You’re a product marketing professional. How can you develop your analytical skills?

Boost your analytical skills in product marketing with these power moves: Data Dive: Get cozy with Google Analytics, Tableau, and Excel. Learn Online: Hit up Linkedin or Coursera or Udemy for stats or market research courses. Apply Real-World: Analyze your campaigns, crunch those consumer numbers. Ask Why: Adopt a detective mindset – question trends and dig deeper. Volunteer for Projects: Jump into data-heavy projects head-first.

Be curious! Identify the big questions you have about your product or customers - then start using the tools available to help you answer them. It will be surprising how easy developing analytical skills is when you're trying to answer a question you really want to know! Rinse and repeat.

Enhance your analytic skill by regularly monitoring market trends, customer behaviors, and competitor movements. Utilize those data sets with analytical tools such as Google analytics or more advance which is Tableau. Continuous learning also important so attend Microsoft Azure AI or IBM applied AI will be a good start.

1. Learn the Fundamentals of Data Analysis: • Start with the basics: Build a foundation by understanding key terms like data types, descriptive statistics, and inferential statistics. Online courses, books, and tutorials can provide a solid starting point. • Master essential tools: Familiarize yourself with common data analysis tools like Excel, Google Sheets, or even basic SQL. These tools help you organize, manipulate, and analyze data efficiently. • Take online courses or workshops: Numerous online resources offer introductory and advanced courses on data analysis and specific tools. These courses can provide structured learning and guidance.

Often the deliverables are the outputs that a product manager is responsible for producing when working on the project and yes, it happens through cooperation with other teams: Analytical skills is by product of product vision. (including mock-ups, demos, or walkthroughs) to define the idea of what a product should be, why it has to be created, and for whom; what the market research reports talks and user personas to analyze competition, the target consumers, and the product/market fit hypotheses; The Best set example is CDMA phone that was launched by Reliance Infocomm and it was given free to all for three years !! Consumer had to just pay for the Handset that costed at mere Rs 500.

Very Simple 6 Steps I Used 5 Years Ago - Still Works 1. Basic Mastery: Start with a deep understanding of fundamental analytical concepts. 2. Real-Time Projects: Apply these basics in hands-on projects for practical experience. 3. Data Interpretation: Progress to interpreting relevant data sets, honing your analytical acumen. 4. Tool Proficiency: Familiarize yourself with analytical tools, mastering their usage. 5. Continuous Learning: Stay updated on industry trends and evolving analytical methodologies. 6. Collaborate with Analysts: Work closely with data analysts to gain insights and refine your skills.

Here are some ways to embark on your journey to becoming an analytics whiz: Dive into the data treasure trove: Explore website analytics, social media insights, and customer reviews to uncover the stories hidden within the numbers. Befriend the basics of statistics: Averages, percentages, and correlations are your allies, helping you discern what's working and what needs improvement. Speak the language of visuals: Master creating clear and impactful charts and graphs. Practice makes perfect: Experiment and analyze real-world marketing campaigns to sharpen your analytical skills with every test as a learning opportunity. Level up with online resources: Explore both free and paid courses to deepen your understanding of data analysis.

Continuous Learning: Stay updated with the latest trends and tools. Practice Problem-Solving: Challenge yourself with analytical problems. Utilize Tools: Learn how to use analytical tools like Google Analytics and Excel. Seek Mentorship: Find mentors who excel in analytics for guidance and feedback. Gain Hands-On Experience: Work on projects that require data analysis. Collaborate Across Disciplines: Collaborate with professionals from other fields to gain new insights. Develop Critical Thinking: Practice evaluating data objectively and considering alternative interpretations. Communication Skills: Communicate complex data findings clearly and persuasively. Feedback and Iteration: Seek feedback on your work to continuously improve.

