Increase Revenue with?Machine Learning
Calculate likelihood to?purchase or churn, product recommendations, best?time?to?contact, and other metrics for your users.
Run a?promotion, retarget with ads, make a?customized offer, send a?campaign. Use with Google?Ads, Facebook?Ads, Bing?Ads, or any other advertising network.
14-day free trial
Gain insights into user behavior to?enable ML-driven scoring, targeting and personalization. Run pre-built or custom models.
Run pre-built models to evaluate probability that a user will complete specific actions, such as making a purchase or unsubscribing from an email list.
Predictive analysis assists in identifying the probability of user actions, enabling more focused customer retention strategies. By analyzing user interaction data, you can predict the likelihood of a user taking an action.
Examples: likelihood to make a purchase, churn, watch more than 50%?of?a?video, finish a?course, read an article to the end, close a page in the next 10?seconds.
Use ML insights, scores and metrics to?maximize ROAS and?minimize?churn.
Create ML-based audiences on Google?Ads, Facebook?Ads, Bing?Ads, TikTok?Ads, and other networks.
Optimize your budget: predictive metrics help focus ad spend on users most likely to?convert, leading to?higher returns on ad?spend.
Personalize email campaigns using likelihood to?make a?purchase, interest in?a?product category, probability to?unsubscribe, predicted revenue.
Choose the?best send time for?each customer with?send time optimization (STO).
You can use built-in integrations with email service providers or?export lists for?manual processing.
Use behavior predictions to?optimize offer prioritization and?generate sequences of?personalized offers for?each customer.
ML-driven insights help marketers automate their next best action and next best offer strategies.
Personalize user experiences based on real-time behavior predictions.
Grow your sales: product recommendations, personalized search, upsells and?content lead to?increased conversion rates and?AOV.
Identify and?retain customers who are likely to?churn, and?take proactive action.
Connect with?customers who are likely to?move to?a?different loyalty tier. Reward your most loyal customers to?keep them active. Win back inactive customers with?personalized offers and?discounts.
Integrate Almeta?ML with?your existing data platforms to?incorporate machine learning to?your processes and?enabling new workflows.
Contact?us for?more info on?workflows and?integrations.
We've been using Almeta?ML in several of our venture studio projects, and it's been a game-changer. The platform offers powerful predictive analytics and is easy to integrate. As early adopters, we're confident in the product's bright future. We'll keep using it in all our projects.Daniil?Kirikov, CEO and?Partner, 3F?Venture?Studio
The ability to predict customer behavior in real-time and utilize these predictions for targeted marketing campaigns on platforms like Google Ads and Facebook Ads is fantastic. The focus on privacy and data security is another important aspect, ensuring that sensitive information is handled with care.Ashik Hameed, Founder, Dorch
Almeta?ML gives me the edge I need to compete with larger companies. By understanding customer intent instantly, I can optimize my ad spend and maximize ROI without guesswork.Jackson Tylor, Marketing Specialist
Our annual subscription to?Almeta?ML paid for itself in?less than a?month. We've seen ROAS more than double in?retargeting campaigns.Mark Sawyer, Sr. Marketing Manager, Homekilo
Almeta?ML predicts customer behavior on?your?website in?real?time.
14-day free trial, cancel anytime.
Almeta?ML is the?easiest way to?run machine learning calculations on?your website. Most behavior-driven metrics require event tracking, which can?be set?up using the?web?tag or?pre-built integrations. After that it only takes a?few clicks to?run as?many ML?models as?needed.
Install the?web?tag or use built-in integrations.
Use built-in models or?upload your own. Run as?many as?you need concurrently.
Choose where you want to?send the?results.
While Almeta?ML is completely transparent for?the?user, a?lot is happening behind the?scenes.
Events can?be imported using?a?web?tag, integrations, API, or?data import. The?ML service runs the?calculations and?sends results to?selected destinations, like Facebook?Ads audiences or?Shopify customer profiles.
Models can?trigger actions on?the?website with?callbacks and?JavaScript events.
Almeta?ML can even run calculations directly in?the?browser: the?web?tag loads and?runs the?model for?you, enabling real-time metrics for?users?— like probability to?close the?page in?the?next 10?seconds.
Calculate propensity to purchase or churn, product recommendations, best time to contact and other metrics with built-in models, or run custom models.
Capture events and?get calculations using a web tag,?API or?integrations. Run ML models on?the?server or?on?frontend.
Use ML calculations with advertising platforms, email providers, eCommerce services,?CDPs.
Tell us what you need
Real-time event processing, programmable triggers, pre-built ML models, support for?custom models.
Use GTM to?add a?web tag or?use pre-built integrations. Choose the?models to?run and?their destinations. Click “Deploy”.
Utilize?API or?a?lightweight web?tag. Extend?with?webhooks, Lambda functions and?Cloudflare Workers.
Async web tag, 3 KB gzipped,?CDN.
Export your data at?any moment. Automate exports via integrations or?webhooks.
SSO with?SAML, advanced permissions, options for?hosted and?on-premise.
Almeta?ML does not track any?user information by?default. Choose which events you want to?track and?which customer data to?store.
You can use the?default setting of?no?cookies or track user ids from your current platform.
No customer data is used for?ML?— unless you choose to?include it.
Almeta?ML offers usage-based pricing. Each plan includes a?number of?events and?model calculations. Events are pieces of?customer behavior data used in?your models. The?number of?machine learning calculations is the?number of?times you run your models to?get calculation results.
You can sign?up for?a?monthly plan with no?commitment, or get two months free by?paying annually.
Each plan includes a?14-day free trial, you can cancel anytime.
Grow your audience efficiently
$99 / month billed annually
14-day free trial, cancel anytime
10,000 model calculations
100,000 events
60 days of data storage
Start Free Trial
Save on ads, increase revenue
$399 / month billed annually
14-day free trial, cancel anytime
100,000 model calculations
1,000,000 events
90 days of data storage
Start Free Trial
Full-scale machine learning
Volume pricing
Expert installation
Choice of hosted / on prem
Expedited support
Advanced permissions
SSO with SAML support
Contact us for?details
Additional model calculations: $3 for 1000
Additional events: $3 for 10,000
All included usage is on a monthly basis.
If you have any questions or need help setting up Almeta?ML with your existing infrastructure?— talk to?an?expert.
Almeta?ML predicts customer behavior on?your?website in?real?time.
14-day free trial, cancel anytime.
Click on a?question below to?see the?answer. If you need any help, please contact?us.
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.
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.
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.
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.
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.
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.
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.
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.
