Name: Productivity Conf - Practical AI in Marketing
Start: 2024-12-05T14:30:00.000Z
End: 2024-12-05T19:30:00.000Z

Cómo potenciar tu construcción de automatización sin código y reducir el tiempo de construcción con las últimas características y funcionalidades de IA de Zapier. También cubriré herramientas de IA que se integran nativamente con Zapier para llevar la productividad a un nivel completamente nuevo. Horario y ubicación de la masterclass: por determinar, remoto vía Zoom

Utilizando las Capacidades de IA Integradas de Zapier y las Integraciones de Herramientas de IA

I am Kelly Goss, an automation consultant from Solver. We help businesses worldwide become more productive with no-code tools like Zapier and generative AI. Zapier is a connector tool that integrates with thousands of apps and provides built-in tools for non-coders. It allows you to automate tasks and build workflows. The free plan offers limited tasks and automations, while higher-tier plans provide more features. Zapier offers tables functionality, form interfaces, AI features like chatbots and Zapier Agents, and a whiteboard tool called Zapier Canvas. You can build zaps with triggers and actions, use the AI prompt feature, configure automations with mapping and Copilot, create automations from workflow diagrams, and utilize Zapier's built-in tools and apps. Advanced features include delays, AI code generation, scheduling, error handling, and integration with AI tools like Synthesia. Solver offers free resources and support for Zapier users.

How to supercharge your no-code automation building and reduce build time with Zapier's latest AI features and functionality. I'll also cover AI tools that natively integrate with Zapier to bring a whole new level to productivity. Workshop schedule &amp; location- tbd, remote via Zoom

Utilising Zapier's Built-in AI Capabilities and AI Tool Integrations

Kelly Goss

En Soft Skills Lab estamos utilizando prompts en nuestros casos de consultoría mucho. Esto podría ser una experiencia interesante para los usuarios ya que compartiremos nuestro marco propietario para la preparación de negociaciones, así como algunos trucos sobre cómo usar ChatGPT en este escenario. Las negociaciones para las que pueden prepararse pueden ser un caso muy familiar para ellos, como negociar su salario/bonificación o hacer cambios en su departamento y pedir financiamiento para eso; negociar con un cliente sobre el alcance de un proyecto (no necesariamente el precio) o persuadir a un miembro del equipo para asumir algunas nuevas responsabilidades. En la masterclass, usted:  - aprenderá un enfoque sistemático sobre cómo usar ChatGPT con diferentes tipos de marcos- probará una nueva forma de prepararse para la preparación de negociaciones con nuestro marco propietario

Cómo Prepararse Para Sus Negociaciones Con la Ayuda de ChatGPT

Today's workshop focused on how ChatGPT can assist with negotiation preparation. Soft Skills Labs has developed a framework to help prepare for negotiations, emphasizing the importance of preparation even for seemingly unimportant negotiations. The workshop discussed a case study involving a student who declined a promotion but later wanted it, leading to a new manager being hired. The importance of considering other perspectives, layers, and ethical and cultural differences in negotiations was highlighted. Topics for negotiation were discussed, including decision-making authority, resource allocation, and legal considerations. Understanding root problems, setting goals, and finding common ground were emphasized. The workshop also touched on the importance of understanding motivations, refusing and dealing with consequences, and preparing for difficult conversations. Effective communication with ChatGPT was also highlighted.

