beat personalization fatigue
Detect traits and themes from every customer conversation to continuously
enrich profiles and trigger hyper-personalized experiences.
unlock the data that matters
give your data a voice
Continuous trait
detection, everywhere
Detect customer traits and life events in customer communications to continuously enrich customer profiles.
Predictive triggers for
real-time audiences
Trigger personalized marketing strategies based on real-time intelligence.
amplify your existing tools and processes
96%
Of customer engagements include traits and themes for marketing personalization
28%
Increased conversion on customer engagements triggered by Frame AI
integrate with your existing data structure.
INGEST
Ingest and integrate unstructured data from diverse sources seamlessly to create a unified data stream.
ENRICHMENT
Enhance raw data with contextual intelligence, turning basic information into valuable insights.
ACTIVATE
Deploy actionable insights into your marketing
platforms, enabling proactive and automated
campaigns and workflows.
PERSONALIZE
Tailor interactions using enriched data to deliver personalized experiences across channels, boosting engagement and loyalty.
INGEST
Ingest and integrate unstructured data from diverse sources seamlessly to create a unified data stream.
ENRICHMENT
Enhance raw data with contextual intelligence, turning basic information into valuable insights.
ACTIVATE
Deploy actionable insights into your marketing
platforms, enabling proactive and automated
campaigns and workflows.
PERSONALIZE
Tailor interactions using enriched data to deliver personalized experiences across channels, boosting engagement and loyalty.
Take your
personalization
to the next level
Target demographic and organizational changes, value perceptions, and retention risks in real-time to reduce CAC and improve conversion. Stay ahead of brand value, competitor considerations, and product engagement to build durable marketing programs.
CONTINUOUS DETECTION
RISKS AND INTERVENTIONS
BUILD A FLEXIBLE AI STRATEGY
industry
leaders
giving their
data a voice
Frame AI helps the world’s biggest companies stay ahead of risk.
PROACTIVE TOOLS FOR better
personalization and LTV
Frame AI drives more effective, efficient, and personalized marketing strategies, leading to improved customer experiences, higher engagement, and a stronger brand and better business outcomes.
Data-Driven Decisions
Improve Efficiency and Reduce Costs
Frame AI automatically processes structured and unstructured data to activate existing automation, improving the efficiency of the organization’s total data investment and reducing costs.
Increase LTV
Frame AI in your
Marketing Stack
Works how you work
Enrich customer profiles and enhance sentiment analysis for deeper customer experience insights
Analyze customer interactions and feedback to drive better personalization
Unify and analyze customer data to drive actionable insights and personalization at scale
Enrich CRM data and trigger targeted customer engagement and retention strategies
Drive personalized messaging and improve customer engagement using advanced behavioral insights
Case studies, interviews, and tips and tricks learned from harnessing AI for more strategic implementation of your data.
Enrich profile data for better campaign personalization and enhanced customer journey mapping
Enrich customer profiles to enhance segmentation for more precise campaign personalization
Frequently asked
questions
How does Frame AI enhance personalization?
Frame AI’s Stream-Trigger Augmented Generation (STAG) architecture enhances personalization by detecting what matters to customers in the information they share organically and consensually in emails, chats, and calls. By analyzing unstructured data and natural language strings from these interactions in real-time, STAG identifies specific needs, preferences, and traits that might not be apparent through traditional data collection methods. This allows businesses to move beyond generic personalization and offer relevant, individualized experiences that resonate deeply with each customer.
What does Frame AI detect in unstructured data?
Frame AI detects traits and triggers in unstructured data by using advanced Natural Language Processing (NLP) and machine learning. It can detect all sorts of things that impact purchasing decisions— demographic traits like marital status, life events like an upcoming move or job change, prefernces around communication, content, and product, competitor considerations, and more. Frame AI builds bespoke models that pick up the customer signals that matter to a given business and user. Frame AI synthesizes these signals to enrich profiles and trigger workflows.
What kinds of things can Frame AI trigger in my existing tools?
Frame AI triggers action at every end of the marketing automation spectrum, from profile enrichments to campaign engagements. A signal detected by Frame AI might result in an in-app notification, an email offer, or a future adjustment to existing marketing cadences. Frame AI works inside of existing marketing tools and CRMs, including Hubspot, Braze, Salesforce, Snowflake, and more.
How does Frame AI improve customer engagement?
Frame AI improves customer engagement by analyzing unstructured data from various customer interactions. This enables businesses to tailor their communications and offers in real time, ensuring that each interaction is highly relevant and personalized. This approach captures customer attention and fosters a stronger emotional connection, leading to increased engagement and loyalty.
How does Frame AI ensure data compliance?
Frame AI utilizes zero-party data by analyzing the information that customers willingly and proactively share during their interactions, such as preferences, intentions, and feedback expressed in emails, chats, and calls. This self-reported data provides a highly accurate and valuable insight into customer needs and desires. By leveraging advanced NLP and machine learning, Frame AI processes this zero-party data in real time, identifying specific traits and preferences that allow businesses to deliver hyper-personalized experiences.
How does Frame AI work with existing marketing tech stack and tools?
By connecting with CRM systems, email marketing platforms, and customer support software, Frame AI ingests data from various sources to provide a comprehensive view of customer interactions. It uses Natural Language Processing (NLP) and machine learning to analyze this data in real-time, uncovering valuable traits and triggers. This integration allows businesses to leverage their current tools while gaining deeper insights and automating personalized content and offers, resulting in more effective and cohesive marketing strategies.
How do you measure impact?
We participate in your existing ROI measurements, integrating seamlessly with the metrics on which you already report. By enhancing the data you collect with deeper insights and more granular analysis, Frame AI amplifies the value of your current KPIs without requiring you to adopt new measurement frameworks. This approach ensures that you can easily track the impact of our solutions within your established performance indicators, demonstrating clear value and effectiveness in a familiar context.
THE LATEST
Powering the Middle with AI
Middle managers are crucial to organizational success but often spend a significant amount of time on administrative tasks, which limits their ability to focus on leadership and strategy. AI can alleviate these burdens by automating repetitive tasks and providing real-time insights, enabling managers to concentrate on higher-level responsibilities. Technologies like Frame AI’s STAG architecture go further by continuously analyzing data, proactively identifying risks, and offering performance feedback, which allows managers to take timely action. By empowering middle managers with advanced AI tools, organizations can enhance leadership, team performance, and overall operational success.
What is Deep Personalization?
Personalization has evolved from basic demographic targeting to more complex, individualized experiences, thanks to the rise of AI. Early personalization was limited by structured data, offering shallow insights into customer behavior. However, AI now enables businesses to tap into unstructured data, such as customer interactions and feedback, allowing for deeper, more context-driven personalization. With AI’s ability to understand customer intent and emotions in real time, brands can deliver highly relevant, proactive engagement that enhances customer experiences and builds long-term loyalty.
Deep Dive: Automated QA
AI-driven Automated Quality Assurance (AQA) is revolutionizing the traditional QA process in customer service by making evaluations more efficient and consistent. Traditionally, managers manually reviewed a small percentage of interactions based on rubrics measuring accuracy, empathy, and adherence to procedures, which was time-consuming and left room for inconsistencies. AQA automates much of this process by using AI to analyze entire conversations, pre-fill rubrics, and provide real-time insights into agent performance. This allows managers to focus on high-level feedback, improving scalability and ensuring more comprehensive and accurate evaluations across a larger number of customer interactions.
Learn how Frame Ai’s enterprise api
empowers platforms across the world
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leveraged to reshape unstructured data
Case studies, interviews, and tips and tricks learned from harnessing AI for more strategic
implementation of your data.