#analytics
How To Manage Social Media For Your Small Business: Tips To Get Results Without Wasting Time
It’s complicated to manage social media for your small business.
There are a lot of moving parts to consider as you develop your content strategy and keep it moving.
For many small business owners who don’t know the best ways to streamline their social media marketing, it can be confusing and cost a lot of time.
In some cases, it costs so much time that it isn’t worth the effort for many small…
Analytics maturity
There are lots of questions you can ask of data. I like this model as it gives a framework for the different types of questions you might ask. It was introduced to me as the data science pyramid with descriptive analytics — measuring what’s happening — being the foundation on which others are built. You don’t have to go in order, but it’s a nice approach to consider how the questions you’re asking of your data might evolve.
To take our school Summer fête as an example, for a long time takings were all in cash and put into one bucket at the end for counting. You end up with one number for how much you raised. But you might move to collecting more descriptive data on the takings for each stall — whether the bar earns more than the tombola, for example. You then might be able to ask diagnostic questions like figuring out why one fête earned more than another with a different mix of stalls. If you know how many people came you might be able to make some predictions on the takings of a future fête based on number of people and stall types. And if you get fancy you might start to use your data to figure out how you could raise more money for the school in future.
There are many ways to slice and dice data and the questions you ask, but I like the clarifying simplicity of this one.
As far as I know, the framework is the Analytics Ascendancy model, or Analytics Value Escalator, or other such business sounding name from Gartner.
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Zenlytic Raises $1M for its Analytics Platform for E-Commerce Businesses that Streamlines Data Analysis with Machine Learning
Zenlytic Raises $1M for its Analytics Platform for E-Commerce Businesses that Streamlines Data Analysis with Machine Learning
Starting an e-commerce business is easier than ever with a number of plug-and-play platforms like Shopify to alleviate heavy technical burdens. Starting a successful e-commerce business is a much more difficult task. It’s no longer a case of if you build, they will come. The most seasoned e-commerce operators recognize the importance of data analytics and how leveraging this data effectively…
Celebrating diversity
Today we celebrate the diversity of our community.
Pictured are the flags of our contributors: Hong Kong, Japan, Philippines, Portugal, Slovenia, Turkey, United Kingdom, United States. It’s wonderful to imagine philosophy being created for The Human Front from around the world.
We haven’t asked our contributors to identify their genders. Though both men and women contribute, we’d like more diversity. (Get in touch!)
Thanks to Google Analytics, here are some statistics about our readership.
A non-exhaustive sample of 15,607 users revealed the following distribution of readers:
- United States: 5,370 (34.46 %)
- United Kingdom: 2,603 (16.70%)
- Canada: 823 (5.28 %)
- India: 638 (4.09 %)
- Australia: 614 (3.94 %)
- Philippines: 529 (3.39 %)
- Germany: 286 (1.84 %)
- Brazil: 202 (1.30 %)
- Netherlands: 193 (1.24 %)
- Turkey: 183 (1.17 %)
Other nationalities identified include: Japan, France, Spain, Italy, New Zealand, Sweden, Mexico, Indonesia, United Arab Emirates, Denmark, China, South Africa, Pakistan, Singapore, Ireland, Greece, South Korea, Norway, Poland, Thailand, Austria, Portugal, Hong Kong, Romania, Argentina, Malaysia, Slovenia, Egypt, Russia, Belgium, Bangladesh, Finland, Nigeria, Kenya, Vietnam, Israel, Hungary, Serbia, Puerto Rico, Taiwan, Ukraine, Bulgaria, Switzerland, Saudi Arabia, Chile, Colombia, Czechia, Morocco, Croatia, Nepal, Ghana, Slovakia, Georgia, Algeria, Latvia, Albania, Estonia, Peru, Sri Lanka, Ethiopia, Bosnia Herzegovina, Lithuania, North Macedonia, Tunisia, Ecuador, Iraq, Malta, Trinidad & Tobago, Zambia … plus 70 more.
Using Instagram Insights, a 90-day sample revealed that, of 9,250 users, 64.6 % were men and 35.4 % were women.
The breakdown of age was as follows:
- 13 to 17: 1.8 %
- 18 to 24: 35.4 %
- 25 to 34: 44.8 %
- 35 to 44: 11.3 %
- 45 to 54: 3.9 %
- 55 to 64: 1.5 %
- 65+: 1.4 %
Thank you for being part of this journey, wherever you are in the world, whatever your gender is, and however old you are!
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it’s back!
29. 06. 2021.
I’m finally studying for my last exam tonight.
