---
title: "Case Study: SDR-Led GTM Blueprint Drives MQL→SQL Lift for eClinical Vendor"
description: SDR-Led GTM Blueprint Drives MQL SQL Lift for eClinical Vendor
image: https://tessarai.io/hubfs/SDR-Led%20GTM%20Blueprint%20for%20eClinical%20Vendor%201.png
---

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 November 24, 2025

# Case Study: SDR-Led GTM Blueprint Drives MQL→SQL Lift for eClinical Vendor

![Picture of Caroline Walton](https://app.hubspot.com/settings/avatar/13d28ce7d0ebaac4c7c8290133e7e089) By   Caroline Walton  ·   2 minute read

## ![SDR-Led GTM Blueprint for eClinical Vendor 1](https://tessarai.io/hs-fs/hubfs/SDR-Led%20GTM%20Blueprint%20for%20eClinical%20Vendor%201.png?width=800&height=480&name=SDR-Led%20GTM%20Blueprint%20for%20eClinical%20Vendor%201.png)

## Case Study: The 433% Pipeline Multiplier

**The Client:** Confidential eClinical vendor (Scale-up stage, Life Sciences).

**The Situation:** The organization's rapid growth was limited by a fragmented Go-To-Market (GTM) motion where **inbound MQLs were passed directly to 18 Account Executives (AEs)**. This absence of a dedicated intake layer led to an unacceptably low **MQL→SQL conversion rate of 12%**, signaling a massive leak in the top of the funnel. The priority was to establish a predictable, high-converting **2-stage sales motion** before investing in a costly outbound expansion.

**The Goal:**

1. **Accelerate MQL→SQL Conversion:** Achieve a significant, sustained increase in the conversion rate and establish a minimum baseline for GTM health.
2. **Establish Predictability:** Create defined GTM processes, clear Service Level Agreements (SLAs), and a reliable source of truth for pipeline tracking.
3. **Unlock Pipeline Capacity:** Drive a significant increase in Sales Accepted Leads (SALs) and new logo booked meetings.

### 🛠️ The RevOps Solution: Architecting a 2-Stage GTM

As the operator supporting Sales and Marketing Operations, the blueprint focused on **rewiring the intake flow and instrumenting the Lead-to-Opportunity lifecycle** in Salesforce. This was framed as a **definitions-first, visibility-always** approach.

#### 1. People: Launching the SDR Engine

- **Capacity Shift:** The inbound workflow was immediately shifted from 18 AEs to **two newly recruited and onboarded SDRs**.
- **Role Definition:** SDRs became the **first touch** for all inbound MQLs, triaging leads against an agreed-upon ICP to ensure AEs received cleaner, higher-quality meetings.

#### 2. Process: Codifying Handoffs and Outcomes

- **Workflow:** Implemented a new codified flow: MQL assigned to SDR > added to an **ICP-based sequence in Salesloft** > meeting booked with AE and passed as an **Unqualified Opportunity (SAL)**.
- **Definitions & SLAs:** Established clear, shared definitions (SAL/SQL) and **SLAs** covering **time-to-first-touch** (same business day) and defined multi-touch follow-up cadences.
- **AE Buy-In:** Overcame initial **AE resistance** by running pilot sessions, showing data on poor-fit meetings, and committing to providing **faster, cleaner meetings** via the new SLAs.

#### 3. Systems & Data: Lifecycle Instrumentation

- **CRM Architecture:** Implemented new **Lead Lifecycle Stages** in Salesforce to track engagement milestones. Introduced **Lead to Contact/Opportunity conversion** to measure conversion efficacy.
- **Pipeline Visibility:** A new **Unqualified Opportunity Stage** was added to track SALs (pre-SQL effort), protecting discovery time from being invisible and improving forecast hygiene.
- **Executive Metrics:** Created **Reports and Dashboards** detailing conversion progress, lead source, and time-to-touch, shared with GTM leaders and the CLT to foster transparent, shared truth.

### 📈 Results: Sustained, Predictable Growth

Within three months, the systemic friction was significantly reduced, and the conversion rate had more than tripled. By the end of the six-month timeframe, the new motion proved its efficacy, validating the investment in the SDR-led model.

| **Metric** | **Baseline (Before)** | **Actual (After)** | **Lift/Impact** | **Time to Impact** |
| --- | --- | --- | --- | --- |
| **MQL to SQL Conversion Rate** | 12% | **64%** | **433% Increase** | 6 months |

💡 Lessons & The Reusable Playbook

The success hinged on sequencing the operational fixes correctly: fix the intake structure before scaling the output.

- **The Right Call:** Pausing new outbound initiatives until the inbound SDR spine was predictable was the crucial sequencing decision.
- **The Playbook:** The fundamental sequence stands as highly portable: **Definitions → SLAs → Visibility**.
- **The Cultural Shift:** The biggest initial risk was AE resistance; this should be mitigated next time by involving **AE champions earlier** in the process and running joint call reviews to align on the definition of "Qualified".

---

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