Artificial Intelligence (AI) is the making its way into every sector, including marketing campaigns. One tool in particular has found a way to simplify modern marketing by taking over menial tasks to run completely autonomous and successful campaigns.

Just ask one of their major clients, Harley Davidson, who raised their sales leads by over 2000% after switching to AI marketing.

Albert is the self-described first ever AI marketing platform and enterprise. Albert learns as a company grows, and autonomously analyzes data and optimizes campaigns to gain new leads.

Although many other platforms like Google and Facebook offer their own autonomous marketing systems, our pal, Al, can work across all channels. That means no more checking every separate channel to get an overview of marketing insights.

Not only does this save time, but it also saves money.

In the present digital age, it makes sense to let AI do the heavy lifting. When it comes to marketing, AI software is able to use online interactions to determine possible leads. For Harley Davidson, Albert generated leads from a large pool of potential customers that made purchases in the past, added items to their cart through the online shop and spent a significant amount of time on the site.

From this larger group, Albert developed smaller groups of “lookalikes,” or potential buyers, and tested out campaigns before implementing them.

This allowed Albert to predict appealing headlines and visuals, while also making adjustments to language that had tested better.

For example, Albert replaced the word “buy” to “call” as a call to action sent in emails and newsletters for customers to find out more about Harley Davidson’s top products.

As Harley Davidson experienced, AI marketing like Albert have the ability to make more accurate decisions that increase revenue and save time. Unlike traditional marketing tactics, Albert can make decisions based on actual data versus just guesswork. Without the ability to analyze online behavior, companies end up underestimating their potential buyer demographics.

Our pal, Al, is able to widen that figure, finding leads that were not even considered, and thus generate more business. The best part is that it is all done autonomously.

Turns out it isn’t just the average Joe who should be worried about misleading information online. Brands should be equally concerned about the accuracy of consumer perception. The basics of sentiment analysis are as old as the pandora’s box of asking for someone’s opinion. However, a study by the Harvard Business Review has shown that online vs. offline consumer reactions should be treated differently.

Sentiment analysis is the computational process of categorizing a person’s attitude towards a product, brand, topic, or campaign as “positive”, “negative”, or “neutral” by digesting their linguistic patterns in their posts and comments.

It’s essentially the uphill battle of turning subjective feelings into actionable or useful data. The problem is finding accurate trends when 60 percent of sentiment analysis studies yield overall “neutral” attitudes. Not all that helpful…

Essentially, online reactions are rooted in extremes. We all have been or have that friend who posts about finding “this amazing product/brand” and must let all passing scrollers know about this new obsession.

Alternatively, some try to perform a civic duty by warning others about a poor experience to save their social media friends from the same grief. Whatever said in that comment or post is likely filled with intense emotion, equivalent to someone running out into the road to yell their feelings to anyone who’ll listen.

Secondly, the spectrum of consumer reactions can be too wide. With the rise of fake accounts and bots, accepting feedback wholesale can lead to too much noise or misleading sentiments. Specificity is key, especially when A.I. and algorithms still have trouble recognizing irony, hyperbole, and humor. (Memes, anyone?) Feedback can be more accurate by targeting phrases such as “will buy” or “won’t buy”. For bigger brands, random, sentiment sampling can also help narrow the focus.

Finally, the sentiment analysis tools should vary. There are a growing number of resources with Hootsuite Insight, Rapidminer, and Social Mention just to name a few. Different tools can help create a better picture of consumer reactions — just follow the trail of hashtags!

The minefield of online interaction hasn’t gotten any safer despite a public awareness for fake news. Context is still a tricky thing. But subjectivity still makes the world go ’round (in my opinion), and we can see the value in feedback even though it may require playing with fire.

You already know that building a brand (for yourself OR a brokerage) is a lot of work. There’s not only fierce competition, but there’s a lot of ground to cover.

A huge portion of that ground is being present on social media. This doesn’t just mean consistently posting content that is important and relevant to your brand, but it also means keeping tabs on who is following you and engaging with said content.

That’s why Metrics Coffee is here to help. With this new tool, it helps you keep track of your social media metrics by sending you a detailed email to your inbox every Monday morning.

So, how does it work? First, you enter your email to register (the first month is free, woot woot!) and then you attach all of your social media handles to your account.

Then, every Monday morning, you’ll receive an email from Metrics Coffee with a detailed look at your personal metrics. It’ll show the number of followers on each specific platform, and how much your follower count has gone up (or down) within the last week.

Platforms that it currently tracks are: Twitter, YouTube, Instagram, ConvertKit, and ButtonDown. If there’s a platform that isn’t included that you’d like them to track (we would suggest LinkedIn as it is overtly missing), you can request that they integrate said platforms.

“I recently become an independent developer (quit my job!) and started making courses and conducting workshops. I get most of my audience from my twitter and YouTube channel, so I’ve become more intentional about building an audience, said Metrics Coffee maker, Siddharth Kshetrapal. “[I] started tracking [the metrics] with pen and paper along with my morning coffee, but I would forget doing this all the time! Realized I need it to be a push not pull. And that’s why I built this product! It keeps a track of my social accounts and sends me an email every Monday; including my tiny newsletter.”

Much like one needs their Monday morning coffee, Metrics Coffee is designed to give you a rush of adrenaline and inspiration that will help you start your work week. It’s such a simple concept that we wonder why this hasn’t been around for a decade already.