Michael

Google Ads Manager

With Timeproof

mark as hired

Overview

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

at $6.69/hour ($1,272.74/month)

Bachelors degree

Last Active

January 17th, 2025 (470 days ago)

Member Since

January 7th, 2025

Profile Description

As a seasoned Google Ads Manager, I specialize in driving targeted, results-oriented advertising campaigns across Google’s vast network. With a deep understanding of paid search, display, YouTube, and shopping ads, I help businesses optimize their ad spend, increase ROI, and achieve measurable growth.
Whether you're a small business looking to build your online presence or an established brand seeking to scale, I offer tailored strategies that align with your specific goals. From keyword research and ad copywriting to campaign tracking and conversion optimization, I manage every aspect of your Google Ads account with precision and focus.
Key Services:
Campaign Setup & Management: Creating, launching, and monitoring Google Ads campaigns.
Performance Optimization: Continuous tweaking to improve CTR, Quality Score, and conversion rates.
Audience Targeting & Segmentation: Reaching the right customers through smart bidding strategies and demographic targeting.
Conversion Tracking & Analytics: Implementing tracking solutions to measure and enhance campaign performance.
Remarketing & Display Ads: Engaging potential customers who have interacted with your site or business.
With my experience and a data-driven approach, I ensure that your Google Ads budget works harder, driving valuable traffic and boosting your bottom line.
Let’s turn your clicks into customers and grow your business with precision and profitability.

Top Skills

Marketing » CRM » Insightly

Experience: 2 - 5 years

Leveraging Google Ads and Analytics data to track performance, generate reports, and provide actionable insights to clients or stakeholders, ensuring campaigns align with business goals.

Advertising » Campaign Building

Experience: 2 - 5 years

I’ve successfully built Google Ads campaigns specifically focused on generating high-quality leads for car dealerships, both for new and used vehicles. By utilizing advanced targeting techniques, I’ve ensured that ads reach potential buyers actively searching for cars, thereby maximizing test drive appointments and quote requests.

Marketing » Audience Engagement

Experience: 2 - 5 years

Experience in leveraging Google Ads to engage and convert audiences, I’ve developed a deep understanding of consumer behavior and how to craft ads that resonate with diverse audiences at each stage of the customer journey. I’ve used a combination of audience targeting techniques, compelling ad copy, and advanced analytics to create campaigns that drive engagement, foster relationships, and encourage action—whether it's a website visit, lead generation, or purchase.

Other Skills

Basic Information

Age: 36

Gender: Male

Website: Sign Up with Pro Account to View

Address

Tests Taken: DISC
Dominance: 50
Influence: 10
Steadiness: 26
Compliance: 14: English
C1(Advanced)

Government ID: Sign Up with Pro Account to View

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BENCHMARKS

Loading Time: Base Classes	0.0009
Controller Execution Time ( Jobseekers / Info )	0.0260
Total Execution Time	0.0275

GET DATA

No GET data exists

MEMORY USAGE

1,578,160 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/3911370

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0165 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0010	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '3911370' LIMIT 1
0.0015	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '3911370'
0.0014	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '3911370'
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0004	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '3911370' AND `is_private` = 1
0.0004	`SELECT * FROM employment WHERE jobseeker_id = '3911370' AND hired > -1`
0.0003	`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 = '3911370' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0004	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 3911370 LIMIT 1`
0.0005	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 3911370 LIMIT 1`
0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '3911370' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
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0.0004	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0007	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '3911370'
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0.0008	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` = '3911370' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '3911370'
0.0003	`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()
0.0004	`select * from teasers`
0.0004	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0005	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/3911370
csrf-token	4a70217fc0cf509343acb55220b4007b

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

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HTTP_CONNECTION	Upgrade
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SERVER_PROTOCOL	HTTP/1.1
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