In Soft Skills Lab we're using prompts in our consulting cases a lot. This might be an interesting experience for the users since we'll share our proprietary framework for negotiation preparation as well as some hacks on how to use ChatGPT in this scenario. Negotiations they can prepare for can be a case very familiar to them, like negotiating their salary/bonus or making changes in their department and asking funding for that; negotiating with a client on a scope of a project (not necessarily the price) or persuading a team member to take on some new responsibilities. At the workshop, you will:  - learn a systematic approach on how to use ChatGPT with different kinds of frameworks- try out a new way to prepare for negotiation preparation with our proprietary framework

How to Prepare For Your Negotiations With the Help of ChatGPT

Alexandra Klimenko

¿Alguna vez te has sentido atrapado en el medio, tratando de cerrar la brecha entre equipos técnicos y no técnicos?No estás solo. Cuando los ingenieros comparten sus brillantes ideas, a veces puede parecer que falta una capa de traducción. Mientras tanto, tu equipo no técnico busca en ti claridad.Esta charla trata sobre cerrar esa brecha: aprovechar las herramientas de IA para convertir la complejidad en simplicidad, de modo que todos estén en la misma página y la colaboración fluya sin problemas. Esto es lo que cubriremos:- Simplificar el lenguaje técnico con Custom GPTs: Usa IA para destilar conversaciones largas en resúmenes claros y accionables, adaptados a lo que tu equipo realmente necesita saber.- Convertir el desorden en claridad con mi navegador favorito potenciado por IA, Arc: Organiza ideas complejas en ideas digeribles, ahorrándote tiempo mientras mantienes la colaboración fluida y productiva.- Agilizar reuniones con mi herramienta favorita de toma de notas potenciada por IA, Reflect: Captura los puntos clave sin esfuerzo y crea resúmenes concisos sobre los que todos puedan actuar. No importa tu rol, te irás con formas prácticas de hacer que la comunicación entre equipos sea más rápida, clara y efectiva. ¡Nos vemos allí!

Más Allá del Ruido: Aprovechando la IA en la Comunicación y Colaboración Interfuncional

The Talk focuses on using AI tools for seamless collaboration across teams. AI serves as a translator between different teams, helping to overcome language barriers and jargon. Chat GPT prompts are used for effective communication and task tracking. Custom prompts are saved for mid-conversation use. Powerful tools like Chachi Petit and Arc Browser enhance quick communication and collaboration. Reflect generates AI-generated summaries and action items for messages, aiding in organization and prioritization.

Ever feel like you’re caught in the middle, trying to bridge the gap between technical and non-technical teams?You’re not alone. When engineers share their brilliant ideas, it can sometimes feel like there’s a translation layer missing. Meanwhile, your non-technical team is looking to you for clarity.This talk is about closing that gap—leveraging AI tools to turn complexity into simplicity, so everyone’s on the same page and collaboration flows seamlessly. Here’s what we’ll cover:- Simplifying tech-speak with Custom GPTs: Use AI to distill lengthy conversations into clear, actionable summaries—tailored to what your team actually needs to know.- Turning clutter into clarity with my favorite AI-powered browser, Arc: Organize complex ideas into digestible insights, saving you time while keeping collaboration smooth and productive.- Streamlining meetings with my favorite AI-powered note-taking tool, Reflect: Capture key takeaways effortlessly and create concise summaries that everyone can act on. No matter your role, you’ll walk away with practical ways to make cross-team communication faster, clearer, and more effective. See you there!

Beyond the Buzz: Leveraging AI in Cross-Functional Communication and Collaboration