I would start with the essentials first while honing your skills. Here's a basic toolkit: Website Analytics: Google Analytics (free) provides website traffic insights, user behavior, and campaign performance. Social Media Analytics: Built-in analytics from platforms like Facebook, Instagram, and LinkedIn offer audience demographics and engagement metrics. Data Visualization Tools: Free options like Google Data Studio or paid tools like Tableau help transform data into impactful charts and graphs. A/B Testing Tools: Platforms like Optimizely or Google Optimize allow you to test different marketing elements and see what resonates best. Start with the basics, explore free options, and gradually expand your toolkit as your skills evolve.

In my view, as a product marketing professional, you can develop your analytical skills by: 1. Analyzing market trends and competitor data. 2. Utilizing data analysis tools like Google Analytics or CRM systems. 3. Learning basic statistical concepts to interpret data effectively. 4. Engaging in continuous learning through online courses or workshops. 5. Collaborating with analytics teams to gain insights from data.

I have been using tools like Tableau or Zoho Analytics. These platforms help you extract insights from data. Suppose you’re launching a new product; with these tools, you can analyze customer demographics, behaviour, and market trends to refine your target audience and tailor messaging effectively.

Easy to use: Google Analytics for understanding web traffic. SurveyMonkey for basic surveys. Excel PivotTables for interactive reporting. Datawrapper for basic data visualizations. Increasing difficulty: Amplitude for analyzing product usage data. Mixpanel for user analytics. Tableau for interactive dashboards and data discovery. Datorama for marketing analytics. Innovative: Grow.com for predictive analytics and experiments. Census for customer data infrastructure. Fivetran for automated ETL and data transformation. ThoughtSpot for conversational business intelligence with search and AI. Looker for embedded BI and unified data platform.

As a product marketing professional to enhance analytical skills, consider following tools and resources: 1] Google Analytics: It is a powerful web analytics tool that provides insights into user behavior on websites & apps. 2] Amplitude: It is a robust product analytics platform that combines analytics with in-app engagement. 3] Mixpanel: it is excellent product analytics tool for analyzing user actions. 4] Heap Analytics:offers ad-hoc analytics &basic reporting 5] Pendo, is deal for managing customer feature. Above tools provide valuable data, also focus on developing your analytical skills through courses, workshops & real-world problem-solving. Combine technical proficiency with critical thinking to excel in product marketing.

Product analytics tool from experience is very important because it helps to take important decisions concerning a particular products. Using software that can easily be understood and give required results is also germane.

There’s a lot to share about this topic, but these are the main things IMO: - Learn from experts: take online courses, read books like « hooked » and others to understand different facets of PM from positioning to customer behavior. - Use intuitive analytics tools: i think it s a waste of time and energy to learn how to use complicated analytics tools. I would use tools like SnapIQ.ai that simplify data access and query and cover multiple data sources. You focus on doing the product marketing. - Test, test & test: Make data driven decision on how to market your product and test it quickly. If it doesn’t work, pivot. - Share insights company wide: make sure everyone knows what you learned to keep the product and user needs at the center.

Hoje existem diversas ferramentas no mercado e a escolha delas deve se basear no seu objetivo, custo e facilidade de uso, uma vez que estamos falando em primeiros passos. Alguns exemplos de ferramentas são: Maze - ferramenta de pesquisa que pode ajudar na análise de protótipos de produtos digitais. Survey Monkey - Ferramenta de disparo de pesquisa. Power BI, Looker Studio ou Tableau - Análise de dados e geração de relatórios. Google Analytics - Coleta de dados do app e site para análise.

Right tools are driven also to our skills, badget and how bigger is the work we would like to perform. From excell to data lack we can find even freemium solutions that can responde do our requirements.

Stay updated with the latest tools, techniques, and methodologies in data analysis. Enroll in relevant courses, attend workshops, and explore online resources such as blogs, forums, and webinars to expand your knowledge base.

