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Key Features
AI-Powered Paid Media Agent for spend optimizationEmail Marketing Optimization Agent with real-time analysisData Quality Grader for marketing automation and CRM dataMetrics Hub to unify cross-channel marketing performance dataAI-Powered ICP Analytics to identify and find best-fit customersDiGGi-GPT for natural language querying of marketing dataSchema Impact Agent for autonomous structured data generation and SEONo-code connectors for various marketing and CRM platforms
Limited Attribution Models (First Touch, Last Touch, Linear)
Martech Grader
CRM Marketing-Automation AdTech Grader
Google Ads FB Grader
Product Consultant for Onboarding
Growth
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All the Features in ‘Boost’
Additional Dashboards
Cohort Report
Full Funnel SEO Dashboard with – Revenue from Organic Keywords Attribution
Social Media ABM Reporting & Attribution
Content Performance
Custom Reporting
DiGGrowth – InsightSegment Manager
Tracking Offline Campaigns
Sales Activity
All Attribution Models (Last Non Direct, U Shape, W shape, Full Path Model, Data Driven Attribution 1, Data Driven Attribution 2, Custom Attribution, Self-reported Attribution)
A/B Testing – Revenue Impact
Salesforce App for Bi-Directional Sync
Live Chat Touchpoint Support
Dedicated Product Consultant
Dedicated Slack Support (or whichever instant communication channel you prefer)
Custom Reports & Integration ETL Support, Powered by DiGGrowth, to Consolidate All Your Data into Your Data Warehouse (whichever cloud vendor you prefer)
DiGGrowth is an AI-driven marketing analytics and attribution platform designed to help businesses optimize their go-to-market (GTM) strategies, improve data quality, and gain real-time revenue insights. It leverages 'Agentic AI' to automate and enhance various marketing functions, providing a unified source of truth for all marketing data.
The platform is built for C-suites (CEOs, CMOs, CIOs, CROs), performance marketers, RevOps teams, and marketing agencies. It aims to connect marketing activities directly to revenue, allowing users to make data-driven decisions, optimize spend across channels, and identify their ideal customer profiles more effectively. DiGGrowth integrates with various marketing and CRM platforms through no-code connectors, consolidating data for comprehensive analysis and actionable insights.
Key benefits include accelerated pipeline velocity, efficient spend management, clear ROI across channels, improved data quality, and automated optimization of marketing campaigns. It acts as a 'revenue co-pilot,' enabling teams to scale their marketing efforts without necessarily increasing headcount, and provides confidence in the numbers shared at the board level.
How does DiGGrowth's Paid Media Agent optimize ad spend across various digital channels?
The Paid Media Agent continuously analyzes ad performance data, dynamically adjusts bids, and targets audiences more effectively. This process maximizes return on investment across different digital advertising platforms.
What specific types of data does the Data Quality Grader analyze within marketing automation platforms or CRMs like Salesforce?
The Data Quality Grader provides a high-level overview of data quality and allows users to drill down into lead data. It also assesses the quality of opportunity and contact data, enabling comprehensive database analysis.
How does the Schema Impact Agent enhance organic reach and search engine visibility?
The Schema Impact Agent delivers autonomous, intelligent structured data that transforms content into a machine-readable, discoverable asset. This helps content win rich results in search engines and boosts organic reach.
What is the primary function of DiGGi-GPT, and how does it differ from traditional dashboards?
DiGGi-GPT allows users to ask marketing data questions and receive clear, actionable answers in seconds. It operates without the need for dashboards, code, or delays, providing direct insights.
Which specific marketing data sources can be unified using DiGGrowth’s Metrics Hub?
The Metrics Hub unifies marketing performance data from web, email, CRM, social, and ad platforms. This provides real-time visibility into key metrics and cross-channel performance.
What new functionality has DiGGrowth recently introduced to analyze customer engagement and retention over time?
DiGGrowth has introduced Cohort Reporting functionality, which provides insights into customer behavior and campaign effectiveness over time. This allows users to uncover patterns related to engagement and retention.