Roamler – Crowdsourcing applied to Field Marketing

Roamler successfully applies its crowd-sourcing model to improve efficiency, scalability and sustainability within field marketing, thanks to a community of hundreds of thousands of mobile users.

MORE OPPORTUNITIES FOR EVERYONE

The Roamler community includes trained shoppers and independent professionals who are enabled to be fully in charge of their time and careers. Thanks to the Roamler platform they get access to paid tasks in their vicinity, which they can select and execute according to their personal preferences, skills and schedule, in order to earn money their own way.

Tasks coming from the main FMCG companies and retail chains across Europe, are available in retail (supermarkets, stores etc.) and indirect channels (restaurants, petrol stations, cinemas etc.) anytime and anywhere. Every task is complemented with detailed instructions and live support from our internal team of reviewers. This way a large pool of individuals and independent professionals can gain direct access to new, diversified opportunities to increase their earnings, while being fully in charge of their work-life balance.

A SUSTAINABLE APPROACH TO BUSINESS

In addition to empowering individuals, the crowd-supported business model proves to add value and sustainability to companies. By complementing or, in some cases, replacing their fixed field-forces with flexible resources activated on-demand, companies can easily scale up and down their operations, extend their footprint according to the real needs of their market, and gain immediate efficiency.

SPEED AND TRANSPARENCY

Deploying a crowd to execute in-store audits and merchandising activities in supermarkets, stores and other outlets, allows companies to get their results up to 70% faster, as the use of mobile technology and a fully transparent process allows to transfer geo-located data and photos almost in real -time.

MAXIMISED EFFICIENCY

At the same time, crowd-sourcing rather simple operational tasks, such as reporting on the visibility and availability of specific products or installing promotional displays through a pool of on-demand resources, allows professional field forces to optimise their time in-store and focus on driving growth for their business.

UP TO 30% REDUCED CARBON FOOTPRINT

Applying crowd-sourcing to field marketing activities results in a much more sustainable approach to business. Not only companies can make a more targeted use of their resources and budget, stretching their capabilities on demand and responding directly to the actual demands of the market, but most importantly, they can cut the time spent on the road by their field forces and, consequently, CO2 emissions. The Roamler platform matches tasks with professionals and individuals located in the proximity of relevant points of sale across Europe. This negates the need for long commutes for fixed field forces and saves an average of 16KM travelled to reach each point of sale. In 2021, the Roamler community has contributed in helping FMCG companies and retail chains, save 1.108 tons of C02 emissions.

Projects evaluation criteria

Level of Impact
40%
Scalability
30%
Transparency
20%
H-Factor
10%

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VOTES

Jade

10.00

Rosan

10.00

Paul

10.00

Anthony

10.00

Benjamin

10.00

Martijn

10.00

Anouk

10.00

De

10.00

Thomas

9.75

pete1364

10.00

Rik

8.75

Katharina

8.50

Erik

10.00

marieke

9.25

Michael

9.00

Floris

10.00

Angelique

9.75

David

10.00

Xyana

10.00

Ayse

10.00

Marco

9.75

Juliette

7.75

Lara

10.00

Maud

10.00

Jon

9.25

Marit

10.00

Philip

9.00

Wim

10.00

Peter

10.00

Jerrold

5.25

Kyra

10.00

monica

10.00

Esther

10.00

Ronald

10.00

Hubert

10.00

Pleuni

10.00

Nikita

9.75

Kristel

10.00

Tom

10.00

Marja

10.00

Teresa

10.00

Iris

10.00

Quinty

10.00

Marloes

10.00

Maxime

10.00

Hélène

9.75

camille

10.00

Tiago

10.00

Florian

10.00

Romy

7.25

Stephen

10.00

Bas

10.00

deplana

7.75

Eindhoven

6.25

Annely

8.00

Ben

10.00

Torsten

9.75

Melvin

10.00

Shruti

9.50

Suzanne

9.75

Carmen

10.00

Conny

5.50

Anneke

9.25

Ed

10.00

Adriana

10.00

De Candy

9.00

Angela

10.00

Anne

10.00

Ernst

10.00

Linet

10.00

Gerda

7.00

Ben

10.00

Chitra

10.00

Carlos

10.00

J.

7.75

Joyce

10.00

Denise

10.00

Marian

8.00

Thomas

10.00

Caro

10.00

Simone

10.00

Wesley

10.00

Dionne

8.50

Arnaud

10.00

Ruud

8.75

Ricardo

7.50

Carolien

10.00

Sporty

10.00

Paul

10.00

Soufiane

9.25

Melissa

10.00

Sandy

9.50

Sam Ryan

10.00

kayleigh

10.00

Ester

10.00

Dave

9.00

Neil

9.75

Anouk

10.00

Matti

9.75

Moniek

10.00

Kirstin

8.75

Mitchell

10.00

E

10.00

Paul

10.00

Rosalinda

8.00

Justin

10.00

Miranda

8.00

Hidde

9.25

Luc

10.00

Rachid

10.00

Ina

9.00

Anita

10.00

Chèvon

10.00

Thijs

10.00

Marian

8.50

Ranim

8.00

N

9.00

Arjan

9.50

Sacha

10.00

Chantal

10.00

Sandra

9.75

Iris

10.00

Sandra

9.00

Sam

10.00

Suzanne

10.00

Maureen

10.00

Peter

10.00

Marieke

10.00

Albert

9.00

Marcella

9.25

Jacky

9.50

Jessica

8.00

Milan

10.00

Eric

10.00

Laurent

10.00

Sonja

9.75

Frike

10.00

Minke

10.00

Edwin

10.00

Ashley

9.00

Elles

10.00

H

10.00

Carlijn

7.25

Manon

10.00

Ferry

10.00

Jarno

9.00

Margriet

10.00

Hatice

7.00

Jenita

10.00

Claudia

9.00

-

10.00

Kim

9.00

Maartje

8.75

Desire

10.00

Romy

10.00

Ad

9.75

Irma

10.00

S H A N

9.75

MAtielle

10.00

Coba

10.00

Katie

10.00

Mohamed

7.50

Marita

10.00

Yvonne

10.00

Femke

10.00

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