Sofiia Nadolska
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Kyiv,
Ukraine
9 days 17 hours back
available for hire
on the service 3 years
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Photo, Audio & Video
Portfolio
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Microdosing (dietary supplements): x15 purchases and income of 285,000 UAH
Contextual Advertising
The client is an online store in the microdosing and dietary supplements niche. At the start of the collaboration, the advertising was formally working, but it was impossible to assess real effectiveness due to broken tracking, blocked products in the Merchant Center, and lack of campaign structure.
Point A — October 2025:
Expenses: 18,300 UAH
… Number of purchases: 18
Revenue: 13,170 UAH
Actual ROAS: 19.81% — meaning the advertising was operating at a significant loss.
Where the real problem was:
Purchases were recorded as Direct / Referral, not as a result of Google Ads — because during payment, the user was redirected to the external domain of the payment service Chekly. GA4 lost the session and attributed the conversion to direct traffic. This meant that the real ROAS was significantly higher, but the dashboard showed a distorted picture, and the algorithms were optimized on false data. Meanwhile, some products did not pass moderation in the Merchant Center, limiting the reach of Shopping and Performance Max campaigns.
What we did:
The first step was to restore tracking. We set up a custom domain checkout.muxomor.ua for the payment page, updated DNS records, and after the migration, updated the Chekly script in the admin panel. Now GA4 correctly records all purchases from Google Ads without session breaks.
At the same time, we connected ShoppingFeeder to work with the product feed, optimized product names and descriptions according to Google Merchant Center requirements, and corrected attributes — prices, availability, categories. The percentage of approved products in the feed significantly increased, and Shopping and PMax campaigns received a full assortment for display.
We built a clear campaign structure: Shopping + Performance Max + Search — each format for its role in the funnel. After restoring correct analytics, we gained the ability to make decisions based on real data and are preparing for full-scale scaling.
Point B — last 30 days:
Expenses: 111,500 UAH
Number of purchases: 276 (×15)
Revenue: 285,533 UAH
Important: some purchases are still attributed as Direct / Referral due to the transitional period after the domain change — the real effectiveness of Google Ads is higher than what the current analytics shows.
#GoogleAds #PerformanceMax #PMax #GoogleShopping #ShoppingAds #MerchantCenter #GoogleMerchantCenter #productfeed #GA4 #GoogleAnalytics4 #GTM #GoogleTagManager #ConversionTracking #DemandGen #DSA #dynamicads #remarketing #dynamicremarketing #DisplayNetwork #SearchAds #contextualadvertising #targetedadvertising #ROAS #CPA #PPC #PerformanceMarketing #ecommerce #onlineStore #ecommerceAdvertising #EcommerceMarketing #AdvertisingForOnlineStores #campaignScaling #ProjectScaling #salesFunnel #digitalMarketing #onlineAdvertising #advertisingDashboard #MetaAds #FacebookAds #InstagramAds #FacebookPixel #MetaBusinessManager #LeadGeneration #LookalikeAudiences #AdvertisingAnalytics #ConversionSetup #AdvertisingAudit #AdvertisingOptimization #BudgetManagement #MarketingStrategy #PerformanceAgency #googleads #googleanalytics #contextualAdvertising #targetedAdvertising #advertisingSetup #advertisingManagement #internetAdvertising #internetMarketing #googleAdvertising #googleAdsSetup #productAdvertising #dynamicAds #remarketing #merchantCenter #googleMerchant #smartDisplay #salesIncrease #profitIncrease #advertisingAgency #businessPromotion #leads #traffic #ppcSpecialist
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Pizza delivery in Ivano-Frankivsk: -77% CPA and +716% conversions
Contextual Advertising
The client is a pizza and sushi delivery service in Ivano-Frankivsk. Initially, the advertising was already running but yielded limited results: low traffic, few orders, and an inflated cost per conversion.
Point A:
Impressions: 20,900
… Clicks: 1,180
Conversions: 69
CPA: 307 UAH
Point B — December 2025:
Impressions: 137,000 (+555%)
Clicks: 4,670 (+296%)
Conversions: 563 (+716%)
CPA: 71 UAH (−77%)
What was done:
1. The first step was to separate pizza and sushi into different campaigns — so the algorithm could optimize for different audience intents and corresponding creatives, rather than mixing signals between categories.
2. The main campaigns were switched to result-oriented strategies: maximizing value and maximizing conversions.
3. Local targeting was set up focusing on the city, region, and a 3 km radius — this sharply reduced non-targeted impressions and increased traffic relevance.
4. Budgets were scaled gradually, concentrating them on campaigns with the best CPA.
5. Test campaigns with no results were switched to limited mode or paused — to avoid diluting the budget.
Challenges and how they were solved:
High CPA at the start (307 UAH) — the campaign structure was redesigned by categories, switched to conversion strategies, and budget was concentrated on leading campaigns. CPA dropped to 71 UAH.
Uneven effectiveness of formats — Demand Gen showed the weakest results. It was kept as a supplementary and testing channel, while the main budget was shifted to Performance Max with a lower CPA. Overall account effectiveness increased.
Need to scale orders without losing profitability — volume was increased through PMax campaigns while simultaneously lowering CPC and increasing CR. ROAS remained stable even during scaling.