Identify a key business question - e.g. as ecommerce manager, determine if free shipping promos lift sales enough to justify costs. Collect relevant sales data - monthly figures over 2 years, highlight free shipping periods, divide products into price bands. Clean & process data - fix errors, import into Excel, create calculated fields like YOY growth, averages. Analyze - sum figures, growth rates, averages across periods and product groups. Spot key data trends and variance. Do order values increase enough during promos to offset discounts? Draw insight, build charts showing variance in growth and order value. Present findings - include statistical summaries of uplift, extract basket size examples showing halo of free shipping.

Working with real data from your own projects, products, or markets is indeed one of the most effective methods to enhance your analytical skills. It provides hands-on experience and allows you to apply theoretical knowledge to practical situations, enabling you to test assumptions, validate hypotheses, evaluate results, and optimize strategies effectively.

Apply your analytical skills to real-world marketing challenges. Start with small projects and gradually tackle more complex problems, using data-driven insights to inform your strategies and decisions.

Information plays a key role in today's marketing, and in order to provide an effective solution for product development, it is necessary to acquire the skills of using information in addition to using real information from market research (including competitors' performance, market size, growth rate, etc.) and of course do not neglect learning new tools such as AI Marketing.

From my personal experience, having worked as a marketeer in the Entertainment industry for more than a decade, one key point is to always A/B test your campaign using data. Always challenge your creative and mediabuy agencies to come up with multiple assets you'll be able to A/B test and gain insights from. This works for social media, but also CRM, display, VOL... Segment your creatives per target groups and identify what performs best to maximise your ROI on your campaigns. Not only this will help you build strong ROI for your current campaigns but you'll get access to an incredibly wide variety of data which will be game changer to finetune your campaign and reach your target goals !

Best learning comes from observing data over time as the data develops patterns or on the contrary, does not, and puts your assumptions to the test. Therefore, working with the real data is the best way to polish your analytical skills.

Remember, analytical skills are a muscle, the more you use it, the stronger it gets. Follow data-driven leaders, attend workshops, and build a network of mentors. Remember, data is your superpower. Unleash it, and watch your product marketing soar!

A melhor forma de aprender é na prática: - Escolha um projeto; - Entenda o problema e as hipóteses que quer testar; - Colete os dados; - Processe os dados; - Explore os dados; - Crie seu relatório na ferramenta escolhida e o mais importante: compartilhe os resultados!

Após ter lançado o seu MVP, a melhor maneira é identificar seus próprios problemas. Em 3 de cada 5 produtos que trabalhei, possuíam problemas no onboarding do cliente. O funil de conversão de aquisição ajuda demais na análise de onde estão os gargalos. Na sequência, conheça melhor seus usuários e ofereça uma experiência maravilhosa para ter um ótimo engajamento. Estude hipóteses, valide e inove seu produto.

Building strong analytical skills in product marketing shouldn't be a solitary endeavor. Effective learning from others involves seeking mentorship from experienced product marketers proficient in analytics. Shadow their approach, ask questions, and glean valuable insights from their expertise. Engage in online communities, and participate in discussions on forums and social media groups dedicated to product marketing analytics. Analyze successful marketing campaigns by deconstructing case studies, identifying analytical methods, metrics, and key learnings. Leverage online resources such as blogs, articles, and webinars from industry experts to stay updated on trends, tools, and best practices.

The key to unlocking great product marketing is to forensically understand what you are trying to achieve, drive alignment with everyone involved and to challenge each other on the perfect execution. Of course the most important people to learn from is your target audience. Ideally, your product will have been developed from qualified insights. The most compelling propositions I have come across have involved an element of co design. This drives confidence in what you are bringing to market and why. It's motivating for consumers and those delivering the products. Doing things this way, means product marketing can be developed based on real testimony from those whose problems your product solves. And things change. So check in regularly!

It’s simple. Evidence counts with data. Use your own campaign history and reference success and especially failures, you won’t always have all the answers but it is fine to have experience in your domain. Benchmark the best at what they do, even if not directly in your industry/technology or field of experience. Analysis of external industries is under utilized

Learning from experienced product marketing professionals with strong analytical skills is invaluable. Seeking feedback, advice, and guidance from peers, mentors, or managers can provide insights into refining data analysis methods, techniques, and processes, ultimately helping you enhance your analytical capabilities.

