beat personalization fatigue
AI that hears what your customers want
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
Forbes: Can Small and Mid-Size Banks Survive AI?
In today’s consumer banking landscape, small- and mid-sized banks, once valued for local relationships, are facing new challenges as customers prioritize digital convenience. With major banks investing billions in AI to enhance personalization and efficiency, smaller institutions are feeling the pressure to keep up. AI presents an opportunity for these banks to restore and amplify their hallmark of personalized service. By outsourcing AI capabilities through cloud banking providers, these banks can improve customer experience, automate routine inquiries, and focus resources on meaningful customer connections. This strategic blend of technology and human touch can help smaller banks regain a competitive edge in a crowded market.
How AI is Accelerating the Hybridization of Sales and Marketing
Customers no longer follow a linear path from marketing outreach to sales conversion. The fragmentation of the customer journey has created a critical business problem: ensuring a seamless and personalized experience across all touchpoints. To compete on engagement, companies have begun collapsing the traditional boundaries between sales and marketing. AI is accelerating this shift by synthesizing new data from various channels and enabling more precise targeting that aligns sales and marketing efforts around customer needs.
What Else Can AI Do For CX?
CX leaders are figuring out how to leverage AI to transform core parts of their operations. Frame AI CEO George Davis recently joined a panel at Arthur AI Fest to weigh in on where to find impact beyond chatbot-style automation. Thinking about build vs.buy? What it means to “tailor AI” to specific business needs? Check out a summary of George’s insights below and stay tuned for Part 2.
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Case studies, interviews, and tips and tricks learned from harnessing AI for more strategic
implementation of your data.