Miranda Babbitt

10 Automatizaciones Personales Revolucionarias para Potenciar Tu Productividad

Hey there! I'm Andy O'Neill from WebLitica LLC. Let me introduce you to game-changing personal automations that can supercharge your productivity using Make, an automation tool. Make, a direct competitor of Zapier, can automate your work, connect to over a thousand apps, and easily scale your automations. One example is a daily briefing bot that helps you stay updated without overwhelming your brain with information. I've created my own AI personal assistant, also known as Jarvis, which summarizes a LinkedIn RSS feed, provides weather updates, and delivers the information as an audio file via Slack. You can use an RSS feed to get updates while commuting. One of my automations is a LinkedIn connection accelerator that generates personalized connection requests. Automate meeting notes with AI. This automation grabs and formats meeting notes, determines meeting duration, and adds them to Evernote. Automate voice-to-Evernote with your phone. Use an audio recording app to capture brilliant ideas on the go. Sync the recording to Dropbox, use ChatGPT to write the information, and save it to Evernote. Automate the transformation of emails into tasks in Monday. Content Curation for LinkedIn: Automate the process of generating and scheduling LinkedIn posts by watching an RSS feed. Unsubby Digest: Receive a daily summary of newsletters and manage email subscriptions more effectively. Save time and stay organized with this automated email summary. Automate faceless video creation for YouTube Shorts using an RSS feed and the Placid AI platform. Automatically generate a ranked list of candidates tailored to your needs with TapFlow. Automate capturing software recommendations to your second brain with a dedicated Slack channel. Save time by automating SEO optimized blog post generation. Get a free account with Make using the QR code. Start with the core plan for a free month. Take the Make Academy training to learn the basics. Join the co-build collective for business automation coaching. Get one-on-one help with your make automations. Connect and book a call at weblitica.com. Join the community and get started with Make.

10 Game-Changing Personal Automations to Supercharge Your Productivity

Andy O'Neil

Metodologías para Implementar el Stack Tecnológico No-Code Correcto

Welcome to my talk on methodologies for implementing the write no code tech stack. Today, we'll discuss choosing the right tools for your tech stack, process improvement methodologies, and give examples of no code tools for marketing teams. Consider user experience, budget, timelines, integration possibilities, customer support, and external expertise when choosing tools. Process improvement methodologies include lean management, continuous improvement cycle, brainstorming, process mapping, 5W1H, Lean management, the Deming cycle, Jodoka, and Kaizen. Total quality management is user focused, process centered, promotes integrated systems, is strategic, and systematic. Solver has its own automation methodology with four steps: identifying, executing, and continuous improvement through quality control and assessment. Some adaptable no-code tools for marketing teams are SmartSuite, ClickUp, and Zapier. ClickUp is a project management tool with different entities and lists for organizing content. Zapier is a no-code automation workflow builder that connects to thousands of cloud-based tools. Attend the workshop on December 10th to learn about Zapier's AI capabilities and tool integrations.

Methodologies for Implementing the Right No-Code Tech Stack 

En esta presentación, Udipta profundizará en los roles de la IA predictiva y generativa en el marketing, con un fuerte énfasis en la importancia de la implementación responsable. Basándose en su experiencia en Salesforce, Adobe y WPP, desglosará el potencial transformador de la IA generativa mientras destaca las fortalezas fundamentales de la IA predictiva. Udipta delineará cinco estrategias esenciales que los equipos de marketing pueden adoptar para maximizar los beneficios de la IA generativa mientras gestionan eficazmente sus riesgos asociados. A través de ejemplos prácticos y estudios de caso, busca equipar a los asistentes con conocimientos prácticos para impulsar la adopción responsable de la IA dentro de sus organizaciones.

Navegando la Revolución de GenAI: 5 Estrategias para un Marketing Seguro y Efectivo

Today's Talk discusses the effective use of Gen AI in marketing while prioritizing safety, ethics, and compliance. Challenges of using generative AI include data breaches, intellectual property theft, compliance violations, and damage to brand reputation. Best practices for implementing generative AI include secure data retrieval, masking techniques for sensitive information, and toxicity checking. Strategies for safe and secure usage of Gen AI involve implementing a sensitivity layer for data protection and developing a secure user interface. Additionally, ethics training, continuous education, and prioritizing ethical AI use cases are crucial for successful implementation.

In this presentation, Udipta will delve into the roles of both predictive and generative AI in marketing, with a strong emphasis on the importance of responsible implementation. Drawing from his experience at Salesforce, Adobe, and WPP, he will unpack the transformative potential of generative AI while underscoring the foundational strengths of predictive AI. Udipta will outline five essential strategies that marketing teams can adopt to maximize the benefits of generative AI while effectively managing its associated risks. Through practical examples and case studies, he aims to equip attendees with actionable insights to drive responsible AI adoption within their organizations.

