Close more deals using predictive lead scoring to automatically prioritize leads based on thousands of data points.
Relying on "old ways"leaves you behind in capturing the high converting leads in your pipeline
Traditional lead scoring methodologies rely on interest from the prospect to determine a score, but the activity level of the lead does not necessarily provide an indication of their ability to purchase.
Manual lead scoring is susceptible to human bias, which can impact the accuracy and fairness of the scoring process. Personal opinions, and preferences, may unconsciously influence the evaluation, leading to skewed results.
Manual scoring processes can be inflexible and struggle to adapt to evolving market dynamics or changes in the target audience.
Our models instantly identify who Sales and Marketing should be focusing on by combining both product and firmographic data into one score. You no longer have to build brittle, manual scoring rules.
Train AI models with no asks to engineering. Intempt gives you the control to build and deploy models with ease.
AI factors in thousands of signals to find your best future customers. Uncover accounts that you’d regularly miss.
AI gets smarter over time. Our scoring continuously adapts to new data and trends as your product and business change.
Minimize errors from manual data entry and improve the accuracy of lead scoring and opportunity recognition.
Our Predictive scoring algorithm analyzes all of your data and identifies
what signals result in achieving your goals
Easily prioritize deals for reps and uncover new pipelines. AI automates hours of data analysis in an instant, so reps can focus all effort on their highest potential deals.
Use data points from the entire customer journey - parse through thousands of data points to qualify leads.
Surface deals with a self-optimizing lead-scoring system that improves over time. More data = more accurate scores.
Intempt’s AI powers every stage of the deal cycle through automation.
Get relevant alerts, instant CRM syncing, and automatic lead sequencing – while running playbooks to standardize best practices on your best accounts.
Avoid losing an audience member forever with irrelevant content by letting AI suppress recipients who are more likely to unsubscribe.
Use AI to analyze previous programs and predict whether you are going to hit your conversion goal
Segment your audience by highly likely, likely, and less likely to convert so you can communicate effectively to everyone.
See a breakdown of each user’s likelihood to take a defined action, such as subscribe or churn based on historical engagement and attribute data.
Deliver highly personalized product recommendations at scale
Recommender AI delivers personalized recommendations that suit each customer’s tastes and preferences across all your touchpoints.
Put all your data to work producing predictions by incorporating all metadata like product name, description, category, images, product longevity, and more.
Offer first-time users and loyal customers alike high-quality recommendations via web, mobile, email, and more, anywhere in their journey.
INGEST YOUR DATA
PROCESS THE DATA
Deliver recomendations anywhere in the customer journey
Product catalog data
Multiplate ways to integrate your data
Upload your recommendation model
Show recommendations at customer touchpoints
Maximize the impact of your GTM strategies with predictive scoring
Utilize advanced machine learning algorithms to enable accurate predictions by analyzing historical data and identifying patterns and indicators of lead quality.
Integrate with various data sources, such as Hubspot, your app and website data for comprehensive data availability for accurate scoring.
Flexibly customize and configure scoring models based on specific business needs, industry dynamics, and target audience characteristics.
Incorporate relevant demographic and firmographic data, including industry, company size, job title, and geographic location to enhance lead scoring accuracy with contextual information.
Capture and analyze lead behavior data, such as website interactions, email engagements, meetings, and content consumption, for a more comprehensive understanding of lead intent and likelihood of conversion.
Dynamically score leads and retrain your models daily to ensures up-to-date lead prioritization and timely sales engagement.
Predictive models use the power of machine learning to predict the likelihood of any behavior you’re tracking in Intempt Platform.
Generate attribute values for your customers based on the trained ML model. Use the attributes to create predictive segments to engage your customers.
Ingest any ML model fully tailored to the specific audience and business use case.
User predicitve data to get deeper insights into future ROI combining behavioral, transactional, and demographic data.
Dynamically adapt to real-time customer behavior and changes in variables like assortment, pricing, and special offers.
Leverage predictive attributes and segments with well-documented REST APIs, server and client-side SDKs.
Intempt has taken the guess work out of creating perfectly timed customer Journeys and data-rich Growth boards.
Visit our library to install one of our pre-built templates for sales & marketing inspiration.
Start optimizing your customer lifecycle with Intempt