Study philosophy. Seriously! A huge part of product marketing analytics is understanding what the data really says and identifying what it – does not – say. Interpreting that data accurately has more to do with epistemology than it does with data science. To correctly attribute marketing performance to product features and public perception, you need to critically examine the assumptions you (and your customers) make before jumping to conclusions — and definitely before reporting your findings to an executive decision-maker. If you uncritically accept the first interpretation that comes to your mind when looking at data, you're doing it wrong. Use philosophy to get acquainted with uncertainty and use it to your advantage.

For the development of analytical skills, it is very important to observe data and phenomena from different perspectives. People from other sectors, with different priorities and needs, can uncover important areas that must be taken into account. Therefore, it is important to constantly expand the circle of people and initiate open discussions.

Conversar com profissionais da área, entender a realidade e as dificuldades do dia-a-dia é um ótimo caminho para o aprendizado. Caso não conheça outras pessoas que trabalham com o tema, aproveite as possibilidades que o LinkedIn oferece, participe de grupos, se conecte com as pessoas da área e explique seu interesse em trocar conhecimento.

Relacionarse con personas que sepan mas de algo que uno siempre es beneficioso. Cuando me iniciaba en el mundo comercial tuve un Gerente que era mi Jefe que me regalo un libro que me ayudo a abrir mi mente en el lado comercial. El libro fue. "Fundamentos de Marketing" de Philip Kotler y Gary Armstrong. El cual lo leí con mucho ahínco y definitivamente si estas en este mundo de las ventas, marketing y productos, el libro mencionado es una lectura obligada. Otra manera de aprender es integrar grupos especializados en la materia que te interesa dominar y definitivamente la mejor manera de aprender es enseñando. Mas aprende el que enseña.

Embrace curiosity, creativity, and critical thinking. Seek new knowledge, skills, and perspectives to enhance your role as both a product marketer and data analyst. Connect with experts and mentors for guidance. Embrace mistakes and failures as opportunities for growth. Monitor progress, measure impact, and celebrate achievements.

Continuous learning and skill enhancement are pivotal for personal and professional growth. Establishing new habits and dedicating quality time daily fosters knowledge expansion. In the realm of AI, this ethos is paramount, driving innovation and progress. Embracing continual improvement ensures relevance and efficacy in an ever-evolving landscape.

Remember, developing analytical skills is like training for a marathon - it takes time, dedication, and maybe a few energy gels (or snacks, let's be real). So, don't be afraid to get your hands dirty (figuratively, of course) and have fun along the way!

This is not a one and done, you will constantly learn something new and better ways to handle certain things. There is not a single approach that will work with everything. Be creative and think outside the box. Focus on the customer, not yourself.

The world of marketing, always changing and fast. You need to be aware of up-and-coming trends, and always have a beginners mindset always be open for learning more.

In this journey to seek truth - the best learnings come from FAILURE! Do not be discouraged. One of the most amazing feelings is being able to translate your findings into action and seeing the results. Many times the time spent analyzing the data and creating a strategy pays off but at times when it doesn't try it again. The most satisfying part of my job is when I can see a direct correlation between my research, action and results and KNOW that I made it happen.

Practice critical thinking Develop your critical thinking skills to approach data analysis with a strategic mindset. Challenge assumptions, consider alternative interpretations, and evaluate the implications of your findings. Critical thinking allows you to extract deeper insights from data and make informed decisions. Engage in exercises that require you to analyze data critically, and actively seek feedback to refine your analytical thought process.

Una de las maneras de aprender cada día mas de algún tema o en este caso en especifico en Marketing, es mediante las lecturas especializadas, si bien en un momento inicial puede parecer literatura pesada por su terminología, sin embargo si te apasiona el mundo comercial , definitivamente uno se engancha y empieza el aprendizaje. Cabe señalar que el marketero es un curioso por naturaleza , observador y a la vez emite postulados, que no necesariamente deben concordar con todos, muchas veces es alguien que va en contra de la corriente y alli identifica un nicho de mercado.

