Technology Fueled Insights

Our proprietary Dynamic Sampling technology ensures the best engagement with real, normal consumers. Reach any audience anywhere

Our proprietary Dynamic Sampling technology enables your agility

Dynamic Sampling is much like a modern version of CATI (Computer-Assisted Telephone Interviewing) as we approach normal consumers and not just panel members.

By sampling through mobile units, you can reach more than 800 million real, normal consumers in 150 countries allowing targeting down to 1% IR.

Any audience anywhere

You get access to 800 million consumers globally via one uniform methodology deployed cross-nationally. That means you can can filter and target with great precision and sampling volume, even incident rates down to 1% and down to 10% without additional cost.

Instant access to more than 800 million consumers

Get insights from consumers everywhere in the world; with Dynamic Sampling you can reach even low-incidence segments or consumers in areas not usually accessible.

Automated quality assurance

We employ a range of automated quality assurance measures to secure valid and high-quality data

schedule
Survey
Completion Time
fact_check
Sanity Check
Questions
person_pin
Confirmed
Background Data
spellcheck
Automated Open
Answer Check
push_pin
Confirmed
Target Criteria
stay_primary_portrait
Lean &
Intuitive Interface
fingerprint
Unique Mobile ID
For Each User
support_agent
Questionnaire
Design Support

Opeepl vs US Census Bureau

Our methodology proves to generate solid and reproduceable data which do not differ significantly from data generated through proven research methodologies like the official statistics of U.S. governmental statistical bureaus.

Opeepl Survey

Official Statistics

Average travel
time to work

2018, workers 18-59 y.o.

2012-2016, workers 16 y.o.+

Travel time in minutes

25.6

26.1

Home ownership
Status

2018, workers 18-59 y.o.

2012-2016, workers 16 y.o.+

Statistically
Identical

Home owners

52.2%

54.2%

✓*

Living in
the same house

2018, 18-59 y.o.

2012-2016

Statistically
Identical

1 year or more

82.4%

85.2%

✓*

Less than 1 year

17.6%

14.8%

✓*

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