Client Overview
Industry
Software Development
Region
Amsterdam, Noord-Holland, The Netherlands
Company Size
501-1000 Employees
Featured Solution
Sales Cloud Intelligence Automation with BuiltWith & Google Sheets Integration
About the Client
A Gartner® 2025 Magic Quadrant™ Leader, the client is a fast-growing Digital Asset Management (DAM) provider that helps global brands create, manage, and distribute top-tier digital assets seamlessly. With AI-powered efficiency, intuitive UI, and deep integrations, their platform streamlines marketing, strengthens brand identity, and drives business success. Trusted by 4,000+ brands, including Accenture, Wipro, Spotify, and AT&T, they deliver world-class content experiences at scale.
Disconnected Intelligence: The Challenge of Real-Time Sales Insights
With sales teams under pressure to engage the right prospects at the right time, having precise insights into a company's technology stack can be a game-changer. Yet, for this enterprise using Salesforce Sales Cloud, the lack of an automated, scalable system to track and analyze target accounts' technology landscapes created significant inefficiencies.
Their existing workflow led sales reps to manually research company websites, slowing down prospecting efforts and increasing the risk of missed opportunities. Without seamless integration into Sales Cloud, identifying potential leads based on technology fit was cumbersome and error-prone.
Challenges They Faced:
- Manual & Time-Consuming Research
- Siloed & Disconnected Insights
- Salesforce’s Limitation on Web Scraping
Data Without Direction: When Manual Efforts Hit a Wall
Initially, the client considered using a Python script to extract, analyze, and populate technology intelligence into Google Sheets. However, this approach required additional infrastructure, and maintenance, and lacked real-time collaboration capabilities—making it impractical for the client.
The Impact Of Manual Processes On Their Business Operations:
Information Overload Delayed Decision-Making
Sales reps had no efficient way to filter, summarize, and apply insights to their pipeline.
No Direct Integration with Salesforce
Even when relevant information was found, it had to be manually added to the CRM, creating delays and inefficiencies.
Longer Sales Cycles & Lower Win Rates
Without real-time triggers, the team reacted too late, extending deal cycles and reducing conversion rates.
With manual processes slowing them down, the client needed a smarter way to transform scattered data into timely, actionable sales intelligence.
Sales Cloud Enablement: Smarter Prospecting with Technology Insights
While Salesforce Sales Cloud offers powerful CRM capabilities, its REST APIs require complex setups for external data integration. The client needed a real-time, collaborative solution within Google Sheets for seamless access and sharing. Lacking in-house resources, they sought a cost-effective alternative. We delivered a streamlined workflow using Google Apps Script, ensuring secure and automated intelligence gathering within Google Workspace.
What Our Experts Executed
- Automated Intelligence Extraction: Used BuiltWith’s API to pull technology stack insights into Google Sheets instantly.
- Google Apps Script Automation: Built a lightweight, serverless solution using ES6+ JavaScript within Google Workspace.
- Seamless API & Data Processing: Fetched company websites, ran BuiltWith API calls, and structured data for instant analysis.
- Real-Time Insights: Delivered structured intelligence directly in Google Sheets, removing manual tracking.
- Smarter Prospecting with Technology Insights: Provided actionable technology insights that sales teams could leverage within Salesforce Sales Cloud to prioritize and engage high-potential accounts.
Data-Driven Sales Targeting at Scale
By bridging external technology insights with Salesforce Sales Cloud, this customized approach empowered sales teams with relevant insights, enabling them to identify opportunities faster and drive more informed sales strategies.
- 99.7% Time Savings – Time spent on data extraction cut from 10 hours to 12 seconds per 100 records.
- 100% Manual Effort Eliminated – Fully automated research, saving 10+ hours per dataset.
- 100% Data Accuracy – Removed human errors with API-driven technology tracking.
- 33% Better Targeting – Enhanced account prioritization with actionable insights.
Highlights
99.7%
Time Savings
100%
Manual Effort Eliminated
100%
Data Accuracy
33%
Better Targeting
Conclusion
“This solution has eliminated hours of manual effort and replaced guesswork with real-time, data-driven insights—allowing our sales team to act faster, smarter, and with absolute precision.”
Our Resources
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