Because they sit in no panel and don't answer for points. We ask them where they already are: on social media. One-off surveys, trackers, your own questionnaires in the field. Plus simulations for indicative pre-studies and more.
Illustrative photos, not our respondents. Photos (Unsplash): Tatiana Zanon, Matteo Vistocco, Good Faces, Centre for Ageing Better, Ghen Mar Cuaño, Desola Lanre-Ologun.
“We use Boomerang Ideas to gather fast market & consumer insights for our clients and ourselves. It helps us make informed decisions and suggest concepts based on consumer insights.”
Patrick Glauser · Managing Partner, TMI AG
“The insights we gained from Boomerang Metrics were invaluable in refining and improving our marketing strategy.”
Carsten Richter · Digital Manager, Lindt & Sprüngli
“Running six targeted Boomerang surveys across multiple markets proved to be fast, intuitive, and engaging. The Boomerang platform delivered professional insights that enabled us to validate our personas and refine our targeting strategy with confidence.”
Philipp Köstner · Lead Online Marketing, BERNINA International
“When you're not sure a new product adds real value, Boomerang Ideas gets you solid, real-market feedback for very little money or effort.”
Ivan Mele · Founder, HEYNEW product testing Translated from German
Classical market research is running out of people
36 % → 6 %
Phone response rate, 1997 → 2018.
Pew Research Center (US)
<1 % → 34 %
Panel members → questionnaires, top 10 US panels.
comScore, 2006
How a survey runs
1
Format
Our AI agent asks: qualitative or quantitative?
2
Questionnaire
The agent's draft, a template, a blank start or your own.
3
Simulation optional
Simulated answers for an indicative result.
4
Fieldwork
Nothing to do. Fresh social media recruitment for every study.
5
Weighting and results
Weighted in the dashboard, live during fieldwork.
instead of mailing listsMicro-targeting
instead of pointsReal motivation
instead of long questionnairesBrevity
So you hear from people classical fieldwork no longer reaches.
Algorithm selection bias
Schematic view. The pyramid is built from official ground-truth statistics and stratified by age, gender and region; the social media picture maps each cohort to the platforms, formats and times where it can actually be reached, such as TikTok and Instagram.Integrated Social Media Population Model (SMP), schematic; the panel side is illustrative.
Micro-targetingCross-quota: CH, DE, ATWeighted to official statisticsQuality checks
Tested, not claimed
Boomerang vs. established online panel.
81 % vs. 37 %
Passed attention checks.
42 % vs. 20 %
Stay until the end.
UZH study II (USA): n = 1,000 Boomerang, n = 1,000 Qualtrics
All the evidence
2.91 vs. 3.04
Trust in science (1–4): lower, less desirability bias.
Simulated respondents included each month: 200 · 3,000 · 10,000. Extra seats (Pro, Team): CHF 150 a month.
Breakdowns by age, gender or region: reliable for human samples; for simulations, read subgroup results as indicative.
Add-ons: 200 credits per study. 1 credit = CHF 1, valid for every social sampling product.
Get in touch
Reply within 1–3 working days.
Quick answers
Which countries?
24: Argentina, Australia, Austria, Brazil, Canada, Czech Republic, France, Germany, India, Italy, Kenya, Mexico, Nigeria, Poland, Portugal, Saudi Arabia, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, the UK and the USA.
How fast?
7–10 days on average, first answers after 24 hours.
Who owns the data?
You do. GDPR and Swiss FADP compliant.
We do market research too
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uses Boomerang in the SRF Trend Surveys sample
Patrick Glauser · Managing Partner, TMI AG
Carsten Richter · Digital Manager, Lindt & Sprüngli
Philipp Köstner · Lead Online Marketing, BERNINA International
Ivan Mele · Founder, HEYNEW product testing Translated from German
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