Question 1

How do I use Almeta ML?

Accepted Answer

Almeta ML learns customer behavior on your website and predicts future actions in real time. These predictions can be used to create highly targeted audiences or to dynamically personalize your site's content and offers. The easiest way to get started is to create an account, put a web tag on your website, and start tracking events. As soon as you have events coming in, you can choose what you want to predict and start getting predictions for your customers in real time. You can also use the predictions as variables and triggers in Google Tag Manager or any advertising platform.

Question 2

How does it work?

Accepted Answer

Almeta ML analyzes user interactions on your website using machine learning algorithms. It identifies patterns in behavior, predicts future actions, and provides real-time insights, enabling you to optimize ad targeting and personalize user experiences. Each prediction is based on the current customer actions and historical data, as well as other customers' behavior.

Question 3

What are the supported use cases?

Accepted Answer

We have models to predict likelihood of a user taking any action (like a purchase, a page view, a click, etc.), product recommendations, best time to contact, and other predictive metrics. You can use these metrics to optimize marketing spend, increase revenue, improve conversion rates, and send the right messages to the right customers at the right time. Examples: Commercial websites: target customers who are most likely to make a purchase, eCommerce: show personalized product recommendations, SaaS companies: identify customers at risk of churning and proactively engage them, Lead generation: focus on visitors most likely to convert into qualified leads

Question 4

How accurate are the predictions?

Accepted Answer

The accuracy of the predictions depends on the quality of the data you feed into the model. The more data you have, the better the predictions will be. You can get pretty good predictions with limited data. For example, if you track content view, product view, add to cart, checkout and purchase events, you can get high quality predictions of the likelihood of a user making a purchase after just a few thousand events.

Question 5

How long does it take to get results?

Accepted Answer

You can start getting quality predictions within hours after you set up event tracking. The quality of the predictions will improve over time as more data is collected. We recommend setting up event tracking as soon as possible to maximize the amount of data you can use for predictions. The predictions are calculated in real time.

Question 6

Is it hard to integrate with my website?

Accepted Answer

Integrating Almeta ML into your website is similar to integrating any analytics tool with event tracking, like Google Analytics or Facebook Pixel. When you sign up, you will get a unique web tag that you can add to your website using a tag manager. The web tag is tiny, and is loaded asynchronously, so it does not slow down your website. When you have the web tag installed on your website, you can set up event tracking and start collecting data. See Events Documentation for more information. Alternatively, you can import event data using Almeta ML API, or built-in integrations. Expert Installation: If you need help setting up Almeta ML on your website for real-time predictions, you can schedule an expert installation with us. It is a one-time payment of $500, and includes setting up Almeta ML web tag, tracking all events that are relevant for your website, getting machine-learning models up and running, and processing real-time predictive metrics on your site to use in marketing audiences.

Question 7

How does Almeta ML approach data privacy?

Accepted Answer

Almeta ML does not collect any personally identifiable information about your customers, unless you choose to include it in your data. If you use the web tag, Almeta ML will only collect the events you choose to track. By default, the web tag generates a random customer ID and saves it to local storage. You can choose to include your own customer ID in your data.

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