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Runners with medals and the Arla Protein sampling team in front of a branded #TakeStrength gazebo

Case study · Sports nutrition and dairy

Arla Protein Run For All Sampling Product Sampling Staff | Running Events

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The story in brief

Arla Protein met runners at the finish line of Run For All events across the North. Our sampling teams handed out an average of 5,000 chilled samples at every event.

Client
Arla Protein
Sector
Sports nutrition and dairy
Format
Running event sampling
Venue
Run For All events
Staff type
Product sampling staff, Event managers
5,000Samples per event

01

The brief

Arla Protein wanted to put its protein products in the hands of people who would value them most: runners finishing 10ks, half marathons and marathons at Run For All events across the North.

The aim was brand awareness and future purchase, with tens of thousands of chilled samples to distribute.

The Arla Protein team holding samples behind a row of branded sampling bins under the gazebo

02

What we did

We supplied product sampling staff with a real interest in fitness, so every conversation about the product's benefits came from people who knew what runners need.

We also handled the kit and the logistics: fully branded gazebos, usherette trays and sampling bins, plus storage, transport and delivery of chilled samples to every event. An event manager and an assistant ran each live event.

Arla Protein sampling team raising samples beside four branded bins at a running event

03

How it ran

  • Sampling: an average of 5,000 chilled samples handed out at each event.
  • Competition: a competition element gave runners another reason to stop at the stand.
  • Early starts: our head office managed staff around the clock, so teams were ready for early morning set-ups.
  • Waste: samples and waste were handled properly to keep each site clean.

Every event was photographed, and the results went into a bespoke online client report.

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Sampling at a running event or sports day? We will staff every finish line.

Number of staff, how many samples, shift hours, anything else we should know?

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