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Smarter GTM decisions. Fewer tools. No compromises.
The average go-to-market (GTM) tech stack in 2025 is overflowing.
There’s one tool for lead scoring. Another for churn prediction. A third for pipeline forecasting. Add in legacy dashboards and one-off analytics tools, and you’ve got a bloated, expensive mess — slowing down decisions and eating up budget.
Every tool once made sense. But together? They’re dragging your team down.
If you’re a CIO rethinking your stack for speed, simplicity, and predictive power, here are six areas where Forwrd helps you cut the bloat — without losing what matters.
Replace with: Forwrd’s virtual data access layer
Joining data from Salesforce, HubSpot, and Snowflake doesn’t have to mean months of engineering. Forwrd’s virtual layer connects your GTM sources without moving or duplicating data — giving you a unified view, instantly.
Replace with: Forwrd’s built-in Hygiene Agent
Unstandardized data quietly breaks everything. One customer had over 60,000 job title variations in Salesforce. Forwrd’s Hygiene Agent reduced that to 30 — boosting clarity and predictive accuracy with zero manual cleanup.
Replace with: Embedded scoring inside your CRM
Forwrd trains lead and account scoring models on your full GTM data — and pushes results directly into Salesforce or HubSpot. No sync issues. No extra tools. Just better prioritization where teams already work.
Replace with: CS risk scoring trained on unified data
Customer Success shouldn’t need another login to assess churn risk. Forwrd’s models use unified behavioral, usage, and engagement data to flag risks early — so you can act before it’s too late.
Replace with: Predictive forecasting inside Forwrd
Ditch the guesswork. Forwrd replaces manual spreadsheets and static dashboards with adaptive forecasting models that evolve with your pipeline. Always on, always learning — no BI bottlenecks required.
Replace with: Forwrd’s virtualized modeling engine
Custom modeling projects are slow and resource-heavy. Forwrd’s engine lets you build and deploy explainable models trained on your data — no heavy lift, no data science bottleneck.
This isn’t about trimming for the sake of it. It’s about focusing on what moves the needle — and eliminating what doesn’t. Forwrd helps you collapse five tools into one predictive layer, giving your GTM teams speed, clarity, and confidence.
📉 Fewer tools
⚡ Faster decisions
🧠 Cleaner data
💡 Smarter outcomes
If you’re planning budgets, rethinking architecture, or making the case for simplification — ask the question CIOs across SaaS are already asking:
What can we eliminate by adding Forwrd?