Navigating the GenAI Revolution: 5 Strategies for Safe and Effective Marketing

Udipta Basumatari

Lo que aprenderás:<ul><li>Descubre cómo AI puede convertirte en una estrella del marketing de contenido. Aprende cómo las herramientas de AI pueden ayudarte a investigar a tu audiencia y crear contenido de alto rendimiento en una fracción del tiempo.</li><li>Ve la creación de contenido con AI en acción. Compartiré cómo usar AI para crear contenido derivado atractivo dirigido a tus audiencias principales.</li><li>Explora las posibilidades: AI para cada necesidad de contenido. ¡AI no es solo una cosa! Veremos cómo aplicarlo a contenido de formato corto, contenido de formato largo, video, audio y más.</li><li> </li></ul>Por qué este tema importa:Para mantenerse competitivo y relevante, los mercadólogos de hoy deben adoptar AI y elevar sus conjuntos de habilidades. Únete a esta Sesión Relámpago para obtener las ideas que necesitas para convertirte en un mercadólogo de contenido potenciado por AI, aumentando tu creatividad, eficiencia e impacto.

Mejora Tu Contenido con AI: Un Curso Intensivo de 20 Minutos

Hi, and thank you for joining me today to learn about using AI to level up your marketing content. AI is important to marketers because it helps us do more. It benefits both low and high-performing marketers, leveling the playing field and boosting performance. Prompting effectively is crucial for creating quality content. Custom AI models can enhance content beyond commercial chat bots. To create good content with AI, follow the prompt framework and use specific prompts that follow best practices. Personalize content with GPTs by creating a marketing leader persona and training GPTs with specific instructions. AI can play a role in creating various types of content. These tools are changing our job and leaders prioritize hiring people with AI skills.

What you'll learn:<ul><li>Discover how AI can make you a content marketing rockstar. Learn how AI tools can help you research your audience and create high-performing content in a fraction of the time.</li><li>See AI content creation in action. I will share how to use AI to create compelling derivative content targeted at your core audiences.</li><li>Explore the possibilities: AI for every content need. AI isn't just one thing! We'll look at how to apply it to short-form content, long-form content, video, audio, and more.</li><li> </li></ul>Why this topic matters:To stay competitive and relevant, today’s marketers must embrace AI and elevate their skill sets. Join this Lightning Session to gain the insights you need to become an AI-powered content marketer—boosting your creativity, efficiency, and impact.

Level Up Your Content with AI: A 20-Minute Crash Course

 Natalie Lambert

¡Felicidades! Finalmente conseguiste la aprobación de personal y/o presupuesto para desarrollar más automatizaciones de marketing y ventas. Pasar de construcciones de un solo jugador a múltiples jugadores no es tan fácil. Escalar automatizaciones viene con sus propios desafíos: documentación, resolución de errores, interacción con IT, incorporación/salida de equipo, y más. Esta charla ilumina cómo anticipar y navegar estos desafíos para que puedas aprovechar al máximo tus nuevos recursos.

De Scrapy a Escalado: Finalmente Conseguistes Recursos para Hacer Crecer tus Operaciones No-Code. ¿Y Ahora Qué?

Hi, my name is Phil Blayken. I am the head of Enterprise Innovation at Zapier, and I'm super excited today to talk to you about going from scrappy to scaled in no-code operations here at ProductivityConf. The rise of the ops hero starts with automating tasks using no-code tools like Zapier or Airtable, but it can lead to chaos if not managed properly. Proper documentation is crucial in no-code systems to avoid errors and ensure consistency. Effective management includes implementing monitoring tools and workflows, having clear accountability, and linking error resolutions to relevant documentation. Showcasing success stories and ROI helps to communicate the importance of your work and gain more resources. Selling pain instead of benefits can overcome resistance and help grow your career in ops using no code and automation.

