FirstHive transforms fragmented data into a unified golden record that drives personalization, engagement, and growth. Powered by Agentic AI, our enterprise-ready platform combines ETL pipelines with composable architecture, offering flexible integrations, 750+ connectors, schema-free ingestion, and advanced identity resolution—unlocking value from every interaction, across any channel.
Our Agentic AI Framework continuously merges and deduplicates customer records across touchpoints using deterministic and probabilistic techniques and machine learning. With multi-step identity resolution and configurable unification models, profiles are resolved with 99%+ accuracy—even with incomplete or conflicting data.
Powered by Agentic AI, configurable unification rules and multi-layered matching techniques link fragmented identifiers into a single, trusted profile that scales with enterprise data models for accuracy and compliance.
Customer data from 750+ sources is unified in real time, with Agentic AI ensuring golden records update instantly across digital, offline, and third-party touchpoints to keep every profile current and reliable.
Conflicts across structured, unstructured, and semi-structured data are resolved in real time, with Agentic AI standardizing formats, enriching missing attributes, and keeping profiles accurate and complete.
Anomalies and inconsistencies are continuously monitored and auto-corrected, with Agentic AI learning patterns to prevent future breakdowns and keep profiles reliable 24/7.
Comprehensive customer profiles include behaviors, preferences, lifecycle stage, and predictive attributes, and evolve in real time.
Profiles are grouped under a single Household or Account ID, with Agentic AI applying configurable matching to align with business rules and compliance needs.
Unify fragmented customer data with FirstHive’s AI-powered identity resolution. Learn how adaptive ID matching builds accurate, actionable customer profiles.
Learn how schema-free ingestion, advanced identity resolution, and continuous data preparedness drive strategic business outcomes.
In today’s fast-paced digital world, marketers are constantly seeking ways to gain a competitive edge and drive success.
| Layers | Traditional CDPs | Composable CDPs | FirstHive CDP + AI |
|---|---|---|---|
| INGEST Schema-free ingestion. Structured, semi-structured, unstructured—every signal captured. |
Limited connectors, rigid schemas. 60–80% of enterprise data stays siloed. | Content to be added | FirstHive doesn’t just collect data, it ensures no insight is left behind. |
| RESOLVE Multi-tiered resolution with deterministic + probabilistic logic + persistent IDs. |
One-size deterministic matching → duplicates, fragmented profiles, compliance blind spots. | Content to be added | FirstHive goes beyond merging—it creates trustworthy, adaptive identities. |
| EVOLVE Dynamic, real-time profiles enriched with behavioral, lifecycle, and predictive attributes. |
Static golden records that decay and conflict over time. | Content to be added | FirstHive doesn’t just unify profiles—it keeps them alive and evolving. |
| UNDERSTAND AI interprets journeys, predicts churn/upsell, maps household + account relationships. |
Stop at “who the customer is.” | Content to be added | FirstHive moves beyond identity—it unlocks intent and context. |
| ACTIVATE Direct activation into CRM, ad platforms, email, SMS, and call centers |
Insights stuck in dashboards, delayed execution. | Content to be added | FirstHive doesn’t just report insights—it drives revenue in real time. |
| Identity Layers | Traditional CDPs |
Composable CDPs |
FirstHive CDP + AI |
|---|---|---|---|
| INGEST Capture every interaction with schema-free ingestion, structured + unstructured data, and real-time updates. |
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| RESOLVE Multi-tiered resolution using deterministic + probabilistic logic, fuzzy matching, and ML-based rules. |
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| EVOLVE Dynamic profile enrichment with behavioral, lifecycle, and predictive attributes, plus historical tracking. |
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| UNDERSTAND AI interprets journeys, predicts churn/upsell, and maps household or account relationships. |
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| RECONCILE Multi-step merge control resolves every incoming data record and unifies them into compliance-ready customer profiles with full history. |
Traditional CDPs: Limited connectors, rigid schemas. 60–80% of enterprise data stays siloed.
FirstHive: Schema-free ingestion + 750+ connectors. Structured, semi-structured, unstructured—every signal captured.
