WINNING PRODUCT RESEARCHER — HEALTH & BEAUTY ECOMMERCE (META AD LIBRARY + ADVERTORIAL FUNNELS)

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Full Time

SALARY

N/A

HOURS PER WEEK

TBD

DATE UPDATED

Jul 7, 2026

JOB OVERVIEW

Please read the full post before applying. Experienced dropshipping researchers only.

ABOUT THE ROLE

We are a scaling health, beauty, and wellness ecommerce brand. We run Meta ads and sell through advertorial funnels, and we are looking for a product researcher who can consistently spot winning products before they saturate.

This is a full-time, long-term role for someone who lives inside the Meta Ad Library, understands Funnelish advertorial funnels, and has real hands-on experience researching health and beauty products for dropshipping brands.

WHAT YOU WILL DO

- Find winning health and beauty products (creams, patches, oils, drops, supplements, and similar) using the Meta Ad Library and spy tools.
- Study competitors' Funnelish stores and advertorial funnels to understand what is working and why.
- Validate demand using active ads, reach, ad longevity, creative volume, and angles.
- Track competitors and winning ads across markets, and collect creative swipes with their Meta Ad Library links.
- Organize your findings in Google Sheets with product links, competitor and funnel links, Meta Ad Library links, reach, angles, and a clear recommendation.

WHAT WE ARE LOOKING FOR

- Real experience doing product research for dropshipping companies in the health and beauty niche.
- You know what Funnelish is and can tell when a competitor's store or funnel is built on it, including spotting the advertorial.
- Heavy hands-on experience with the Meta Ad Library. This is your main tool, not an afterthought.
- Strong with spy tools such as WinningHunter, Minea, AdSpy, PPSpy, PiPiAds, and similar.
- Comfortable in Google Sheets and organized in how you present findings.
- Full-time and available long-term.
- Good English and clear communication.

NICE TO HAVE

- Experience researching for UK and EU markets.
- Creative swipe and angle research.
- Experience finding advertorial-style winners.

WHAT WE OFFER

- A long-term, full-time role in a scaling company.
- Negotiable salary based on your experience and proven results.
- A team where creative, media buying, and fulfillment are already handled, so you can focus on research.

HOW TO APPLY

Start your message with the word WINNER so we know you read the full post.

Then answer the questions below clearly. Specific examples and real proof matter far more than general statements.

1. How many years have you done product research for health and beauty dropshipping stores?
2. What do you know about Funnelish, and how do you tell if a competitor's store or funnel is built on it?
3. How much of your research is done in the Meta Ad Library? Walk us through how you use it to validate a winning product.
4. What spy tools do you use, and how do you spot a product that is scaling right now?
5. What health and beauty products have you found and researched before? Give one specific example (the product, and why it was a winner).
6. What is an advertorial, and why does it matter for a health and beauty funnel?
7. Are you available full-time and long-term? What are your working hours and timezone?
8. What is your expected monthly salary in USD?
9. Please share your CV. Sample research sheets or other proof of past work are welcome but optional.
10. Are you comfortable completing a short test task before hiring?

Shortlisted applicants will be given a short test task before any offer. We review every application that follows these instructions.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0011
Controller Execution Time ( Jobseekers / Job )  0.0152
Total Execution Time  0.0172
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,502,480 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/WINNING-PRODUCT-RESEARCHER-HEALTH-BEAUTY-ECOMMERCE-META-AD-LIBRARY-ADVERTORIAL-FUNNELS-1683928
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0077 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1683928
 LIMIT 1 
0.0003   SELECT *
FROM `employers`
WHERE `employer_id` = 934164
 LIMIT 1 
0.0009   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1683928
AND `misc`.`idIS NULL 
0.0004   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-07-22',ej.date_added) duration_daysDATEDIFF('2026-07-22',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-07-22',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1683928' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1683928 
0.0008   UPDATE employer_jobs SET hit_counts '***Jul-07-2026=428***Jul-08-2026=141***Jul-09-2026=58***Jul-10-2026=10***Jul-11-2026=7***Jul-12-2026=10***Jul-13-2026=19***Jul-14-2026=13***Jul-15-2026=6***Jul-16-2026=3***Jul-17-2026=4***Jul-22-2026=1' WHERE job_id'1683928'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Jul-2026=698' WHERE job_id'1683928'  
0.0009   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1683928' AND status LIKE 'sent%' ORDER BY id DESC  
0.0002   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1683928 
0.0021   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '934164'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0002   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)