The Client

Monta is an all-in-one EV charging platform that powers the entire ecosystem, from drivers and charge point owners to installers and manufacturers. Operating in a high-growth, fast-paced industry, Monta’s mission is to provide the transparent and reliable infrastructure needed to scale electric mobility globally.

The Challenge

As Monta expanded its global footprint, the internal sales operations faced significant growing pains. The rapid influx of leads and deals led to "data debt," making it difficult for leadership to gain a clear picture of performance.

Key challenges included:

• Obscured Data Visibility: Information within HubSpot was disorganized, making it difficult for stakeholders to extract actionable insights or understand the health of the business.

• Forecasting Volatility: Due to inconsistent data entry and lack of standardization, revenue forecasts were often inaccurate, leading to challenges in resource allocation and strategic planning.

• Fragmented Pipeline Logic: Deal stages were not clearly defined or aligned with the actual buyer journey. This resulted in "stagnant" deals and a lack of flow, as there were no formal rules for how a deal should progress or exit a stage.

The Solution

RevOps Automated partnered with Monta to conduct a comprehensive Sales Pipeline and Revenue Optimization project. The goal was to transform HubSpot from a simple database into a high-performance engine for growth.

1. Data Sanitization & UI/UX Optimization

We performed a deep "clean up" of the HubSpot environment. This involved archiving legacy data, standardizing naming conventions, and customizing CRM views for different user roles. By removing the "noise," we ensured that sales reps and managers could focus on the most important tasks without being overwhelmed by cluttered dashboards.

2. High-Precision Forecasting

We implemented a robust forecasting model built on historical data and real-time deal movement. By aligning HubSpot’s forecasting tools with Monta’s specific monthly and quarterly goals, we provided leadership with a "source of truth" that accounted for weighted probabilities and historical conversion rates.

3. Pipeline Engineering & Governance

The pipeline was completely restructured to mirror the reality of the sales cycle. We introduced strict Entry and Exit Criteria for every stage.

• Validation Rules: Required fields were implemented to ensure no deal could move forward without critical information (e.g., Budget, Decision Maker identified).

• Stage Automation: We automated the transition of deals based on specific triggers, reducing manual admin work for the sales team.