Online Marketing

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

TYPE OF WORK

Part Time

SALARY

400-800

HOURS PER WEEK

20

DATE UPDATED

May 14, 2025

JOB OVERVIEW

JOB DESCRIPTION
We are a U.S.-based real estate company looking to hire a digital marketing specialist who has proven experience in real estate advertising, geofencing, and social media marketing. This role requires strong technical skills in ad creation, audience targeting, and campaign optimization for hyperlocal outreach.
Core Responsibilities:
Strong focus on real estate—marketing listings, open houses, and buyer/seller lead campaigns will make up approximately 90% of the workload. However, candidate must also be able to market other types of events and small business promotions as needed.
Set up and manage Facebook, Instagram, and Google Ads with a focus on real estate
Run targeted campaigns to promote open houses, new listings, community events, and more
Use advanced targeting strategies including geofencing, radius targeting, and zip-code-level campaigns
Think creatively and maximize results from a limited marketing budget—we are not looking for someone who simply boosts posts, but someone who understands how to stretch each ad dollar for maximum reach and impact
Create ad copy, visuals, and call-to-actions that align with real estate goals
Monitor performance data and provide weekly reports with recommendations for improvement
Stay up to date with platform changes and algorithm updates
Handle additional local business campaigns as needed (events, service promotions, etc.)
Required Skills:
Experience with Facebook Ads Manager and Google Ads
Deep understanding of targeting for real estate (buyers, sellers, local audiences)
Proven ability to run geofenced or hyperlocal ad campaigns
Strong English communication and writing skills
Ability to create and edit visual ads (Canva or similar tools)
Ability to strategically allocate small budgets for maximum ROI
Familiarity with performance tracking (CTR, CPC, CPM, CPL)
Preferred Experience:
Prior work with U.S.-based real estate teams or brokerages
Experience with retargeting strategies
Understanding of real estate-specific platforms like Zillow, ---------- , or CRM integrations
Work Hours & Terms:
This is a long-term, remote role with flexible hours
Part-time or full-time, depending on availability and skill level
Pay will be based on experience, with monthly compensation to be discussed during the interview
To Apply:
Submit a cover letter explaining your experience with real estate digital marketing
Include 2–3 examples (screenshots or links) of past real estate ads or campaigns you have run
Explain how you’ve maximized marketing results on a small budget
List the platforms and tools you are proficient in
State your expected monthly salary
We are only considering applicants with proven experience in real estate marketing and local targeting strategies. Only qualified candidates will be contacted.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0007
Controller Execution Time ( Jobseekers / Job )  0.0200
Total Execution Time  0.0214
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,509,224 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Online-Marketing-1376848
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0108 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0010   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1376848
 LIMIT 1 
0.0013   SELECT *
FROM `employers`
WHERE `employer_id` = 414959
 LIMIT 1 
0.0008   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1376848
AND `misc`.`idIS NULL 
0.0004   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-17',ej.date_added) duration_daysDATEDIFF('2026-04-17',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('2026-04-17',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1376848' 
0.0009   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1376848 
0.0012   UPDATE employer_jobs SET hit_counts '***May-14-2025=163***May-15-2025=45***May-16-2025=12***May-17-2025=5***May-18-2025=7***May-19-2025=6***May-20-2025=3***May-21-2025=4***May-22-2025=8***May-23-2025=4***May-24-2025=3***May-26-2025=4***May-27-2025=3***May-29-2025=2***May-30-2025=3***May-31-2025=2***Jun-01-2025=3***Jun-02-2025=6***Jun-03-2025=1***Jun-04-2025=3***Jun-05-2025=2***Jun-06-2025=2***Jun-09-2025=3***Jun-10-2025=1***Jun-11-2025=2***Jun-12-2025=3***Jun-13-2025=6***Jun-17-2025=4***Jun-18-2025=1***Jun-19-2025=2***Jun-20-2025=1***Jun-21-2025=1***Jun-23-2025=1***Jun-24-2025=2***Jun-25-2025=5***Jun-26-2025=1***Jun-27-2025=1***Jun-28-2025=1***Jun-29-2025=2***Jun-30-2025=3***Jul-01-2025=4***Jul-02-2025=7***Jul-03-2025=3***Jul-04-2025=2***Jul-06-2025=3***Jul-07-2025=4***Jul-09-2025=1***Jul-10-2025=2***Jul-11-2025=1***Jul-14-2025=1***Jul-15-2025=7***Jul-17-2025=2***Jul-21-2025=3***Jul-22-2025=1***Jul-23-2025=2***Jul-24-2025=2***Jul-26-2025=1***Jul-27-2025=2***Jul-28-2025=2***Jul-31-2025=1***Aug-05-2025=1***Aug-08-2025=4***Aug-11-2025=4***Aug-16-2025=1***Aug-17-2025=2***Aug-22-2025=1***Aug-28-2025=3***Aug-29-2025=4***Aug-31-2025=1***Sep-03-2025=1***Sep-05-2025=1***Sep-09-2025=1***Sep-15-2025=3***Sep-16-2025=2***Sep-22-2025=1***Sep-23-2025=1***Sep-24-2025=2***Sep-26-2025=1***Sep-27-2025=4***Sep-28-2025=1***Sep-29-2025=1***Oct-01-2025=1***Oct-03-2025=1***Oct-04-2025=1***Oct-05-2025=1***Oct-06-2025=2***Oct-07-2025=2***Oct-08-2025=1***Oct-09-2025=1***Oct-12-2025=1***Oct-24-2025=1***Oct-27-2025=2***Oct-28-2025=2***Nov-02-2025=1***Nov-30-2025=1***Dec-02-2025=1***Dec-08-2025=1***Dec-10-2025=1***Dec-14-2025=1***Dec-16-2025=1***Dec-21-2025=2***Dec-23-2025=1***Dec-30-2025=3***Jan-04-2026=2***Jan-09-2026=2***Jan-11-2026=1***Jan-14-2026=2***Jan-22-2026=1***Jan-23-2026=2***Feb-02-2026=1***Feb-10-2026=3***Feb-15-2026=2***Feb-20-2026=1***Feb-24-2026=1***Mar-07-2026=2***Mar-10-2026=1***Mar-13-2026=1***Mar-23-2026=1***Mar-25-2026=2***Apr-05-2026=1***Apr-06-2026=1***Apr-07-2026=2***Apr-17-2026=1' WHERE job_id'1376848'  
0.0007   UPDATE employer_jobs SET monthly_hits '***May-2025=274***Jun-2025=57***Jul-2025=51***Aug-2025=21***Sep-2025=19***Oct-2025=16***Nov-2025=2***Dec-2025=11***Jan-2026=10***Feb-2026=8***Mar-2026=7***Apr-2026=5' WHERE job_id'1376848'  
0.0009   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1376848' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1376848 
0.0026   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '414959'
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)