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Intent Reliability Weighting Model

Not all intent is equal. We weight signals by source reliability and buying-stage alignment so activation targets decision-grade accounts—not noisy researchers.

The Intent Noise Problem

Most intent providers over-report “in-market” behavior. Without reliability weighting, your programmatic spend chases broad curiosity instead of active evaluation.

CRITICAL FAILURE MODES

  • High-intent audiences filled with low-value researchers
  • Retargeting pools inflate without conversion lift
  • Sales ignores “intent” because it rarely matches real deals

Reliability Scoring Logic

SIGNAL INPUTS
Source Type (publisher, network, first-party)
Topic Granularity (category vs solution)
Historical Conversion Correlation
Spam / Bot Risk
Cross-Source Confirmation
WEIGHTED OUTPUT
Decision-Grade Intent Score
Logic: [Source Reliability] × [Topic Depth] × [Validation] − [Noise Risk]

PLATFORM ON (6sense/Demandbase + DSP)

We map weighted intent into activation cohorts and enforce minimum reliability thresholds before an account enters high-cost sequences.

Rule: IntentScore ≥ 75 AND ConfirmedSources ≥ 2 → Activate Tier1_Proof

PLATFORM OFF (CRM/Sheets + DSP Partner)

We deliver a weighting rubric and apply it to your raw intent feeds, producing an activation-ready list with documented thresholds.

Rule: Publisher intent = 1.0, Network intent = 0.6, Unknown = 0.3

Artifacts You Receive

  • Reliability Weighting Rubric (source multipliers + definitions)
  • Validation Rules (cross-source confirmation logic)
  • Noise Suppression Rules (spam/bot topic filtering)
  • Activation Thresholds by Tier (what score unlocks what spend)

Implementation Steps

WK 1
Audit current intent feeds vs closed-won to quantify false positives by source.
WK 2
Define reliability multipliers and confirmation rules; publish minimum activation thresholds.
WK 3
Deploy weighted audiences, validate conversion deltas, and tune thresholds monthly.

Want Cleaner Intent Before You Spend More?

Run My Paid Media OS Audit