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CASE STUDIES

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Sectorem

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CASE STUDIES

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Sectorem

Digitalizing Deal Flow: A Custom M&A Marketplace & Management Platform for Sectorem

See how we partnered with Sectorem to build a custom M&A marketplace featuring algorithmic matching, GPT-powered outreach automation, and a streamlined admin workflow to connect buyers with ready-to-sell companies.

See how we partnered with Sectorem to build a custom M&A marketplace featuring algorithmic matching, GPT-powered outreach automation, and a streamlined admin workflow to connect buyers with ready-to-sell companies.

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CLIENT

Sectorem

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TIMELINE

5 Weeks

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SERVICES

Web App Development

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OVERVIEW

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OVERVIEW

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OVERVIEW

Bridging the Gap Between Data and the Deal

Sectorem is a next-generation Mergers and Acquisitions (M&A) platform designed specifically for buyers ranging from private equity firms to strategic acquirers. While the M&A industry is data-rich, it often lacks actionable insights regarding a seller's intent. Sectorem sought to move beyond static lists of company data (revenue, EBITDA, region) by creating a dynamic marketplace that identifies "readiness to sell."

We partnered with Sectorem to build a comprehensive ecosystem: a buyer-facing web application for prospecting, a sophisticated scoring algorithm to match needs with opportunities, and a custom administrative dashboard to facilitate the complex human-in-the-loop transaction process.

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CHALLENGES

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CHALLENGES

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CHALLENGES

The "Ready-to-Sell" Blindspot

The core inefficiency in the M&A space is not a lack of data, but a lack of timing signals. Buyers waste millions of dollars annually targeting companies that are simply not ready to sell. Existing tools like ZoomInfo or Grata provide excellent demographic data, but they fail to signal intent.

Furthermore, even when a target is identified, the outreach process is often broken. Buyers struggle to craft compelling initial contact messages, leading to low response rates and ineffective cold emailing strategies. Sectorem needed a solution that could filter noise, signal readiness, and automate the "hard problem" of initial engagement.

How can we transform static company data into a predictive deal pipeline that identifies seller readiness and ranks targets by their probability of closing?

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SOLUTIONS

Data-Driven Matching & Centralized Operations

To solve this, we moved away from generic lists and built a custom software ecosystem focused on intent and process management:

  • Proprietary Matching Algorithm: We developed a logic-based scoring engine that analyzes a selling company’s attributes (size, region, financial health) against the buyer’s specific profile. This generates a unique "Match Score" for every prospect, allowing buyers to instantly filter out noise and focus on high-probability targets.

  • The Buyer Portal: We created an intuitive interface where buyers can manage their deal flow. They can set buying profiles, view their curated list of scored companies, "like" prospects to save them, and formally "Request an Introduction" with a single click.

  • The Admin Command Center: To facilitate the human-led aspect of the business, we built a comprehensive Admin Dashboard. When a buyer requests an intro, the Sectorem team is instantly notified. The dashboard allows them to vet the request, initiate the offline outreach to the seller, process payments, and update the deal status (e.g., "Outreach Sent," "In Negotiation," "Closed"), keeping all parties aligned without spreadsheets.

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RESULTS

Optimized Deal Flow Management

The Sectorem platform successfully transformed a chaotic manual process into a streamlined digital workflow. By implementing the "Match Score," buyers are now able to prioritize their time on sellers who fit their specific criteria. Meanwhile, the custom Admin Dashboard gave the founder total visibility over the business, ensuring that no introduction request falls through the cracks and allowing for scalable management of the M&A lifecycle.

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Unified Platform

10x

Faster Lead Qualification

100%

Lifecycle Visibility