Hans

Performance Marketing Specialist | Driving Profitable Growth via Cross-Channel A

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Overview

Looking for full-time work (8 hours/day)

at $14.99/hour ($2,880.00/month)

Bachelors degree

Last Active

April 26th, 2026 (7 days ago)

Member Since

May 19th, 2025

Profile Description

Are you tracking vanity metrics or actual profit?

I'm a results-driven media buyer and digital marketer with a strong foundation in information technology and years of hands-on experience managing and optimizing paid media campaigns across Google Ads, Meta, and X Ads.
I specialize in:

High-Performance Campaign Strategy
I structure and manage search campaigns with strict segmentation (Brand, Non-Brand, Competitor) to avoid cannibalization and maximize intent matching.
Attribution Analysis & Manual Data Entry (MAIT)

Skilled in tracking and consolidating sales across multiple platforms manually when needed. I handle manual attribution entry, cross-referencing CRM sales data, UTMs, ad platforms, and landing page behavior to assign the correct source to each sale.

Keyword & Creative Angle Research
I identify high-intent keywords and map them to tailored ad angles such as detox, wellness, testosterone, and biohacking that resonate with target audiences.

Campaign Setup & Optimization
Daily optimization of search, social, and retargeting campaigns. I manage budgets, placements, ad copy, and bidding strategies to maximize ROAS and minimize CAC.
Data Handling & Reporting

Highly organized and tech-savvy with strong skills in spreadsheets, CRMs, analytics dashboards, and clear attribution reporting.

Tech-Smart Execution
As a graduate of Information Technology, I bring technical precision to media buying including troubleshooting tracking issues, refining attribution models, and managing campaign data at scale.
I'm passionate about building efficient ad systems that drive real sales, not just clicks. I work best with teams that value data, clean structures, and clear attribution.

Let’s work together if you need someone who can not only run your ads but also help you understand what’s working, why, and where to scale profitably.

Top Skills

Marketing » Performance Marketing

Experience: 2 - 5 years

Advertising » Google Ads

Experience: 2 - 5 years

Advertising » Facebook Ads

Experience: 2 - 5 years

Other Skills

Advertising » Twitter Ads

Experience: 1 - 2 years

Advertising » Tiktok Ads

Experience: 1 - 2 years

Marketing » Social Media Management » Social Media Marketing

Experience: 2 - 5 years

Marketing » Digital Marketing

Experience: 2 - 5 years

Basic Information

Age: 27

Gender: Male

Website: Sign Up with Pro Account to View

Address: Bacoor, Cavite

Tests Taken: IQ
Score: 120: DISC
Dominance: 48
Influence: 8
Steadiness: 30
Compliance: 14: English
C2(Advanced/Mastery)

Government ID: Sign Up with Pro Account to View

“I can't be happier!”

Brian McAlister

SEE MORE REAL RESULTS

“He's been absolutely superb!”

- Ed Currer

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0007
Controller Execution Time ( Jobseekers / Info )	0.0257
Total Execution Time	0.0270

GET DATA

No GET data exists

MEMORY USAGE

1,603,648 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/4179826

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0166 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0013	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4179826' LIMIT 1
0.0024	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '4179826'
0.0015	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '4179826'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4179826' AND `is_private` = 1
0.0002	`SELECT * FROM employment WHERE jobseeker_id = '4179826' AND hired > -1`
0.0002	`SELECT employers.contact_name, ec.employer_id, ec.jobseekers_id, ec.is_jobseeker_reply, ec.employer_date, ec.employer_comment, ec.lastmodified FROM employers LEFT JOIN employer_comment ec on employers.employer_id = ec.employer_id WHERE ec.jobseekers_id = '4179826' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0002	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 4179826 LIMIT 1`
0.0004	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 4179826 LIMIT 1`
0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '4179826' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0003	`SELECT *, DATEDIFF('2026-05-03',rebill_date) duration_rebill FROM employers WHERE employer_id = ''`
0.0003	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0013	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '4179826'
0.0022	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0017	SELECT `jsct`., `jsct`.`id` as `jsct_id`, `sct`. FROM `jobseekers_skills_categories` `jsct` LEFT JOIN `skills_categories` `sct` ON `sct`.`id` = `jsct`.`skill_category_id` WHERE `sct`.`is_approved` = 1 AND `jsct`.`jobseeker_id` = '4179826' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '4179826'
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0002	`select * from teasers`
0.0003	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1777811155
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/4179826
csrf-token	58b42b936d8c706b91497f3a86f5256c

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enable_profiler
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uri_protocol	PATH_INFO
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honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
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HTTP_CONNECTION	Upgrade
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REMOTE_ADDR	127.0.0.1
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HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
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SERVER_PROTOCOL	HTTP/1.1
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HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.217.93
HTTP_DNT