Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Poggio equips go-to-market teams with AI-driven, tailored points of view that enable every member—human or AI—to speak in the customer’s language and lead conversations with strategic value. By automating account research and intelligence at scale, Poggio frees sales teams to focus on addressing their customers’ toughest problems. The platform ensures consistent, exec-level messaging aligned with your organization’s sales framework, preventing disjointed communications that can undermine trust and positioning. It supports value frameworks like Command of the Message and Value Pyramids, embedding your best sales assets such as case studies and battle cards into every interaction. Poggio facilitates collaboration between people and AI agents, enabling them to work from a shared perspective across pre- and post-sale stages. Trusted by leading revenue organizations, Poggio accelerates speed to revenue by helping teams act as true strategic partners. The platform also enables scalable enablement delivery and intelligence transfer across territories and teams. Overall, Poggio modernizes enterprise sales by integrating human and AI efforts into a unified, value-driven approach.
Description
The SaaS landscape is in full swing! Equip your customer-facing teams with the essential tools they need to transition users from trial to long-term loyalty. Enhance your entire product-led ecosystem with actionable insights on product engagement. Ensure your teams are well-informed and avoid operating in uncertainty! There’s no need for an additional CRM; just opt for a more intelligent one. Provide your go-to-market teams with the critical engagement data necessary for their roles, while steering clear of investing in another cumbersome CRM. In today’s SaaS environment, it's all about experiencing the product before making a purchase. Replace traditional MQLs with a lead qualification system that prioritizes prospects likely to convert. Sherlock monitors engagement and activation trends over time, allowing your Sales team to concentrate on product-qualified leads rather than pursuing unproductive paths. Sherlock converts all in-app interactions into an engagement score, offering a clear ranking of your most and least engaged users. Additionally, when there are multiple users on a single account, Sherlock scores engagement at the account level too, ensuring a comprehensive view of user activity. This innovative approach empowers teams to make data-driven decisions and enhances overall customer satisfaction.
API Access
Has API
API Access
Has API
Integrations
Salesforce
Appcues
HubSpot CRM
Intercom
Pipedrive
Segment
Slack
Integrations
Salesforce
Appcues
HubSpot CRM
Intercom
Pipedrive
Segment
Slack
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$199 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Poggio Labs
Founded
2021
Country
United States
Website
poggio.io
Vendor Details
Company Name
Sherlock
Country
United States
Website
www.sherlockscore.com
Product Features
Sales Intelligence
CRM Integration
Data Cleaning
Data Enrichment
Data Import/Export
Data Mining
Data Verification
Email Integration
Lead Scoring
List Building
Performance Management
Pipeline Management
Predictive Modeling/Analytics
Prospecting Tools
Reporting/Analytics
Sales Forecasting
Product Features
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation