MQL as a Service &
BDR as a Service

Qualified leads and booked meetings, delivered monthly, optimized weekly.

Why Most B2B Lead Generation Programs Fail

Most lead generation doesn’t fail at volume. It fails at conversion. Here’s where the breakdown happens: 

Problem 01

Lead Quality Is Inconsistent

Only 20–30% of marketing qualified leads typically convert to a sales conversation. Without a shared definition of “qualified,” marketing optimizes for volume while sales loses trust in the pipeline.

Problem 02

Leads Aren’t Exclusive

Many vendors sell the same leads to multiple buyers. By the time your team follows up, the prospect has already heard similar pitches from competitors.  

Problem 03

Speed-to-Lead Is Too Slow

Response time is one of the strongest predictors of lead conversion. When follow-up takes days instead of minutes, leads go cold. 

Problem 04

No System Behind It

Most programs are campaign-based: launch, measure, repeat. No optimization loop. No shared qualification criteria. No feedback between sales and marketing.

What Is MQL as a Service (MQLaaS)?

MQLaaS is a managed demand qualification service that delivers a monthly volume of marketing qualified leads based on an agreed definition, channel mix, and scoring logic. It replaces ad-hoc campaigns with a repeatable, optimized system.

At IInfotanks, an MQL sits at the intersection of three signals:

  • Fit: The lead matches your ICP (industry, company size, job title, geography).
  • Intent: The lead shows signals of active interest (content engagement, response behavior, or third-party intent data).
  • Engagement: The lead interacted meaningfully: a reply, a click, a callback request. Not just an open.
  • Not a lead list. Lists are static. MQLaaS is a managed, optimized process.
  • Not a one-off campaign. MQLaaS runs continuously with weekly iteration.
  • Not shared leads. Every MQL is exclusive to your company.
Who Is MQLaaS Built For

Who Is MQLaaS Built For?

MQLaaS is designed for B2B companies that need qualified pipeline, not bigger databases

You’re a Strong Fit If:

What Our CRO Services Focus On

How Targeting Works: Persona-First, Data-Backed

Every MQLaaS engagement starts with a structured framework built on four decisions:

Who to Target

Prospects are identified using firmographic data (industry, size, revenue), demographic data (title, seniority), and technographic signals (tools they use). IInfotanks maintains 120M+ global B2B contacts and tracks 25,000+ technologies.

How to Reach Them

Messaging is personalized per persona. A CTO and a VP of Marketing receive different outreach mapped to their specific pain points.

When to Engage

Send times, days of the week, and follow-up intervals are optimized per segment to maximize reply rates.

What to Measure

Deliverability, engagement, reply quality, and conversion are tracked at every stage. Targeting is refined continuously, not quarterly.

What You Get: MQLaaS Deliverables

Every engagement produces documented, actionable outputs:

Lead Records

Full firmographic and contact data: company name, industry, revenue range, employee count, job title, direct email, phone, and LinkedIn profile.

Activity Context

For every lead: which channels were used, what messages were sent, how many touchpoints occurred, and what the lead engaged with.

Scoring Documentation

A transparent breakdown of why each lead qualified. Sales knows the context before the first call.

Weekly Reporting

Deliverability metrics, reply rates, MQL acceptance rates, drop reasons, and optimization notes. No waiting until month-end.

Handoff Rules

Defined criteria, routing logic, and SLA expectations for handing leads into your SDR/BDR workflow.

The MQLaaS Process: 6 Steps from Setup to Delivery

Every step is documented. Every decision is shared. Every output is measurable. 

Step 01

Intake and Alignment

Kickoff covers lead definition, monthly targets, timeline, and resource plan.

Outcome: zero ambiguity on what qualifies as an MQL. 

Step 02

Data and Segmentation

Audience is segmented using firmographic, demographic, and technographic filters.
Segmentation is persona-led.

Example: “VP of IT at mid-market healthcare orgs using legacy ERP.”   

Step 03

Deliverability Setup

Dedicated sending domains are acquired and warmed. IP reputation is ramped gradually.

Goal: stable inbox placement before volume scales. 

Step 04

Messaging and Approvals

Every message is approved by your team before scaling. A/B variants are created for subject lines, openers, proof points, and CTAs.  

Step 05

Launch with Validation

Launch is staged. Test campaigns use text-based emails (which outperform heavy HTML in B2B deliverability). Lead delivery workflows are confirmed before full volume. 

Step 06

Qualification and Scoring

Leads are scored against persona fit, firmographic match, and engagement thresholds. Higher-tier plans add third-party intent signals.
Scoring logic is fully documented and shared with your sales team.

Reporting and Optimization Weekly Not Monthly

Reporting and Optimization: Weekly, Not Monthly

MQLaaS runs on a weekly cadence. When something isn’t working, it’s adjusted in days.

What Gets Optimized Each Week

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Audience segmentation based on engagement patterns
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Subject line and copy variants based on reply quality
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Follow-up paths for leads that replied but didn’t convert
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Send time and follow-up cadence

Compliance and Quality Controls

If a lead doesn’t meet the agreed criteria, it doesn’t get delivered.

