciamento das interações com nossos clientes atuais, potenciais e antigos, personalizando o relacionamento e otimizando a comunicação. Desta forma conseguimos oferecer o produto certo, para o cliente certo e na hora certa, impulsionando as vendas”. Parabéns para todo o time das Lojas Edmil: Dulce Lene Valias, Eduardo Xavier, Tarcila Coimbra, Rafael Froes Maximo, Tulio Cardoso, Maycon Stones Carvalho. E parabéns para a equipe da Dito que está guiando a estratégia, principalmente Andreza Reis, Caroline N., Mayra H.. A foto aqui do post não foi publicada por engano. É da Padaria Avenida, em Elói Mendes, quando visitei a sede da Edmil. Lá eu conheci a diferença entre a broa seca e a broa molhada. Quem sabe?