FirstHive doesn’t just collect data, it ensures no insight is left behind.
Traditional CDPs: One-size deterministic matching → duplicates, fragmented profiles, compliance blind spots.
FirstHive: Multi-tiered resolution with deterministic + probabilistic logic + persistent IDs. Context-aware, 25% higher accuracy.
FirstHive goes beyond merging—it creates trustworthy, adaptive identities.
Traditional CDPs: Static golden records that decay and conflict over time.
FirstHive: Dynamic, real-time profiles enriched with behavioral, lifecycle, and predictive attributes.
FirstHive doesn’t just unify profiles—it keeps them alive and evolving.
Traditional CDPs: Stop at “who the customer is.”
FirstHive: AI interprets journeys, predicts churn/upsell, maps household + account relationships.
FirstHive moves beyond identity—it unlocks intent and context.
Traditional CDPs: Insights stuck in dashboards, delayed execution.
FirstHive: Direct activation into CRM, ad platforms, email, SMS, call centers → 40% higher ROI.
FirstHive doesn’t just report insights—it drives revenue in real time.
Problem:
Every click, form fill, and interaction creates data—but without proper identity stitching, it results in anonymous visitors, duplicate profiles, and fragmented identities. Enterprises struggle to tie together the same customer across email, phone, cookies, and devices.
Impact:
This fragmentation leads to lost leads, wasted ad spend, and missed engagement opportunities. High-value customers remain hidden in plain sight.
Outcome:
FirstHive’s deterministic + probabilistic ID stitching engine unifies identities with unmatched accuracy. From basic deterministic matches to advanced machine learning–driven models, enterprises can identify up to 25% more leads for targeted campaigns—while maintaining a reliable single source of truth.
Problem:
Conflicting, duplicate, or incomplete records erode trust. Teams waste time debating which data is “right” instead of making decisions. Scaling new data sources only makes the problem worse.
Impact:
Without reliable profiles, campaigns slow down, personalization suffers, and analytics lose accuracy.
Outcome:
FirstHive builds a golden record for every customer—using ETL pipelines and composable architecture.
30% faster campaign execution
Plug in new data sources without downtime
Flexible pipelines keep profiles accurate, complete, and actionable in real time
Problem:
Static customer profiles can’t keep up with evolving behaviors. You know “who” your customers are, but not what they’re likely to do next.
Impact:
This lack of foresight leads to missed upsell and cross-sell opportunities, untimely offers, and higher churn.
Outcome:
FirstHive enriches every profile with predictive attributes and behavioral insights. Marketers gain the ability to anticipate intent and deliver real-time personalization that drives growth—resulting in a 20% lift in upsell and cross-sell conversions.
Problem:
Even when insights exist, they often remain trapped inside siloed dashboards, with no seamless way to activate them across sales, marketing, and service channels.
Impact:
Valuable opportunities are lost, campaigns aren’t optimized, and revenue potential sits idle.
Outcome:
FirstHive closes the loop by activating insights directly into your ecosystem—across ad platforms, CRM, email, SMS, call centers, and beyond. By operationalizing the customer graph, enterprises achieve:
40% higher campaign ROI
Lower CPA and faster activation
Consistent, personalized experiences at every touchpoint
Everything you need to create a unified, accurate, and continuously evolving customer
profile that powers every business decision across your organization.
Deploy AI agents that continuously merge and deduplicate customer records across all touchpoints, using advanced probabilistic matching and machine learning to resolve identities with 99%+ accuracy—even with incomplete or conflicting data.
Agentic AI instantly consolidates data from 750+ sources, creating dynamic golden records that update in real-time as new customer interactions occur across digital and offline channels.
AI agents automatically detect and resolve data conflicts, standardize formats, and enrich profiles with missing attributes using contextual inference and external data sources.
Autonomous quality assurance agents continuously monitor profile accuracy, flag anomalies, and auto-correct inconsistencies while learning from data patterns to prevent future quality issues.
Create comprehensive customer profiles that include behavioral patterns, preferences, lifecycle stage, and predictive attributes—all maintained and updated autonomously by intelligent agents working 24/7.
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