Many of us have been there

Social media has so many options; it’s like standing at an elaborate restaurant buffet, asking, “Where to start?”

1. Slowly with an appetizer?
2. Dig into the side dishes?
3. Or go hog-wild and dive straight for the Buffalo wings, pizza, and desserts?

So let’s clarify

In order to narrow down your starting point and develop an effective social media marketing strategy, you have to understand what your choices are, what each offers, and how to leverage them.

Having this solid understanding is essential because social media marketing is as varied as it is indispensable. For many businesses, it's no longer an option, and it’s incredibly lucrative when done correctly.

In part 1 of this post, Effective Marketing Using Social Media, we got a good overview of the top four choices people have to augment their marketing strategies with social media: LinkedIn, Facebook, Twitter, and Instagram. 

We likened it to a buffet table packed with choices, but unlike a buffet, social media is no longer optional; it is essential that businesses actively use and engage in social media.

But just using social media isn’t enough! To be successful, you need to know about effective marketing strategies: which ones work best for you, and how to leverage those approaches to your advantage. 

Since established almost 30 years ago, Python has become one of the most popular programming languages. Current tech giants like Instagram and Spotify use Python to create smooth functioning and better user experience/interface (UX/UI). Python essentially has three main uses: web development, data science (such as machine learning), and scripting.

Many of the top modern-day tech companies are choosing Python, and rightly so. Here are the top 5 apps built with Python:

With so much consumerism in today’s era, getting your message out has never been more challenging. While lots of visual data is published on social media every day, there are far fewer motion apps or web-based platforms that can help drive more traffic. Companies today are considering implementing motion graphics more than ever. Animations can be used in every platform and for every type of business, strengthening company messages and brand awareness. 

Here’s what you need to know: 

Visual design is way more than just appearance, providing essential tools for creating marketing perfection. While design is crucial in today’s world, it is often underestimated in the business world for its effectiveness and capabilities. Learning visual design can help boost your company’s marketing and messaging through high-end visual communication to better inform and educate potential clients.

Here’s what you need to know:

What is SVG?

SVG stands for scalable vector graphics. It’s an XML-based coded file format that enables us to use vector graphics in webpages.

Why Should You Optimize SVG Files?

Design apps such as Sketch, Adobe XD, and Illustrator code SVG files differently. Some produce cleaner code than others. Regardless of what app codes the SVG file, it’s likely that the code can be further optimized, offering cleaner code and a smaller file (which downloads faster). Loading speed is important because website speed is one factor that affects your website’s Google ranking.

Optimizing SVG files can have other benefits. Once we had an SVG file that Illustrator didn’t like. The SVG was exported from Sketch, and we were trying to open it in Illustrator. We got an error message and it appeared wrong in Illustrator. After optimizing the SVG file, it imported without error and looked correct!

What are Variable Fonts?

Variable fonts are a new kind of font that allows for amazing new levels of flexibility. With just one font file you can alter thickness, width, or just about any attribute you can think of... all while keeping the file-size small (important for websites).

Do not limit your thinking to the standard options that you’ve seen before (bold, italic, extended, condensed, etc.). Font designers can make variable fonts do all sorts of cool things!

“Oh lord—we’ve lost a lot of money!” This is an exclamation you might hear in the lobby of a casino, but sadly, it’s something we hear when people have not set up their Google Ads Campaign correctly.

It’s because some people don’t approach Google Ads with a professional attitude; instead, they seem to trust “Lady Luck”.

If you think about it, there’s a key difference between a professional and the average person who enters into a situation where sums of money can be made or lost quickly. 

That key difference is that the professional never sets foot into a money-related situation without having a well thought out STRATEGY!

Strategy = Winning

Therefore, even if you’re a beginner, you should always have some kind of strategy in place when working with Google Ads, because then you’ll spend your money wisely and WIN EVERY time.

When we talk about Google Analytics, most people have one of three reactions, which one are you?

1. You have heard about Google Analytics but are not really sure what it can do for you.
2. You know about Google Analytics. You have even logged into the dashboard only to be overwhelmed by the overkill of data provided and are stymied what to do with it or where to begin.
3. You get excited about the possibilities when you think of this powerful tool, with all the incredible insights it can give you into how your website is performing and how visitors behave on your site.

If you answered 1 or 2—don’t freak out because many of the people we start helping have not been clearly shown, or explained to, why this is one tool you never—EVER—want to ignore. If you are looking for a more in-depth technical training check out our Google Analytics training & courses.

Inevitably, everyone who has any interest in Data Science faces a wall, and that wall’s name is Mathematics. As much as we would love to avoid the intricacies of math in data science, when a stakeholder asks, “Can you explain the answer to me?” the answer is probably a complicated mouthful consisting of a whole pipeline of ideas involving data and mathematical calculations. As important as it is to know the correct algorithm to do the work, it is equally important to conceptually understand the math behind the algorithm. We’ll look at some of the key mathematical concepts so that we can slowly recreate the engine and learn the mechanics of data science.