Congrats! You finally got headcount and/or budget approved to build out more marketing and sales automations. Going from single-player to multi-player builds isn’t that easy though. Scaling automations comes with its own challenges: documentation, error resolution, interfacing with IT, team onboarding/off-boarding, and more. This talk illuminates how to anticipate and navigate these challenges so you can make the most of your newfound resources.

From Scrapy to Scaled: You Finally Landed Resources to Grow Your No-Code Operations. Now What?

Philip Lakin

El cold outreach es más difícil que nunca. Los prospectos están ignorando los mensajes fríos, canales como LinkedIn ya no funcionan, y la capacidad de atención de los compradores está disminuyendo rápidamente. Hace cinco años, los correos electrónicos de menos de 200 palabras recibían buenas respuestas; hace dos años, eran 150 palabras, y hoy son menos de 80 palabras. La gente todavía está abierta al cold outreach, pero debe ser conciso, directo y súper personalizado. Antes, siempre había un compromiso entre "buena personalización" o "personalización a escala". Luego llegó la AI y lo cambió todo. Ahora, puedes ofrecer hiperpersonalización a las masas: solo mezcla un poco de AI con API, y tienes la receta perfecta.

5 Maneras de Convertir Tu Cold Outreach de "Meh" a "Wow!" Con AI

Hey, everybody. I'm Leo Goldfarb, a managing partner at albato.com. We're a no code integration and automation platform with 800+ out of the box API integrations. Our flagship product, albato embedded, is geared towards SaaS companies. Instead of burdening your team with developing integrations, you can embed our white labeled integrations in your SaaS. Our outreach is targeted mainly at B2B SaaS companies. We explore leveraging AI to boost outreach performance. Cold outreach has become increasingly hard, and some techniques that used to work are no longer effective. Let's dive right in and see the positive outcomes of our efforts, thanks to AI in our outreach. Even a reply like this is always better than no reply. We believe in making our messages meaningful and valuable to grab people's attention. There's a never-ending dilemma in cold outreach: personalized outreach or outreach at scale. With the help of AI, we can personalize at scale. Every outreach relies on high-quality prospect lists, impactful data points, and killer messages. The first pillar of outreach is high quality prospect lists. Gathering impactful data points helps prequalify leads. The spearhead of outreach is a killer message. The reply rate for this campaign was around 20%. After implementing AI in outreach, we focused on personalized and on-point messaging. We addressed the problem with integrations via Zapier and emphasized the need for native integrations. We leverage chat GPT to generate personalized messages and specific use cases for sense park customers. The campaign involves extensive personalization, including basic, buyer persona, and dynamic value propositions. We used an outreach dataset filled with AI-generated data points, including company details and integration use cases. We pulled customer reviews from G2 and used AI to identify the most common and critical problems with integrations. Chat GPT is good at determining review sentiment and identifying reviews mentioning integrations. However, it struggles with aggregating data and identifying hidden patterns. Chat TPT is better without setting hard boundaries, allowing it to be creative and provide convincing results. AI is effective at identifying isolated ICP criteria but struggles with complex composite ICPs. We attempted to use LinkedIn social activity as a conversation starter for sales, but the generated messages were off and dubious. To incorporate AI into our cold messages, we feed our prospect list to open AI via API. We train and tweak the language model through iterations until we're satisfied with the outputs. The AI-generated data points are then uploaded to our outreach automation tool, enabling hyper-personalized AI messages. We also offer white label, embeddable integrations for SaaS companies to provide seamless experiences within their platforms.

Cold outreach is tougher than ever. Prospects are tuning out cold messages, channels like LinkedIn no longer perform, and buyers’ attention spans are shrinking fast. Five years ago, emails under 200 words got good replies; two years ago, it was 150 words, and today it's under 80 words. People are still open to cold outreach, but it must be concise, on point, and hyper-personalized. Before, there was always a trade-off between “good personalization” or “personalization at scale.” Then AI came along and turned it all upside down. Now, you can serve up hyper-personalization to the masses—just mix a little AI with API, and you've got the perfect recipe.

