74% of consumers that engage with a brand in a live
experience say they are more likely to buy the products being promoted.
When executed correctly retail demo programs work. The key to In-Store success comes down to three areas that Attack! has built its reputation on Quality of Staff, Incentives to Perform and Measurement and Results
Effective product sampling programs increase trial and speed up the sales cycle between a brand and consumer. Not just that, but it is a live interaction that significantly increases the loyalty a person has towards a brand The key to Product Sampling success comes down to three areas that Attack! has built its reputation on: Quality of Staff, Incentives to Perform and Measurement & Results.
110,000+ Screened and Active Product Specialists across the U.S/Canada
Program Strategy, Development, Execution and Reporting
Experienced In-House Field Workforce Management Teams
Product Specialists, In-Store Demo Reps Brand Ambassadors,
Inventory Tracking, Fulfillment and
Attack! has been a great partner to Humm. Their attention to our brand and the performance of each and every demo has helped to make our demos more and more successful. Attack! has helped us find solutions to scaling our field activations. The team is collaborative, solution-focused and performance driven. I am very happy to have them as a national demo & event staffing partner.
Field Marketing Manager, Humm
Every Attack! Field Rep is equipped with a mobile-friendly event recap app. Reporting and results are submitted on-site in real time giving you an immediate snapshot of talent performance and event return.
Technology We Use To Maximize Events
Staff GPS Check-In
Linked directly to “permission-based” location services apps on a staffer’s mobile device giving you full transparency of when and where they arrive on site. Developed for client & account team visibility and field talent accountability.
Full visibility calendar and event details layout of when and where your field teams are activating; including a full suite of KPI and expected performance metrics.