Customer Intent Prediction

Increase customer satisfaction & LTV by predicting their next action and offering what they need, right when they need it.

When customer signals go unnoticed 

Companies who are not interpreting customer behavior in real time are missing critical chances to convert, retain, or upsell because they:


  • can’t tell which users are ready to buy, need help, or are about to churn
  • are failing to identify upsell or cross-sell potential
  • waste effort on users with low or no intent while high-intent customers go unengaged
  • are relying on static lead scores or gut feeling rather than real behavioral data
  • send generic campaigns that ignore where customers are in their decision journey
  • are missing high-intent behaviors that fade before outreach happens

WE DELIVER INSIGHTS

Move from reactive analytics to proactive customer engagement.

  • Intent visibility in real time

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    See which visitors are ready to buy, need help, or may churn – and act while the window is open.

  • Dynamic scoring

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    Get dynamic intent scores for purchase, churn, upsell, and support – updated continuously as behavior unfolds.

  • Tailored engagement at scale

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    Use real-time intent to personalize campaigns, offers, and outreach based on what customers are likely trying to do – not just who they are.

  • Behavioral pattern recognition

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    Detect subtle cues like comparison shopping, exit behavior, or support content visits that signal next likely actions.

  • CRM integration & automation

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    Trigger follow-ups, offers, or support workflows based on live intent data directly in your CRM or marketing tools.

  • Trial-to-paid prediction

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    Identify free users likely to convert, and prioritize them with personalized nudges and sales outreach.

  • Support readiness alerts

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    Spot frustration early through behavior or NLP cues and offer proactive assistance before they escalate or leave.

BENEFITS

Turn behavioral signals into timely actions that convert, retain & upsell

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    Boost conversion rates

    Offer well-timed offers and assistance to increase salese

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    Increase customer retention

    Intervene with retention strategies before the customer decides to leave

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    Improve loyalty & lifetime value

    Improve customer satisfaction and engagement with timely messaging

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    Target with purpose

    Increase the ROI of your team’s time and campaign budgets by focusing efforts on the right customers

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    Personalize at scale

    Tailor every step of the customer journey & win by personalization at scale that drives satisfaction and revenue

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    Optimize based on data

    Aggregate intent analytics & reveal valuable trends to refine your overall marketing strategy

What sets us apart

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Real-time proactivity

Many tools provide analytics after the fact; our intent prediction software works in real time, enabling you to engage the customer in the moment when they are most likely to act. This immediacy can significantly outpace competitors who respond too late.

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Broad use-case coverage

Whether it’s e-commerce, SaaS, or retail banking, the system is adaptable. It comes with pre-trained models for common scenarios (cart abandonment, upsell opportunity, churn signals) and can be custom-trained for your specific industry nuances, giving you an edge with a tailored solution.

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Reduced sales cycle friction

By knowing a lead’s intent early (e.g. identifying serious buyers vs. casual browsers), your sales team can prioritize efforts efficiently. This product gives you an advantage in converting leads to customers faster by focusing on those with high intent and nurturing those not ready yet until they are.

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Extraordinary CX

You can personalize the customer journey in a way competitors can’t. For instance, if a user shows intent to seek support, you can proactively offer help via a chatbot or call, avoiding frustration. This level of attentiveness differentiates your brand and creates loyalty.

Your questions

Our answers

01 What types of customer intent can this product really predict?
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It can predict a range of intents depending on your configuration: common ones include purchase intent (likelihood to buy something or convert from trial), churn intent (likelihood to cancel or not renew), upsell intent (likelihood to upgrade or buy additional services), and support intent (likelihood the customer has an issue or question). The system uses different behavioral cues and, if available, textual data to gauge each type of intent.

02 How is this different from a regular analytics tool or lead scoring?
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Traditional web analytics might tell you what a user did (visited 5 pages, spent 3 minutes) and lead scoring might give a static score based on rule of thumb. Our Customer Intent Prediction is more dynamic and works in real time – it interprets the data in context using machine learning. Instead of a generic score, it provides a nuanced view of why a customer is behaving in a certain way and what they are likely aiming to do. It’s like having a smart assistant that not only scores a lead but tells you “This lead is comparing pricing plans and is likely to purchase in the next 24 hours if given an incentive.”

03 How do we act on these intent predictions?
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The solution is designed to make taking action simple. You can set up automated triggers – for example, if a website visitor’s purchase intent score goes above a threshold, automatically display a helpful chat message or send an email with a limited-time offer. Similarly, if churn intent is detected for a subscriber, it can prompt a task for an account manager to reach out personally. Your team can also use the real-time intent dashboard during sales or support calls to tailor their approach based on the customer’s likely needs.

Contact us

Turn signals into sales

Krzysztof Surowiecki
Senior Manager Commercial Analytics
Tomasz Tołłoczko
Senior Manager Consumer Analytics

See the product in action

Other services from this section

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    Recommendation Systems

    Complements intent prediction by providing AI-driven suggestions; for instance, if intent prediction identifies a customer’s interest in a category, the recommendation engine can show best-sellers in that category to drive a sale.

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    Sentiment Analysis

    Analyze customer feedback and sentiment, which can feed into intent models – e.g., negative sentiment might increase churn intent score. Together, these solutions give a holistic view of customer mindset.

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    Customer Segmentation

    Use segments in conjunction with intent data to prioritize high-impact opportunities and strategies tailored to specific groups.