Empower your business teams to build predictive machine learning models without coding to identify growth opportunities, reduce churn, and optimize marketing ROI.
Forwrd
Qualify leads, identify churn risks, and uncover expansion opportunities by deploying no-code predictive models directly into your GTM tools and workflows.
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About Forwrd
Forwrd is a predictive lifecycle platform designed to empower revenue-driven data and go-to-market (GTM) teams. It serves as a bridge between raw customer data and actionable front-line decisions by allowing users to build and deploy advanced machine learning models without writing a single line of code. Recently acquired by Pendo, the platform aims to replace fragmented tools and manual data handoffs with a unified system that automates the entire predictive pipeline. From data integration and enrichment to real-time model deployment, Forwrd helps organizations focus their energy on the most promising leads and accounts. The platform operates through a comprehensive six-step workflow: Connect, Enrich, Analyze, Predict, Activate, and Learn. It integrates seamlessly with popular GTM systems like HubSpot, Salesforce, and Marketo, as well as data warehouses such as Snowflake and BigQuery. Forwrd utilizes purpose-built AI agents to automatically clean, unify, and prepare data for modeling, ensuring high-quality inputs. Once a model is generated, the platform provides real-time predictions—such as lead scores or churn risks—and pushes these signals directly back into the tools sales and marketing teams use daily, ensuring insights are actionable and immediate. This platform is ideal for Revenue Operations (RevOps), Marketing Operations, and Customer Success leaders who need to scale their impact without relying heavily on a dedicated data science department. It is particularly valuable for B2B SaaS companies that possess high volumes of product usage data but struggle to turn that information into reliable revenue forecasts. Data managers and BI professionals also benefit from the reduced manual workload associated with data preparation and model maintenance, allowing them to focus on higher-level strategic initiatives rather than technical plumbing. What sets Forwrd apart is its commitment to a completely no-code user experience combined with high-accuracy outputs. While traditional lead scoring often relies on rigid, static rules that quickly become outdated, Forwrd uses machine learning to adapt to changing business environments. It addresses the common "build vs. buy" dilemma by offering the flexibility of custom modeling with the implementation speed of a SaaS solution. By embedding predictive alerts directly into existing workflows via APIs and webhooks, Forwrd ensures that data insights drive measurable business outcomes right where the work happens.
Forwrd pros & cons
Pros
- Allows GTM teams to build machine learning models without any coding or technical background.
- Supports a wide range of revenue-focused use cases including lead, account, and PQL scoring.
- Reported accuracy of up to 75% for complex tasks like churn prediction according to user testimonials.
- Integrates with a robust stack of industry-standard tools like Salesforce, HubSpot, and Snowflake.
- Enables real-time activation of data insights through webhooks and dedicated Slack alerts.
Cons
- The Growth plan is restricted to a single integration specifically for HubSpot data.
- Access to Data Warehouse (DWH) and advanced analytics integrations is limited to the Enterprise tier.
- Full bi-directional sync and SSO capabilities are not available on the Growth or Pro plans.
- Pricing is not transparently listed and requires booking a demo for all plan levels.
Forwrd use cases
- Marketing operations teams can automate PQL and lead scoring to prioritize high-intent prospects and improve conversion rates.
- Customer success managers can use predictive churn models to identify at-risk accounts based on product usage and implementation status.
- Sales operations leaders can optimize territory management and opportunity scoring to focus reps on the most winnable deals.
- RevOps professionals can uncover expansion and upsell opportunities within existing accounts using automated predictive modeling.
- Growth teams can predict lead-to-SAL (Sales Accepted Lead) transitions to better align marketing spend with sales outcomes.
Forwrd features
- automated data cleaning
- churn risk identification
- territory management automation
- predictive alerts via slack/email
- bi-directional crm sync
- ai-powered data enrichment
- real-time lead scoring
- no-code predictive modeling
Forwrd pricing
Is Forwrd free? No, Forwrd doesn't offer a free plan.
Growth
Price varies
- Unlimited seats
- 1 HubSpot integration
- Unlimited correlation analysis
- Up to 40,000 monthly predictions
- Unlimited models
- Real-time prediction via API & Webhook
- In-app support
Pro
Price varies
- Unlimited seats
- 2 Standard integrations
- Unlimited correlation analysis
- Up to 100,000 monthly predictions
- Unlimited models
- Real-time prediction via API & Webhook
- Onboarding & training
- In-app support
Enterprise
Price varies
- Unlimited seats
- 2+ Standard, DWH, and analytics integrations
- 100,000+ monthly predictions
- Unlimited models
- Bi-directional sync with unlimited runs
- Single sign-on (SSO) with SAML
- Email & Slack alerts
- Dedicated CSM
Forwrd FAQs
Can I build models without coding knowledge?
Yes, Forwrd is a no-code platform specifically designed for GTM leaders to build, refine, and deploy machine learning models without technical expertise. The interface allows users to manage the entire data lifecycle from integration to activation.
What tools does Forwrd integrate with?
Forwrd integrates with a variety of GTM and data tools including HubSpot, Salesforce, Marketo, Mixpanel, BigQuery, Snowflake, and Slack. It supports both standard CRM integrations and more advanced data warehouse sources.
How accurate are the predictive models?
While accuracy depends on your specific data, users have reported reaching up to 75% accuracy for critical models like churn prediction. The platform also continuously learns and retrains models based on real-world outcomes to maintain precision.
How are predictions delivered to the sales team?
Predictive signals are pushed directly into your existing workflows via API, webhooks, or bi-directional sync. You can also set up real-time alerts through email and Slack to ensure the front line can act on insights immediately.
Ratings & reviews
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