How do you measure analytics?
Anil Matcha
18 replies
Replies
Vikram Aditya@viks_rum
DaoLens
We ask questions in plain English, and the AI does the job. We have built an LLM for analytics that can plus into any data source. It's like no setup, no tracking code maintenance, and when we really like a graph, we can save it to a dashboard. All standard functions like drill down, cohort filtering etc. can be done through a conversation and there is a magic Canvas which sort of lets us test multiple hypotheses through a whimsical of sorts but for widgets. As of now, we're picking beta customers wisely but within a month or so, you can expect a self serve offering out.
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Skylead
GA4 is king
Google Analytics pretty much helps with everything
Launching soon!
I would define goals, KPIs, and metrics first. Data collection and Data Analysis will come second as there are many tools in the market for the same.
Defining a clear goal will reduce the time and effort.
For example, before we even pitch our product www.grafieks.com to the prospects and customers, we would try to understand what they want to measure. For example, if they want to measure just the web analytics, we suggest tools like Google Analytics or Motamo. If they have the transactional system and want to measure, let's say sales-related KPIs, we will suggest our product.
We use an “events” table in out data base that is updated with different triggers when a user signs up, edits their data etc.
We use metabase to visualise the data
My team uses Google Analytics and Lead Forensics for the website visitors.
The LinkedIn Inbound Playbook
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MyDataNinja
Depends on what u want to measure. If you want to measure your advertising performance try mydataninja.com
Otherwise, just for visitors number and stuff like that GA4 is pretty good to use and free.
Trademarkability
Analytics, Search console, SEMrush, Ahrefs..
AI HomeDesign
Really depends what kind of metrics we're looking IMO. Can't treat all the numbers the same!
The question is very vague and doesn't offer any context to provide a useful answer.
There's marketing analytics, server-side analytics, client-side analytics, big data analytics, operational analytics, supply-chain analytics, etc. etc.
Trademarkability
The importance of statistics truly hinges on your specific objectives. Think of them as akin to symptoms when you're unwell – they provide essential clues to your progress. While metrics like traffic, user engagement, referral sources, and events are fundamental to gauge, don't confine yourself to these alone. Your chosen statistics should align with your goals and the broader context of your efforts.
All the best!
Measuring analytics effectively requires identifying key performance indicators (KPIs) that align with your goals. Utilize tools like Google Analytics for web traffic and engagement data. Regularly analyze these metrics, compare them against your objectives, and adjust strategies accordingly. This approach helps in understanding your audience's behavior and optimizing for better outcomes. I stumbled upon https://appmetrica.yandex.com/about, a beacon for those of us not well-versed in the tech wizardry often required by similar platforms. What drew me in was its user-friendly interface—navigating through AppMetrica felt intuitive, breaking down the barrier of complexity that usually intimidates me.
The integration process was a breeze, courtesy of its no-code features. This was a game-changer, saving me time and sparing me the headache of navigating through technical mazes. AppMetrica's flexibility in handling data was another highlight. It allowed me to tailor analytics to my app's unique needs, offering a level of customization that felt almost bespoke.