Keeping a mindset of continuous learning and improvement ensures that product marketing professionals stay updated on the latest trends and techniques in analytics.

Remember, analytical skills aren't just about crunching numbers, it's about unlocking the potential within them. The true magic lies in translating insights into impactful product marketing strategies. So, unleash your inner data detective. By embracing data, you become a product marketing powerhouse, driving strategic decisions and propelling your career to the next level.

This year has seen a big shift in the way we see data with a lot of tools suffering from fatigue and others now being misused. Quite recently SEO/SERP became a hot topic because it can be easily gamed and then website traffic became yet another hot topic because you can buy impressions and visits for a brief period to boost your ranking. You have to make it a point to follow the news on these things otherwise you end up creating a strategy only to find out that massive changes are about to deployed rendering your strat worthless Also consider that for every strat you need a second one ready at a moments notice because ad performance can immediately get overtaken by something more popular.

- learning the basics is the first step then continuous learning and development while having mentor or someone who can teach you - I want to add that a good marketer must have advanced analytical skills, he must have vision that based upon analysis of future trends, I can describe it like predicting the dynamics, customers response, competition anticipation …etc , this marketer is having high analytical skills embracing high emotional intelligence This will be achieved if the marketer is going beyond studying marketing , he must have background about economics, finance , digital and management for example

One that I think is missing: Start With the End in Mind. The origin story of an analytics project should be the fundamental questions you need answers to that presumably lie in the data. I mean that literally: It should start with a list of questions you intend to answer. That frames the inquiry so that you don't end up with amazing visualizations, metrics, and tools, but no useful takeaways or insights. It also helps in uncovering gaps in your data or process. Finally, it's a huge aid in presenting the findings: It will ground the story that the data is telling into useful themes that tie back to the reasons you undertook the project in the first place.

Les cours et les conseils sont certes de bons moyens d'accélérer la compréhension d'une problématique marketing. Mais un professionnel peut devenir excellent sans avoir jamais suivi de cours car cette matière s'acquiert avec l'expérience. Ça prendra plus de temps mais c'est faisable. La clé toutefois, c'est d'y mettre sa réflexion et de faire confiance en son bon sens. Tout en marketing est affaire de bon sens. Un professionnel autodidacte avec du bon sens sera toujours bien meilleur qu'une personne bien formée qui tente d'appliquer des recettes apprises dans les cours.

Siempre es muy importante validar tus análisis y la decisiones que quieras tomar mediante estudios de mercado o pruebas piloto antes de tomar decisiones definitivas

Follow the data and understand where it comes from. If you follow the buyer experiences and see what the data tells you, and get curious about it, you can learn a lot. Understand the strengths and weaknesses of the most common metrics. They all have some sort of focus or lens. For example: 1. Customer Satisfaction Score (CSAT) 2. Net Promoter Score (NPS) 3. Customer Effort Score (CES) 4. Conversion Rate 5. Churn Rate

Everyone understands the need for math, analytical tools, etc.. I believe that the most important ingredient is curiosity. I believe in the axiom that “Nothing is sacred save the question mark.” Too often, in my experience, people look for the wrong answers, when the correct answer it “Why”, followed by “Why Not.” Too often data acquired is not representative of data needed. Analysis Paralysis gets in the way of actionable strategy and tactics, along with value checks by senior management. Just a thought by an old warrior.

L'action de suivre ses performances et les analyser est très importante car ça aidera le spécialiste Marketing ou de Vente à comprendre la situation actuelle de son marché et améliorer sa stratégie Commerciale ou Marketing. En particulier, J'utilise beaucoup plus Excel, Google sheet et autres outils intelligence Marketing. Je déconseille pour le moment l'intelligence artificielle qui peut donner des faux chiffres dans l'analyse des données Marketing et Vente car la réalité du chiffre, c'est sur le terrain. Cordialement !

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