Almeta ML

Predict customer behavior with ML, save on ads

5.0•1 review•

297 followers

Predict customer behavior with ML, save on ads

5.0•1 review•

297 followers

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Advertising tools

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Business intelligence software

Predict customer behavior on your website in real time, use these predictions in marketing. Example: predict how likely a person is to make a purchase, target them by that metric on Google Ads, Facebook Ads, etc. Use with lead scoring, emails, advertising.

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Launch tags:Marketing•Advertising•Artificial Intelligence

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Almeta ML

Maker

📌

Hey Hunters! ❤️ I'm Igor, founder of Almeta ML - the secret weapon of digital marketers and growth hackers. After years of building solutions for large eCommerce companies, I'm thrilled to introduce a tool that brings predictive metrics to businesses of all sizes. 🧠 What is Almeta ML? 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. 🎯 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 💡 How It Works: 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. 🚀 To get started: 1. Install our (tiny) web tag on your site and start tracking events (similar to Google Analytics) 2. Choose what you want to predict 3. Start receiving actionable insights! Almeta ML offers usage-based pricing with a free tier. You pay only for what you use. 🎁 Exclusive Product Hunt Offer: I will double your limits on any plan for 3 months - just sign up today and let me know in the comments. Valid until July 18, so don't miss it! Thank you for your support and interest! I appreciate your feedback and comments!

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2yr ago

Scade.pro

@igorgusarov Good luck!

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2yr ago

Almeta ML

Maker

@nikogermish thanks Niko!

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2yr ago

Almeta ML

Maker

@hamza_afzal_butt Thanks Hamza! Timing depends on the amount of traffic your site gets, because more data leads to better predictions. For a typical website with some traffic you can get value within hours or days.

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2yr ago

hey @igorgusarov - Congratulations on launching Almeta ML! I had a quick qs- how customizable are the machine learning models within Almeta ML? Can businesses tweak the models or add custom parameters to better fit their specific needs and data?

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2yr ago

Almeta ML

Maker

@julia_zakharova2 Thanks Julia, appreciate the support! I've been working full-time for about 6 months, plus got a lot of help from a few data scientists. It's a huge project for me, and I'm excited to launch more use cases for it in the future.

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2yr ago

Product Hunt Rank

💡 Bright idea

I'm very impressed with the work that you've done here! We'll definitely give this a try. Do you think it could also be useful for SaaS companies, not just e-commerce?

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2yr ago

Almeta ML

Maker

@maxt3r Thanks Max! I've had a lot of interest from SaaS companies. Some common use cases for SaaS: - identifying customers that are likely to churn and proactively engaging them - finding customers likely to upgrade/downgrade - lead scoring to prioritize them for sales teams Let me know if you need any help setting it up. Appreciate the support!

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2yr ago

💡 Bright idea

Wait, is this magic? If you tell me 5 years ago, ecommerce website can just plug into an API or web tracking code and they get results like these, I'd say you are BSing. But I guess ML has come a long way. I'm curious what do you use to train your models? How do you ensure the model would work for a specialized market? I also love that you have a free tier for folks to try things out! If the model works like magic, people will convert. Let results speak for themselves. Congrats on launching magic I guess @igorgusarov and team! A tip: I think given that you have a usage based pricing, it'd be nice to have a slider + calculator to show the cost would be a nice addition!

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2yr ago

Almeta ML

Maker

@tonyhanded Thank you for the kind words! The models used are mostly different kinds of neural networks with attention mechanisms. For propensity models it's a transformer model that has an inherent ability to capture complex patterns in the data and make predictions based on the user's behavior and preferences. I'll work on that slider+calculator. Thank you for your support!

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2yr ago

@igorgusarov - interesting! Thanks for sharing!

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2yr ago

ECPower

💡 Bright idea

Congrats on the launch! l’m curious about how you predict customer churn and how accurate it is. My product offers behavioral segmentation of online store customer, including an ‘at-risk of churn’ segment, though it’s really easy probability estimation based on purchase cycle data. If your solution is powerful enough I would like to refer this to our users and also want to discuss the possibility app integration

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2yr ago

Almeta ML

Maker

@umisea Hi Omi! Great question! Churn is calculated as a probability of the corresponding events. These calculations are utilizing several data points: 1. Previous actions of the current customer (tracked as events, including event details) 2. Historical actions of all other customers 3. Customer attributes 4. Catalog data (like products, collections, offers, etc) All event sequences are packaged for the ML model in a way to maximize the use of positive and negative examples, as well as timing information. This data is used to train the model (each website has their own model trained on their specific data). That's a "transformer" model that has built-in attention mechanisms, and identifies behavior patterns that lead to the target event. The output of the model is the probability of the target event (in this case, churn). I would love to connect and see if we could integrate, will reach out on LinkedIn. Thank you for your support!

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2yr ago

ECPower

@igorgusarov Thank you for your detailed response! I’ll reach out via LinkedIn later with some follow-up questions. Congratulations for now!

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2yr ago

Congrats on launching, that looks exciting! We were looking for a nimble solution to get some metrics and help our small marketing team get full-blown analysis on possible options, but that seems to be even a step ahead! Will check out that trial version.

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2yr ago

Almeta ML

Maker

@vitaly_sherishorin Thanks Vitaly! There is a free plan, it's not even time limited, hope you get a lot of value from it! Let me know if you need help with integration.

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2yr ago

Hey @igorgusarov Can Almeta ML predict which website visitors are most likely to buy? This could help target ads and promotions for better results!

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2yr ago

Almeta ML

Maker

@jpgohil93 Hi Jayesh! Yes, absolutely. Almeta ML can predict the probability of purchase for all customers, and you can create advertising audiences based on those predictions. For example, you can create an audience in Google Ads that includes your website visitors that are more than 20% likely to make a purchase. Thanks for your support!

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2yr ago

Hi Igor, is that really so easy to get started with Almeta? Shocked

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2yr ago

Almeta ML

Maker

@vadim_lipatov Hi Vadim! I tried to make it as accessible as possible. That said, I'm working on integrations with popular platforms that will let you install it in a few clicks. Stay tuned! Thanks for the support!

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2yr ago

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