5 Ways to Turn Your Cold Outreach From “Meh” to “Wow!” With AI

Leo Goldfarb

En esta sesión, profundizaremos en cómo aprovechar las herramientas de AI para automatizar la creación de contenido a gran escala, comenzando con una investigación efectiva sobre las preguntas que la gente está haciendo y avanzando hasta generar contenido de blog completo que se posicione bien. Demostraré cómo herramientas como Machine.AI pueden ayudar a construir clústeres de contenido, establecer autoridad temática y automatizar la reutilización para múltiples plataformas, como LinkedIn, Facebook y Medium. Los asistentes aprenderán cómo combinar la automatización de AI con ideas personales para maximizar el impacto.

Dominando la Automatización de Contenidos con AI para SEO: De Ideas de Blog a Rankings Superiores

Hi all and welcome to my quick demonstration on how you can master AI content with automations for SEO. The wrong way to do AI-powered search engine optimization is by leaving everything to AI, which can lead to hallucination in content and regurgitation of existing information. Additionally, the lack of experience and expertise in AI can be a limitation. However, with the right approach and a little bit of research, automation can still be effective, as shown by the success of AI-generated content in ranking for certain queries like gaming laptop temperatures. And all this stuff is as a result from AI generated content. We can maximize it by following three steps: finding frequently asked questions, answering them with an AI writing tool, and checking and uploading the content. This approach can yield great results in the right niche. So, I've Googled gaming laptop temperatures and found the most frequently asked questions. One easy way is to scroll down to the people also asked section on Google. Another approach is to use the free tool called Also Asked. With machine AI, we can turn these questions into blog posts and generate traffic for our website that sells PC gear, gaming PCs, and cooling fans. We'll target gamers aged 25 to 40 looking for the best gaming gear. Instead of using a keyword, we'll paste the questions from the Also Asked section, making sure to vary them up a bit. Let's quickly write a cluster of interlinked blog posts using Machine.ai. Configure the settings, select the cluster of articles, and write them. Machine.ai allows direct publishing to WordPress, but it's recommended to publish as a draft for editing. The generated articles are ready to go, answering user search intent. Ensure your niche does not fall under your money or your life. Use AI and automations as an extension of your writing. Capture your ideas using an automation with Slack and transcribe them with Whisper. Use Perplexity to search for blog topics and generate well-structured content with a pre-trained GPT. Organize everything in a Google Sheet and publish wherever you want. All ideas are fleshed out using AI. Customize the output in HTML, markdown, or email format. Test a quick HTML preview to see the written blog post with interlinked information. Easily generate images and learn to use Slack and Make for automation.

In this session, we’ll dive into how to leverage AI tools to automate content creation at scale, starting with effective research on the questions people are asking and moving through to generating comprehensive blog content that ranks well. I’ll demonstrate how tools like Machine.AI can help build clusters of content, establish topical authority, and automate repurposing for multiple platforms, such as LinkedIn, Facebook, and Medium. Attendees will learn how to blend AI automation with personal insights to maximize impact.

Mastering AI Content Automation for SEO: From Blog Ideas to Top Rankings

Nicolas Gorrono

En esta presentación, aprenderás cómo las páginas programáticas pueden ser una parte importante de tu estrategia de marketing.Presentaremos ambos escenarios dedicados a SEO (cómo construir contenido a escala y cuáles son los pros y contras detrás de ello) y SEM (cómo mantener tu oferta actualizada con el mercado).

Páginas Programáticas Sin Código para Propósitos de SEO y SEM

Hello and welcome to the Productivity Conference! In this talk, Bożej Abel, CEO and founder of Lendingy, discusses the use of no-code programmatic pages for SEO and SEM. He presents two case studies, one about Lendingy and the other about the STS Gaming Group. The first case study focuses on generating leads by using programmatic pages to compare Lendingy with other solutions. The second case study explores how the STS Gaming Group leverages programmatic pages for real-time marketing of sports events. Both case studies highlight the benefits of using programmatic pages to automate and streamline marketing efforts.