Compliance

  • CAN-SPAM, CCPA, GDPR, and CASL aligned
  • Suppression lists maintained; opt-out enforced
  • Built on permission-based contact data. No scraping, no recycled lists.

Quality Controls

  • Persona mismatch review (catches targeting drift)
  • Cadence governance (prevents over-mailing)
  • Validation gates before any scaling decision
Compliance and Quality Controls

When MQLs Aren’t Enough: Adding BDR as a Service

MQLaaS Plans: Volume, Channels, and Signal Depth

Base: Best for First-Time MQLaaS

Ideal for companies testing managed MQL generation or supplementing existing outbound.

Growth: Best for Scaling Pipeline

Adds 1:1 personalized outreach and a dedicated resource focused on your account.

Enterprise: Best for Full-Stack Demand

Multi-channel (email + LinkedIn), two dedicated resources, Marketing Cloud, and intent data.

Base Growth Enterprise
Monthly MQLs 7–10 12–15 20–25
Outreach Automation Automation + 1:1 Automation + 1:1
Platform Pardot Pardot Pardot + SFMC
Channels Email Email Email + LinkedIn
Resources Shared Dedicated (1) Dedicated (2) + intent

BDRaaS Plans: From Qualified Lead to Booked Meeting

Base: Best for Early BDR Support

Lightweight appointment layer. Ideal for a few high-quality meetings per month.

Growth: Best for Faster Follow-Up

Dedicated BDRs, phone follow-up, cold calling, and intent data.

Enterprise: Best for Larger Outbound Teams

Four dedicated resources. Coordinated multi-channel campaigns with intent signals.

Base Growth Enterprise
Monthly Appts 3–5 7–10 11–15
Channels Email + LinkedIn Email + LinkedIn + Call Email + LinkedIn + Call
Dedicated BDR No (shared) Yes (2) Yes (4)
Intent Data No Yes Yes

When MQLs Aren’t Enough: Adding BDR as a Service

BDRaaS converts qualified leads into booked sales appointments through dedicated, multi-channel follow-up (email, LinkedIn, phone). It picks up where MQLaaS leaves off. 

When MQLs Arent Enough Adding BDR as a Service

MQLaaS vs. BDRaaS: Quick Comparison

MQLaaS BDRaaS
Output Qualified leads (MQLs) Booked appointments
Goal Identify ready-to-engage prospects Convert interest into meetings
Channels Email, LinkedIn (Enterprise) Email, LinkedIn, Phone
Best for Building qualified pipeline Filling your sales calendar
Can combine? Yes Yes

Many companies start with MQLaaS and add BDRaaS when they need meetings, not just leads.

Pricing And Plans

$2,500 / Monthly Fee

Base

7 To 10 MQLs Per Month
Get A Plan
$4,500 / Monthly Fee

Enterprise

20–25 MQLs Per Month
Get A Plan
$2,000 / Monthly Fee

Base

3–5 Appointments / Month
Get A Plan
$5,000 / Monthly Fee

Enterprise

11–15 Appointments / Month
Get A Plan

Ready to Build a Predictable Pipeline?

Confirm your ICP, align on MQL definition, set targets, and launch. Typically within two weeks.

Frequently Asked Questions of MQLaaS-BDRaaS-Service-Page-AIO

MQLaaS is a managed service that delivers a set number of marketing qualified leads each month. Leads are targeted using persona and firmographic criteria, scored against documented rules, and delivered with full activity context. It replaces one-off campaigns with a continuous, optimized system.

BDRaaS converts qualified leads into booked sales meetings. A dedicated BDR team manages multi-channel follow-up (email, LinkedIn, phone) to turn interest into confirmed appointments on your calendar.

An MQL is a lead at the intersection of Fit (matches your ICP), Intent (shows active interest), and Engagement (interacted meaningfully with outreach). The specific criteria are agreed at kickoff.

A lead list is static data. MQLaaS is a managed process: leads are targeted, contacted, scored, and qualified before delivery. Every lead includes activity context and scoring documentation.

Yes. Every lead is exclusive to your company. IInfotanks does not resell or share leads across clients.

Base plans use email. Growth adds 1:1 personalization. Enterprise adds LinkedIn. BDRaaS plans add phone follow-up and cold calling.

Most engagements go live within two to three weeks. That covers ICP alignment, segmentation, deliverability setup, messaging approvals, and test campaigns.

Primary platforms are Salesforce Pardot and Marketing Cloud. HubSpot and other tools can be discussed during intake.

Dedicated sending domains are warmed, IP reputation is ramped gradually, and inbox placement is monitored throughout. Text-based emails are the default for B2B deliverability.

No. Both MQLaaS and BDRaaS are monthly plans with no long-term commitment.

Yes. Many companies use MQLaaS for lead qualification and add BDRaaS to convert those leads into booked meetings. The two services are designed to work as a single pipeline.

Weekly or bi-weekly reports covering deliverability, reply rates, MQL acceptance, drop reasons, and optimization actions taken. No waiting until month-end.