Success Story

Wisk

Wisk Case Study

Rocket Fuel helped us convert our competitors’ customers by combining offline sales data with online behaviors in display media and pre-roll video. They gave us an efficient, effective media plan that provided outstanding results, having the highest on-target audience composition by our OCR study and a great pre-roll video completion rate.”

Ann Daly
Media Planner Merkley+Partners

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Goal

Conquest competitors' customers, reach intended audience, and increase video views

Challenge

Driving offline sales online is challenging, and the CPG environment is competitive

Product Used

Rocket Fuel for Direct Response

Advertiser

Sun Products Corporation makes laundry detergents, softeners, and other fabric-care products under the Wisk, Sunlight, All, Cuddlesoft, Snuggle, and Surf brands. Sun Products also manufactures household-cleaning products, selling them under the Sun label. In addition, it provides contract-manufacturing services for major retailers. Sun Products is the second-largest producer of fabric-care products in the North America, behind Procter & Gamble.

Goal

  • Use a mix of offline data and online behavioral cues to conquest competitors’ customers
  • Raise awareness against competitors
  • Reach intended audience (Adults 25-49)
  • Increase video views of :30 pre-roll spot

Challenge

  • Marketplace is full of strong competitors, including Tide, Gain, Purex, Cheer, and Era
  • Driving offline sales through display and video is very challenging

Results

  • Rocket Fuel achieved CTR 164% better than goal
  • Rocket Fuel was the #1 OCR study partner on the intended audience composition of Adults ages 25-49

Product Used

  • Rocket Fuel for Direct Response

Audience

  • Adults 25-49
  • Major competitors’ shoppers

Why Rocket Fuel?

  • Its video and display capabilities
  • Its ability to reach the most engaged audience
  • Its willingness to provide NCS study
  • It helped create Datalogix segments for a major competitor’s shoppers
  • It provided real-time brand optimization