From this presentation, you will learn how programmatic pages can be an important part of your marketing strategy.We will present both scenarios dedicated to SEO (how to build content at scale and what the pros and cons behind it are) and SEM (how to keep your offer up to date with the market).

No-Code Programmatic Pages for SEO and SEM Purposes

Blazej Abel

Descubre cómo impulsar la innovación de productos utilizando la retroalimentación de usuarios y estrategias basadas en datos. Aprende ideas prácticas de Sierrah Coleman, una experimentada Gerente de Producto Técnico, sobre cómo aprovechar herramientas y características potenciadas por AI para mejorar el éxito del producto.Los asistentes aprenderán cómo recopilar y analizar sistemáticamente la retroalimentación de usuarios para guiar el desarrollo de productos. Los participantes descubrirán métodos para realizar análisis competitivos para comprender el posicionamiento en el mercado e identificar oportunidades de diferenciación. Los asistentes aprenderán cómo aprovechar herramientas como Looker para analizar el comportamiento de los usuarios y tomar decisiones informadas basadas en conocimientos de datos. El discurso cubrirá cómo las características potenciadas por AI pueden mejorar significativamente la relevancia de las coincidencias de búsqueda. Los asistentes obtendrán conocimientos prácticos sobre cómo traducir la retroalimentación de usuarios y los conocimientos de datos en estrategias de producto accionables.

De Insights a Innovación: Aprovechando la Retroalimentación de Usuarios y Estrategias Basadas en Datos para el Éxito del Producto

Hello, everyone. I'm Sierra Coleman, and welcome to my talk. Today, we'll explore four key aspects of this approach: systematic gathering and analysis of user feedback, competitive analysis, using analytics tools like Looker, and the transformative role of AI in improving search match relevance. As a result, we saw dramatic improvements in the relevance ratings from our users, directly driven by user feedback. Competitive analysis helps us position ourselves uniquely and aligned to user demands. Looker and similar tools transform raw data into actionable insights, allowing us to make informed design decisions, segment users, identify bottlenecks, and have real-time visibility into product health. Integrating user feedback and data insights informs AI strategies to enhance search match relevance. AI techniques like embeddings, semantic search, and real-time scoring help improve search accuracy. Embrace these insights to enhance user experiences and drive success.

Discover how to drive product innovation using user feedback and data-driven strategies. Learn practical insights from Sierrah Coleman, a seasoned Technical Product Manager, on leveraging tools and AI-powered features to enhance product success.Attendees will learn how to systematically gather and analyze user feedback to guide product development.  Participants will discover methods for performing competitive analyses to understand market positioning and identify differentiation opportunities Attendees will learn how to leverage tools such as Looker for analyzing user behavior and making informed decisions based on data insights The speech will cover how AI-powered features can significantly improve search match relevance. Attendees will gain practical knowledge on how to translate user feedback and data insights into actionable product strategies

From Insights to Innovation: Leveraging User Feedback and Data-Driven Strategies for Product Success

 Sierrah Coleman

We gather industry brightest minds to discuss the best strategies and tools for building personal productivity and scaling your operations in a tech-forward era. Learn from practical workshops, early adopter case studies and network with like-minded professionals. This year Remote format, covering a wide ranging of growing solutions industry. Next year we meet for in-person Productivity Fair in Amsterdam.

Productivity Conference - AI in Marketing

I'm attending Productivity Conf - get your free remote ticket and join me there with 1k professionals and 10+ great speakers

We gather industry brightest minds to discuss the best strategies and tools for building personal productivity and scaling your operations in a tech-forward era. Learn from practical workshops, early adopter case studies and network with like-minded professionals.

Productivity Conf - Practical AI in Marketing

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Productivity Conf - Practical AI in Marketing

PRACTICAL AI EVENT TO MAKE YOU 10X MORE PRODUCTIVE