Data Studio
Data Studio functionality within the RGI Platform allows marketing and RevOps to easily build and tune predictive models in a no code environment to score and segment high propensity accounts, buyers, and customers using first- and third-party data.
Prioritization Challenges
- Time consuming, simple lead scoring not tied to historical outcomes.
- Blackbox scoring in vendor models that fail to explain a high or low score.
- Legacy static scoring that ignores crucial market and pipeline changes.
- Unwieldy to invoke and update workflows across CRM and GTM systems.
Data Studio Modeling Delivers
- Predictive scoring and segmentation modeling using deep firmographic, demographic, and technographic data and your first-party data.
- Easily create and improve predictive models in a no code environment that connects and applies AI-driven historical CRM insights.
- Learns historical patterns of specific behaviors to continuously rank leads, accounts, and product use that are highly likely to convert.
- Generates transparent scores for continuous improvement and to enable sales and marketing to take engagement actions with confidence.
How to Make Predictive Modeling Smart, Precise, and Efficient
Data Studio provides AI-driven GTM functionality to enable lead and account scoring, gain customer fit and product use insights, and optimize marketing and sales action by democratizing predictive modeling that’s easy to embed in CRM and GTM tools.
Predictive Modeling
Integrated Scoring
Scoring Explainability
MQL, MQA, and PQL Ranking
Agentic AI Readiness
How Data Studio is Applied to Accelerate GTM Success
Data Studio agent provides explainable, no‑code predictive modeling that applies first‑party customer win/loss and behavioral data with AI-driven firmographic, technographic, and spend insights to score high-propensity leads, accounts, and users to:
- Identify best-fit leads so reps know who, why, and how to engage next.
- Prioritize high-intent accounts to focus ABM and outbound resources.
- Cut wasted effort on low-fit prospects and unlock conversions faster.
- Continuously train and easily tune models to sharpen GTM performance.
- Align marketing and sales on data-driven targeting, outreach, and follow-up.
- Sync scores and drive segmentation into CRM and GTM tools and AI agents.
Explore Where Data Studio Drives Marketing and Sales Results?
Signal-Based Account Prioritization
- Prioritize accounts showing in-market buying signals to engage accounts more effectively.
Maximize ABM Performance
- Elevate ABM performance by combining deep ICP and account insights with contextual buyer intent to focus campaigns and outreach on high value accounts likely to convert.
Inbound Marketing Automation
- Automatically segment and score leads applying ICP and account insights with real-time intent, behavioral, and firmographic signals.
Predictive Account Targeting, Prioritization, and Scoring
- Use AI-driven propensity modeling with dynamic scoring across fit, intent, and engagement signals to accelerate targeting, focus seller time on high-likelihood pipeline, increase conversion, and tighten forecasting.
Customer Success Story
How Gusto Identified 35% of Leads Their Sellers Should Not Touch
Gusto provides a cloud-based payroll, benefits, and human resource management solution for businesses. Depending on the inbound lead, they execute a self-serve provisioning experience as well as a high touch sales model. By connecting the HG Platform to their first-party data, they were able to leverage predictive scoring to identify 35% of inbounds to push to self-serve, refocusing valuable sales engagement.
What Are Key Features of the Data Studio Agent
No Code, Predictive Modeling
Manually maintaining lead, account, and user scores with simple logic is no longer competitive. HG makes AI-driven, sophisticated predictive modeling possible for any B2B organization, without requiring data scientist expertise. RevOps and marketing leaders can work in a no-code environment to combine their first-party data and in-depth ICP parameters to HGs extensive firmographic, technographic, IT spend, and buyer intent insights.
This allows for real-time signal assessment of account, prospect, and product use behavior against historical engagement and win/loss details as well as market- and account-level data to rank which account, prospects, and users are more likely to buy.
Buyer-Level Scoring
Score contacts on an individual’s likelihood to buy using behavioral, firmographic, technographic, and product use signals, then push rankings into CRM and sales tools.
Sellers focus outreach on the people most likely to convert within each account, improving engagement, enhancing, productivity and reducing noise from unqualified contacts.
Account Propensity
Model account-level propensity by combining HG granular market and account data with first-party engagement and historic win patterns into a data-driven, transparent score. Use these scores to drive territory design and ABM targeting so GTM plans align with where revenue is most likely to land.
Multi-Model Scoring
HG predictive scoring can apply multiple ML models to allow for AI-powered scores to be more accurate predictors and adapt to varying business needs by applying the strengths of different models to improve effectiveness.
Using a company’s first-party data, such as historical CRM data, engagement data, and real-time behavior signals, and HG’s AI-driven fabric market, account, technology, and intent insights, this approach allows the combination of different individual model types to generate a final score. This can apply to distinct segments, product use, or business outcomes such as cross-sell and up-sell.
Our AI-Powered Revenue Growth Intelligence Solutions
FAQ: Data Studio
Is the Data Studio a separate product or is it part of the Revenue Growth Intelligence Platform?
The Data Studio agent is a set of AI assistance functionality for predictive modeling that is part of our Revenue Growth Intelligence Platform.
Does the Data Studio Agent incorporate a company’s first-party and third-party data?
The Data Studio agent, as part of the RGI platform, does incorporate an organizations first-party data such as account data, win/loss data, engagement data, and website visitor data. It combines this first-party data with data and signals from third party tools as well as HG’s Revenue Growth Intelligence Fabric market, account, and intent insights.
Can the predictive scoring be used and replace the conventional scoring within CRMs and can it also be used by other GTM tools and AI agents?
The predictive scores from the Data Studio Agent can be easily integrated into popular CRMs such as Salesforce and Hubspot. It also supports popular GTM tools such as Salesloft and Gong. Data Studio interoperability is well documented, allowing step-by-step native integration.
Do I need to have data scientist or data analysis background to use Data Studio agent features?
The Data Studio agent within the HG Revenue Growth Intelligence platform offers predictive modeling in a no-code environment that is AI-assisted. The functionality has supporting documentation and examples that allow RevOps and MarketingOps teams to take full advantage of its capabilities.
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