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AI-Powered Scoring

Actively AI

AI-driven scoring platform that maximizes pipeline value for GTM teams

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Category
Software
Ideal For
Sales Teams
Deployment
Cloud
Integrations
None+ Apps
Security
Enterprise-grade data protection and compliance standards
API Access
Yes, for CRM and data platform integration

About Actively AI

Actively AI is an intelligent machine learning-powered scoring platform founded by Stanford AI researchers that transforms how go-to-market teams drive revenue. The platform continuously ranks contacts and accounts in real-time, enabling Sales Development Representatives (SDRs) and Account-Based Marketing (ABM) teams to focus exclusively on high-impact opportunities. By intelligently analyzing behavioral engagement signals, historical conversion patterns, and account characteristics, Actively AI identifies which leads and accounts are most likely to convert. The platform integrates seamlessly into existing CRM workflows, providing predictive insights that guide prospecting strategies and resource allocation. When deployed through AiDOOS, the platform benefits from enhanced governance frameworks, optimized integration pathways with popular sales tools, and scalable infrastructure that supports growing organizations. This intelligence layer empowers teams to maximize pipeline velocity, improve win rates, and increase revenue per representative.

Challenges It Solves

  • Sales teams waste time pursuing low-probability leads and accounts with minimal conversion potential
  • SDRs lack actionable intelligence to prioritize contacts, leading to scattered outreach efforts
  • ABM programs fail without accurate account-level scoring and engagement tracking
  • Manual lead qualification is time-consuming and relies on biased assumptions rather than data-driven insights
  • Pipeline visibility gaps prevent teams from identifying and capitalizing on emerging opportunities

Proven Results

42
Increase in pipeline contribution from prioritized accounts
35
Reduction in sales cycle length through focused engagement
28
Improvement in SDR productivity and outreach efficiency

Key Features

Core capabilities at a glance

Real-Time Behavioral Scoring

Continuously updated lead and account rankings based on engagement signals

Identify sales-ready opportunities within minutes of engagement

Predictive Contact Prioritization

AI-powered ranking of individual contacts within target accounts

Focus outreach on decision-makers most likely to engage

Account-Level Intelligence

Comprehensive scoring for ABM program execution and account selection

Align sales and marketing on highest-value target accounts

Engagement Analytics Dashboard

Visual insights into contact and account behavior patterns

Track scoring changes and engagement trends in real-time

CRM Workflow Integration

Seamless integration with Salesforce and other CRM platforms

Embed AI insights directly into existing sales processes

Custom Scoring Models

Machine learning models tuned to your specific sales process and outcomes

Adapt scoring logic to unique business characteristics and markets

Ready to implement Actively AI for your organization?

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Real-World Use Cases

See how organizations drive results

SDR Prospecting Optimization
SDRs use Actively AI to identify and prioritize the highest-probability contacts within their assigned accounts, focusing cold outreach on decision-makers most likely to respond and engage.
45
Higher response rates and faster progression to sales
Account-Based Marketing Execution
ABM teams leverage account scores to select tier-one targets, coordinate multi-touch campaigns, and measure engagement effectiveness across the buying committee.
38
Improved ABM ROI and account penetration depth
Pipeline Velocity Acceleration
Revenue leaders use AI-powered scoring to ensure sales resources are allocated to opportunities with the highest conversion probability, reducing time spent on unqualified leads.
33
Faster deal closure and increased revenue per rep
Lead Quality and Qualification
Marketing and sales teams establish consistent lead qualification standards using predictive scoring, reducing the number of low-quality leads passed to sales.
29
Better lead-to-opportunity conversion rates

Integrations

Seamlessly connect with your tech ecosystem

S

Salesforce

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Native integration that brings AI scores and recommendations directly into Salesforce CRM, enabling sales teams to act on insights within their daily workflow

H

HubSpot

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Seamless sync with HubSpot CRM to surface contact and account scores in deal pipelines and contact records

L

LinkedIn Sales Navigator

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Enriches LinkedIn prospecting workflow with AI-powered account and contact scoring for targeted outreach

C

Clearbit

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Combines company intelligence and technographic data with Actively AI scoring for comprehensive prospect profiles

6

6sense

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Integrates account-level scoring with intent data to identify high-probability accounts showing active buying signals

O

Outreach

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Embeds AI scores into Outreach engagement sequences and cadence management for prioritized prospecting

S

Slack

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Delivers real-time notifications and scoring updates to sales teams via Slack for immediate action on emerging opportunities

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

See how it works for your team

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Alternatives & Comparisons

Find the right fit for your needs

Capability Actively AI CMS Signage GoSquad - Social Me… LeadQuizzes
Customization Excellent Good Good Excellent
Ease of Use Good Excellent Excellent Excellent
Enterprise Features Excellent Good Fair Good
Pricing Fair Excellent Fair Good
Integration Ecosystem Excellent Good Good Excellent
Mobile Experience Good Good Good Good
AI & Analytics Excellent Fair Good Good
Quick Setup Good Excellent Excellent Excellent

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Frequently Asked Questions

How does Actively AI determine contact and account scores?
Actively AI uses machine learning algorithms trained on your historical sales outcomes, engagement signals, company characteristics, and market data. The platform continuously learns from conversion patterns to refine and improve scoring accuracy over time.
How quickly can we see results after implementation?
Most teams see actionable insights within 2-4 weeks of setup. Initial scoring is available immediately upon data integration, with accuracy improving progressively as the platform learns from your sales team's interactions and outcomes.
What CRM systems does Actively AI support?
Actively AI integrates natively with Salesforce and HubSpot, with API access available for other CRM platforms. When deployed via AiDOOS, additional integration options and custom connectors are available to match your specific tech stack.
Can we customize the scoring model for our specific sales process?
Yes. Actively AI allows customization of scoring weights and parameters to reflect your unique business model, sales methodology, and market dynamics. Your scoring model can be adjusted based on team performance and evolving business priorities.
How does Actively AI handle data privacy and compliance?
Actively AI implements SOC 2 compliance, data encryption, role-based access controls, and comprehensive audit logging. The platform adheres to enterprise security standards and integrates with your existing data governance policies.
Is there a minimum team size or company size required to use Actively AI?
Actively AI scales across organizations of all sizes, from growing SDR teams to enterprise revenue organizations. The platform adapts to your company's structure, team composition, and growth trajectory.