Avina

Product Introduction

1. Definition: Avina is an Agentic Go-to-Market (GTM) platform and AI-driven sales orchestration engine designed for B2B organizations. It functions as a comprehensive AI agent platform that unifies intent data collection, lead enrichment, and automated outreach. Technically categorized as a Sales Intelligence and Engagement platform, Avina leverages large language models (LLMs) to interpret complex buying behaviors and automate the "Find-Prioritize-Automate" workflow for revenue teams.

2. Core Value Proposition: Avina exists to solve the inefficiency of "cold outbound" sales by shifting the focus to "warm inbound" opportunities driven by real-time buying signals. By monitoring a company's Total Addressable Market (TAM) across the web, LinkedIn, job boards, and first-party website data, Avina identifies high-intent accounts that are actively in-market. The platform's primary value lies in its ability to translate raw digital signals into actionable sales opportunities, ensuring sales representatives engage with the right persona at the optimal time with a personalized message.

Main Features

1. AI Signals Agent: Unlike traditional intent platforms that rely on static keyword matching, Avina’s AI Signals Agent uses natural language processing (NLP) to understand the context of buying triggers. Users can describe specific buying behaviors in plain language—such as "companies launching new features," "tech stack pivots," or "recent executive leadership changes"—and the agent scans SEC filings, news, and social media to identify these subtle moments. This context-aware engine captures intent that fixed-signal platforms often miss.

2. X-Ray Web Visitor Identification: This feature addresses the "98% anonymous traffic" problem. Avina utilizes a proprietary X-Ray Pixel that aggregates data from multiple identity providers, including RB2B, Vector, and Clearbit, into a single unified stream. It employs device fingerprinting, reverse IP lookup, and cookie stitching to de-anonymize website visitors, connecting page-level interactions to specific accounts and enriched contact records in real-time.

3. Waterfall Enrichment Engine: To ensure data accuracy and high deliverability, Avina employs a "waterfall" logic for contact enrichment. When a lead is identified, the system cascades through multiple premium data providers to find verified business emails, mobile phone numbers, and LinkedIn profiles. If the first provider lacks a specific data field, the system automatically queries the next, resulting in a significantly higher completion rate for contact records without manual intervention.

4. AI Account Scoring and ICP Filtering: Avina provides dynamic lead prioritization by scoring accounts against a user-defined Ideal Customer Profile (ICP). The platform uses AI to rank accounts based on signal strength (intent), company fit (firmographics), and historical engagement. These scores refresh daily as new signals fire, allowing teams to maintain a live, prioritized pipeline within their CRM.

5. Automated AI SDR and Outreach: Once high-intent leads are identified and enriched, Avina can trigger automated, personalized outreach. The platform’s AI Outbound Agent drafts and sends sequences that reference specific signals (e.g., "I noticed your team is hiring for X role"). It integrates natively with Outreach, HubSpot, and Salesforce, and can also sync hyper-targeted audiences to ad platforms for ABM campaigns.

Problems Solved

1. High Volume of Cold, Low-Conversion Leads: Many sales teams waste resources on "cold" prospecting with low response rates. Avina solves this by providing "warm" alerts based on intent, ensuring reps only engage with accounts showing active interest or internal changes that necessitate a new solution.
2. Anonymous Website Traffic: Marketing teams often struggle to attribute website visits to specific accounts. Avina identifies these visitors, allowing sales to follow up with accounts that have already engaged with their brand's digital assets.
3. Fragmented GTM Tech Stacks: Traditionally, teams need separate tools for intent data, enrichment, and sequencing. Avina centralizes these functions, reducing "tool fatigue" and data silos by acting as a single source of truth for in-market signals.

Target Audience:

• B2B Sales Leaders (VP Sales, CROs): Seeking to increase "quality at-bats" and improve win rates.
• Revenue Operations (RevOps) Managers: Looking to streamline the GTM stack and automate data hygiene.
• Growth Marketers: Focused on Account-Based Marketing (ABM) and identifying high-intent website traffic.
• SDR/BDR Teams: Needing prioritized daily task lists based on real-world buying triggers.

Use Cases:

• Champion Tracking: Automatically alert sales when a previous customer (champion) moves to a new company within the ICP.
• Hiring Surges: Identifying accounts that are aggressively hiring in departments related to the product’s utility.
• Tech Stack Changes: Targeting companies that have just added or removed a competitor’s software from their website.
• Pricing Page Intent: Triggering immediate Slack alerts when a high-value account visits the pricing or documentation page multiple times.

Unique Advantages

1. Differentiation (Custom vs. Fixed Signals): While competitors like 6sense or ZoomInfo provide a predefined list of intent categories, Avina allows users to build "Custom Signals" using plain English descriptions. This flexibility allows for highly niche targeting that isn't possible with "off-the-shelf" intent data.
2. Key Innovation (Multi-Provider Aggregation): Avina’s unique "Identity Aggregation" approach—combining RB2B, Clearbit, and others into one pixel—removes the need for companies to purchase multiple expensive visitor-ID subscriptions. This "waterfall" approach to both identity and enrichment ensures the highest possible data coverage in the industry.
3. Speed to Value: With a 30-minute setup time and 7-day free trial, Avina lowers the barrier to entry compared to enterprise-grade GTM platforms that require months of implementation and configuration.

Frequently Asked Questions (FAQ)

1. What is an Agentic GTM Platform? An Agentic GTM Platform is a sales system that uses AI agents to autonomously handle the end-to-end process of identifying, qualifying, and engaging leads. Unlike traditional software that requires manual input at every stage, Avina's agents interpret buying signals and trigger the next logical step in the sales cycle—such as sending an email or updating a CRM—without human intervention.

2. How does Avina identify anonymous website visitors? Avina uses an "X-Ray Pixel" that combines various identification technologies, including reverse IP lookup, device fingerprinting, and first-party cookie data. By aggregating data from providers like RB2B and Clearbit, it can identify the specific company and often the specific individual browsing the site, even if they haven't filled out a form.

3. Does Avina integrate with existing CRMs like Salesforce and HubSpot? Yes. Avina features bi-directional, real-time synchronization with Salesforce and HubSpot. It can automatically create new account and contact records, update lead scores, and push signal history directly into the CRM timeline so reps have full context within their primary workspace.

4. What is "Waterfall Enrichment" in B2B sales? Waterfall enrichment is a data strategy where the platform queries multiple data sources in a specific sequence. If the primary data provider lacks a contact’s email or phone number, Avina automatically "falls through" to a second or third provider. This ensures maximum data density and accuracy for outbound campaigns.

5. How is Avina different from tools like Clay or Apollo? While tools like Clay are powerful for data orchestration and Apollo for database access, Avina focuses specifically on "Agentic" intent. Avina doesn't just provide a list of names; it identifies the moment of intent (the signal), scores that moment with AI, and executes the outreach automatically, functioning more like an automated Sales Development Representative than a static database.