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Transforming Buyer Journey, Data Accuracy & KPI Visibility with HubSpot

Company Name : OnIndus
Location : United States
Industry : Infrastructure Consulting
Goal : To transform a fragmented and unreliable HubSpot setup into a structured, automated, and data-accurate system that improves buyer journey visibility and KPI reliability.
OnIndus
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+250%

Lead Growth

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40%

Faster Sales Cycle

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3.8x

ROI Deliveres

Summary :

Transforming Buyer Journey, Data Accuracy & KPI Visibility with HubSpot

OnIndus partnered with Straight Growth to eliminate data discrepancies, streamline their buyer journey, and establish a reliable KPI tracking system within HubSpot. Through a comprehensive portal audit and solutions, we transformed their fragmented processes into a structured, automated, and performance-driven system.

This case study explores the operational challenges OnIndus faced, the HubSpot solutions implemented, and the impact of aligning sales and marketing under one unified process.

Who They Are

OnIndus is a leading PMIS consulting and asset management advisory firm focused on enabling sustainable infrastructure development.They specialize in project management automation, custom dashboards, data migration, system integrations, CMMS support, BIM services, and asset advisory.

With a strong emphasis on data-driven infrastructure planning, OnIndus helps organizations enhance operational visibility and long-term asset performance.
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The Challenges

Despite having HubSpot in place, OnIndus faced multiple structural and data-related challenges that limited visibility and performance accuracy:

01
Manual tagging and contact updates leading to inconsistent data
02
Scattered databases with duplicate and overlapping properties
03
Contacts and deals not properly synced
04
No standardized lifecycle stage definitions
05
Non-qualified leads being directly converted into deals
06
Inflated or inaccurate KPIs due to process gaps
07
Marketing event tracking inconsistencies
08
Lack of clarity on sales ownership and responsibilities
09
No centralized reporting structure for leadership visibility
The result?
Unreliable dashboards, misaligned sales-marketing collaboration, and unclear revenue forecasting.
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Solutions

Straight Growth conducted a detailed HubSpot portal audit to identify structural gaps, data inconsistencies, and workflow inefficiencies

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Lifecycle Stage Implementation:

We aligned sales and marketing by clearly defining lifecycle stages, qualification rules, and ownership. This ensured everyone followed the same buyer journey process. We standardized lifecycle stages and added automation to move contacts correctly. Deals were created only after proper qualification to avoid premature pipeline entries. We also implemented lost deal re-engagement and trained the team. This improved funnel clarity and reduced unqualified deals.
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Data Sanitization & Hygiene:

We identified duplicate properties and inconsistent data usage across the portal, which was affecting reporting accuracy. We cleaned the database, merged duplicate fields, and standardized key properties like Industry, Events, Original Source, and Persona. Automation and a Data Quality Dashboard were added to maintain clean, reliable data moving forward.
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KPI-Focused Reporting:

After fixing data and lifecycle stages, we rebuilt the reporting structure. We created dashboards for sales, marketing, leadership, and individual performance tracking.This allowed leadership to track KPIs clearly and rely on accurate performance reports.
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Key Results & Performance Impact

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Faster Website
Load Speed

0%

Organic Traffic
Growth

0%

Increase in
Qualified Leads

The Result

OnIndus's Success Journey Driven by Straight Growth.

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Funnel Clarity

Clear visibility from Lead to MQL/SQL to Deal stages, improving qualification accuracy and overall pipeline transparency.

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Time Efficiency
Automation reduced manual updates, saving team time and ensuring consistent lifecycle progression across records.
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Trusted Reporting
Leadership now tracks accurate KPIs through structured dashboards aligned with defined lifecycle and sales processes.
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Data Accuracy
Standardized properties and duplicate removal improved data consistency and created a reliable single source of truth.

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