Key Highlights:

+50% Campaign ROI

Faster Planning Cycles

Background

A global agency leader serving retail chains and restaurant groups had mastered the art of analyzing their clients’ internal transaction data, but this narrow view created a strategic blind spot: they could only see customer behavior within each client’s ecosystem, missing the broader spending patterns that drive purchase decisions. When retail and restaurant clients began demanding competitive intelligence—which customers were most likely to defect, how broader economic shifts affected category spending, and what promotional strategies would work based on comprehensive shopping behaviors—the agency’s first-party-only approach fell short. By appending predictive indicators derived from our comprehensive consumer transaction data to their existing first-party datasets, the agency could leverage their proven campaign optimization expertise while gaining the competitive intelligence needed to deliver measurably higher ROAS for their retail and restaurant clients.

Challenge

The agency’s sophisticated internal capabilities couldn’t overcome fundamental data limitations that were increasingly constraining their clients’ success. Their retail and restaurant clients’ campaigns were underperforming because targeting decisions relied on stale CRM data and behavioral assumptions rather than real-time purchase intelligence.

  • Without visibility into customers’ broader spending patterns across categories and competitors, the agency couldn’t identify high-value prospects or predict churn risk
  • Campaign planning cycles stretched for weeks as analysts manually pieced together fragmented data sources to approximate market insights
  • Most critically, the agency couldn’t objectively benchmark their clients’ performance against market competitors

Solution

The agency enhanced their proven analytical framework by appending transaction-derived intelligence from our comprehensive consumer spending Ultra dataset to their existing first-party customer records. This data enrichment approach preserved their established campaign optimization workflows while adding critical competitive context.

  • Segmented audiences based on verified purchase patterns rather than demographic proxies
  • Benchmarked their clients’ customer lifetime value against category competitors
  • Timed promotional campaigns to coincide with customers’ demonstrated spending cycles
  • Identified customers showing early signals of brand switching behavior across retail and restaurant categories

Product Used:

Ultra

The largest, most granular consumer transaction dataset delivered on a 1 day lag.
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Results

The enhanced data foundation transformed campaign performance across the agency’s retail and restaurant client portfolio. Audiences built on actual transaction signals delivered significantly higher engagement rates and conversion metrics compared to traditional demographic targeting.

+47% Campaign ROI

Faster Planning Cycles

Higher Client Retention

Impact Highlights

  • +47% campaign ROI through buyer audience optimization
  • Planning cycles reduced from weeks to hours
  • Improved strategy and targeting with competitive intelligence
  • Higher client retention and expanded platform engagement
  • New business wins accelerated with differentiated transaction-data capabilities becoming a core pitch asset