Tristan Mobbs的动态

Ever spent hours on Google searching for a specific answer? Sure, if you need a capital city named, Google’s got your back. But the second you need something more specific… You're bombarded by data! ? Irrelevant results ? Pages of 'almost' answers ? A sea of unanswered Reddit pages! But you need the answer so, down the rabbit hole you go! Trudging through a swamp of random facts and figures. Well, this is happening in your business everyday. Today, let’s fix that. ??Step 23...???????????? ???????? ???????? ??????????????????! → Define the specific metrics that drive your decisions. → Filter out the outdated or irrelevant data. → Set up regular reviews to keep your analytics focused. By making your analytics simple, you cut through the noise and get the answers you need, when you need them. Tomorrow, we’re diving into training your team. ---------------------------- I post daily about all things #Data, #Manufacturing, #SupplyChain & #Industry4.0 so don't forget to hit the ?? on Mike Sutton ?? for more!

Refining analytics is so often overlooked, yet it can transform decision-making across the board. Focusing on the right metrics and regularly clearing out irrelevant data brings clarity and empowers quicker, more confident actions. ?? #DataDriven

You get multiple benefits when you use Google data analytics, but i will focus on its ability to "Uncover Hidden insights", This allows you to reveal hidden trends, Patterns and customers behaviors that traditional methods might miss. This can inform better decision-making across the organization. Transform your data with Google today. ?? #google #googlecloud

The Challenges of Traditional Data Analysis Manually analyzing marketing data is incredibly time-consuming and reaches the limits of human capacity. Imagine juggling data from Google Analytics, social media platforms, and more! Sifting through it all to identify trends and measure success feels impossible. Here's why traditional methods struggle: ?? Limited Scalability: They can't handle ever-growing data volumes. ?? Data Integration Issues: Combining data from various sources is difficult. ?? Inability to Handle Unstructured Data: Social media comments and emails are valuable, but traditional methods struggle to analyze them. ?? Difficulties with Real-Time Analysis: Marketers need to make data-driven decisions quickly, but traditional methods can't keep up. What's the solution? Check out Jenn Greenleaf’s post for more information: ?? https://buff.ly/3TWcvie #marketinganalytics #dataanalysis #challenges

First-party data is no longer just a nice-to-have—it's the foundation of sustainable growth. ?? Yet so many companies are still stuck: ? GA4 (google's data) still remains their "source of truth" - ha!? Agencies control their strategy, focusing on metrics that don’t drive real revenue. ? Tools create data silos, leaving teams with incomplete insights. ? Marketing and sales work in isolation, instead of as one unified revenue engine. The result? Wasted spend, lost trust, and missed opportunities. Take back control: ? Own your first-party data strategy. ? Unify your teams around a single source of truth. ? Use your data to connect every marketing dollar to revenue outcomes. Stop playing catch-up—start winning with data that works for you. #FirstPartyData #DataStrategy #RevenueGrowth

I don’t usually do this, but once a year, I find it necessary. As a business, I want to ensure I stay competitive. Understanding data is crucial for all of us, and most businesses need to interpret it effectively. I’m not a big reader when it comes to data. Honestly, I only focus on what I need to know and move on. However, like any good marketer, data has to be applied in my business—and in any business—for maximum growth and daily wins. Check out this video, and let me know in the comments how you read your Google Analytics data. #google #data #businessgrowth #recruiters

Curious about how data can transform marketing strategies? Well, It’s all about making informed decisions based on real metrics rather than guesswork. Kones will be hosting an engaging discussion on this topic and would love for you to be a part of it! Whether you’re a marketing professional, a data enthusiast, or just interested in the future of marketing, your insights will make this conversation even more valuable. Starting at 8.45 pm. Link to join : https://lnkd.in/dYS29MVT #EverythingData #datadriveninsights #datainmarketing #datascience #dataanalytics

In just 60 seconds, the world generates an overwhelming amount of data online: - 231.4 million emails are sent. - 4.3 million snaps are shared. - 500 hours of video are uploaded to YouTube. - 16 million texts are sent. - 5.9 million Google searches are made. - 347,200 tweets are posted. - 66,000 photos are shared on Instagram. - $443,000 is spent on Amazon. The pace of our digital world is staggering, and this data explosion shows no signs of slowing down. How is your business navigating this rapidly changing landscape? #Data #Database #Dataanalytics #Datascience

Platform-wide algorithm reports may help you see trends in big data sets, but they are poor prescriptive tools for you as an individual. There's an old adage: "All models are wrong. Some are useful." Beware of big averages over big data sets. They are dangerous — especially if you intend to use them to plan the outcome of a single person. You're better off combining archetypes with individual analysis: ?? Archetypes will show you which bucket of people to benchmark against — and who is not worth comparing yourself to. ?? Individual analysis uses your personal data by itself to provide insights that are directly relevant to you and yoru goals. Don't be data-driven — data shouldn't rule you. Be data-informed — make empowered decisions. Always be growing,? —Mike P.S. Ask me how you can get individual analysis for your LinkedIn data ???♂? Follow:?#MarketingMuscle (and) ?? Ring: Mike Phillips #creatoreconomy #linkedingrowth #personalbranding #contentstrategy ↓?