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How Do You Configure Lead Grading in Pardot?

Use Pardot lead grading to qualify fit—not just activity—so Sales focuses on the right people. Align grading to your ideal customer profile, automate grade changes, and connect grades to MQL and routing rules in Salesforce.

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To configure lead grading in Pardot, you first define your ideal customer profile (ICP), then create one or more grading profiles that capture the firmographic, demographic, and BANT-style traits that matter most. Each criterion (such as industry, company size, job title, or region) adjusts a prospect’s grade up or down using automation rules, completion actions, and dynamic lists. Over time, you refine grades based on conversion rates and Sales feedback so that a grade like A or B consistently signals “worth Sales time,” while C/D grades stay in nurture.

What You Need Before Turning on Pardot Lead Grading

A clear ICP — Agreement with Sales on the customers you want more of: ideal industries, geos, segments, company size, and buying centers.
Clean mapped fields — Pardot prospect fields mapped to Salesforce lead/contact fields so job title, industry, company size, and region are reliable.
Baseline scoring model — Scoring tells you how interested the prospect is; grading tells you how well they fit. You’ll use both for MQL.
Sales-aligned definitions — Clear thresholds for what grades (A/B/C) mean and how they influence routing, queues, and SLAs in Salesforce.
Data capture plan — Progressive profiling on forms, field enrichment, and list imports to ensure you actually collect the data you grade on.
Reporting baseline — Current MQL→SQL→opportunity conversion by campaign/source so you can see how grading improves funnel quality.

Step-by-Step: Configuring Lead Grading in Pardot

Use this practical sequence to move from “everyone looks the same” to a governed grading model where A/B prospects become your default Sales priority—and C/D prospects stay in nurture until they’re ready.

Define Your ICP → Design Grading Profile → Configure Automation → Test → Launch → Optimize

  • Document your ICP and segments. Meet with Sales and RevOps to define the traits that predict closed-won: industries, regions, company size bands, tech stack, buyer personas, and negative segments.
  • Create a grading profile in Pardot. In Pardot, create a new profile (for example, “Global ICP – Core Product”) and define the starting grade (often D) for all new prospects aligned to that profile.
  • List grading criteria and weightings. For each ICP attribute (industry = target, job title includes “Director/VP,” company size 200–2,000, region in target markets), decide whether it should raise or lower the grade by +/–0.25, 0.5, or 1 letter.
  • Configure automation rules and completion actions. Use Pardot automation rules, dynamic lists, and form completion actions to adjust grades when a prospect matches profile criteria (for example, “If Industry = Software → Change profile criteria to ‘Matches’ → Grade +0.5”).
  • Align grading with scoring and MQL rules. In collaboration with Sales Ops, set MQL thresholds like “Score ≥ X and Grade ≥ B–” and update Salesforce assignment rules, queues, and alerts to respect those thresholds.
  • Test with a pilot segment. Simulate grade changes on a sample of historic prospects to validate that A/B prospects reflect your real best deals. Review exceptions and adjust criteria before full rollout.
  • Monitor conversion and refine. Track A/B/C conversion rates, time-to-first-touch, and pipeline sourced. Refine grading rules quarterly as your ICP evolves or you move up/down market.

Pardot Lead Grading Maturity Matrix

Capability From (Ad Hoc) To (Operationalized) Owner Primary KPI
ICP Definition Loose persona docs; no agreement on “good fit” Explicit ICP criteria (industry, size, roles, regions, tech) Marketing + Sales Leadership Win Rate by Segment
Field & Data Quality Critical fields empty or inconsistent Mapped and normalized fields with validation and enrichment RevOps % Prospects with Full Profile
Grading Model Design One-size-fits-all grade; manual tweaks Profiles by segment with documented criteria and weights Marketing Ops A/B Share of MQLs
Automation & Routing Basic scoring; everyone routed the same MQL rules use score + grade; Salesforce routing respects grade Sales Ops Speed-to-Lead, Contact Rate
Reporting & Feedback No visibility into grade performance Dashboards showing conversion by grade with Sales feedback loop RevOps / Analytics SQL & Opportunity Rate by Grade
Optimization Cadence Set-and-forget grading rules Quarterly grading reviews and A/B tests by channel and segment Marketing Ops Pipeline & Revenue from A/B Grades

Client Snapshot: From “Noisy” MQLs to Grade-Driven Focus

A B2B SaaS client using Pardot saw Sales overwhelmed by MQL volume, with many leads outside their ICP. By implementing a grading profile tied to industry, company size, and title seniority—and aligning MQL rules to score + grade—they cut MQL volume by 30% while increasing opportunity creation from A/B prospects. Sales spent less time sifting and more time engaging with the right accounts.

When you treat Pardot lead grading as a governed revenue capability—not just a feature—you get cleaner handoffs, clearer expectations with Sales, and pipeline you can reliably scale.

Frequently Asked Questions about Pardot Lead Grading

What is the difference between scoring and grading in Pardot?
Scoring measures engagement (how interested someone appears, based on opens, clicks, form fills, and page views). Grading measures fit (how well a prospect matches your ICP, based on traits like industry, role, and size). The best MQL models use both: score for intent, grade for fit.
Do I need more than one Pardot grading profile?
Many teams start with a single global profile, then add additional profiles for key segments (for example, enterprise vs. mid-market or different product lines). If your ICP meaningfully differs by segment, separate profiles give you more control.
Which fields should I grade on first?
Start with the traits Sales already uses to qualify opportunities: target industries, geos, company size bands, buying role/seniority, and sometimes technology stack. Limit the initial model to a handful of criteria so you can explain it clearly and optimize it over time.
How do I handle missing or bad data in grading?
Use a conservative default grade (for example, D) when key fields are blank, and focus on improving data capture: required fields on high-value forms, progressive profiling, and data enrichment. You can also add negative criteria for obvious misfits (for example, student, consultant, competitor).
How should Sales use Pardot grades in their workflow?
Align on rules like “A/B grade + minimum score = MQL” and make sure assignment rules, queues, and prioritization views in Salesforce highlight those prospects. C/D grades can stay in nurture or be routed differently, depending on your strategy and capacity.
How often should we revisit lead grading settings?
At minimum, review grading performance quarterly with Sales and RevOps. As you move up/down market, launch new products, or enter new regions, your ICP will evolve and your grading criteria should evolve with it.

Make Pardot Lead Grading Work for Revenue

We’ll help you clarify your ICP, build grading profiles, and connect grades to MQL rules, routing, and reporting—so Sales always knows which prospects to work first.

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