Result:
CPA: from 307 to 71 UAH (−77%)
Conversions: from 69 to 563 (+716%)
Impressions: +555%, clicks: +296%
ROAS: stable during scaling
#GoogleAds #PerformanceMax #PMax #GoogleShopping #ShoppingAds #MerchantCenter #GoogleMerchantCenter #productfeed #GA4 #GoogleAnalytics4 #GTM #GoogleTagManager #ConversionTracking #DemandGen #DSA #dynamicads #remarketing #dynamicremarketing #DisplayNetwork #SearchAds #contextualadvertising #targetedadvertising #ROAS #CPA #PPC #PerformanceMarketing #ecommerce #onlinestore #advertisingforecommerce #EcommerceMarketing #AdvertisingForOnlineStores #campaignscaling #ProjectScaling #salesfunnel #digitalmarketing #onlineadvertising #advertisingdashboard #MetaAds #FacebookAds #InstagramAds #FacebookPixel #MetaBusinessManager #LeadGeneration #LookalikeAudiences #AdvertisingAnalytics #ConversionSetup #AdvertisingAudit #AdvertisingOptimization #BudgetManagement #MarketingStrategy #PerformanceAgency #googleads #googleanalytics #contextualadvertising #targetedadvertising #advertisingsetup #advertisingmanagement #internetadvertising #internetmarketing #googleadvertising #googleadssetup #googleadsorder #productadvertising #dynamicads #remarketing #merchantcenter #googlemerchant #smartdisplay #salesincrease #profitincrease #advertisingagency #businesspromotion #leads #traffic #ppcspecialist
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Medical laboratory: 627 conversions at 50 UAH each
Contextual Advertising
Point A — what the client came with
- Few active campaigns that did not cover all areas
- Applications came in unevenly, without a predictable flow
… - CPA was inflated relative to the market
- Campaigns were not divided by services — everything in one
- A significant portion of traffic did not match the target audience
The first months of work are always a testing phase: we tested hypotheses, selected creatives, and built the account structure. There were fewer conversions, but that was when the foundation for stable results was laid.
Point B — current result
December 2025:
Expenses: 32,000 UAH (−11%)
Conversions: 627 (+20%)
CPA: 50 UAH (−26%)
Less spending, more applications, lower cost per result — this is growth in efficiency. Achieved through optimizing the structure of campaigns, local focus, and transitioning to conversion strategies.
How we did it — campaign structure
We built the account architecture for different user intents, rather than one universal campaign for everything.
Search campaigns:
- branded — protecting own traffic
- on competitors — intercepting interested audience
- on services and analyses — working with specific demand
Performance Max:
- a separate campaign for promotions, discounts, and special offers with corresponding creatives
YouTube:
- a campaign for brand awareness and demand generation in the region
All campaigns are set to the "Maximize Conversions" strategy — under the conditions of this project, it provides consistently better results than working on clicks or impressions.
What was the key to the result
1. Division by services — each direction has a separate campaign, keywords, and creatives for its audience
2. Local targeting — all traffic is tailored to the Transcarpathian region, which increases relevance and reduces costs for non-targeted impressions
3. Working on conversions, not traffic — every hryvnia of the budget is evaluated through results
4. Gradual scaling — first testing and confirming the hypothesis, then increasing the budget for what works
Challenges and how we solved them
Few conversions at the start: we tested different campaign formats, keyword options, and ad texts — finding what delivers results in this niche.
Non-targeted traffic: systematically expanded the list of negative keywords, adjusted bids, and narrowed targeting at the query level.
Uneven effectiveness between directions: redistributed the budget to services with the highest conversion rates — diabetes, branded queries, and popular analyses.
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Solar panels: 337 UAH per application due to segmentation of directions
Contextual Advertising
The client — a company specializing in the installation of solar power plants — came in 2023 with two active directions: green tariff and solar power systems for homes. The cost per lead at the start was 652 UAH, the campaign structure was minimal, and different audience segments received the same communication regardless of their actual needs.
Strategy: one direction — one campaign:
… The key decision was to abandon universal campaigns and work out each direction in detail separately with its own creatives, messages, and communication logic. Currently, there are 6 independent campaigns running:
1. Green tariff — search and Performance Max with creatives explaining the benefits and opportunities of the program for consumers.
2. Solar power systems for homes — search campaign targeting an audience that is already specifically looking for solar system installations.
3. Active consumers — search campaign with messages addressing the pain points of people with high electricity bills.
4. Portable stations — Performance Max with creatives for those looking for compact alternative power solutions.
5. Hybrid solar power systems — Performance Max for those wanting a simple comprehensive solution for home or business.
6. Energy production installations — Performance Max for an audience interested in earning from selling excess energy.
This approach allowed for showing relevant communication to each segment, improving lead quality, and reducing acquisition costs without increasing the overall budget.
Technical issues and their solutions:
The first problem arose after moving to a new website — Google blocked part of the ads due to "landing page mismatch." Appeals were submitted, active communication with support was maintained, and some campaigns had to be restarted and re-optimized. The result was positive: the new website had better landing page quality, which improved overall campaign metrics after unblocking.
The second problem — after changing the website, conversions and events stopped being transmitted correctly. All events in GTM were completely reconfigured, and a new connection between Google Ads and the client's CRM system was established. Now the analytics provides a clear and reliable picture for each direction.
The third problem — at a certain stage, the quiz form began generating up to 70% irrelevant applications and bots. The quiz funnel was analyzed, the weak entry point was identified, and recommendations were provided to the client for improving the form logic and implementing a captcha. The share of irrelevant applications decreased from 70% to 30%.
Result:
CPL: from 652 UAH to 337 UAH (-48%)
Number of active campaigns: from 2 to 6
Coverage of directions: complete — from portable stations to energy production installations
Conversion tracking: fully reconfigured and synchronized with CRM
Lead quality from the quiz: improved, share of bots reduced from 70% to 30%
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Women's lingerie brand: ROAS 500% and +31% value without changing the budget
Contextual Advertising
The client is a women's lingerie and swimwear brand with four product categories: pajamas, lingerie, sexy lingerie, and swimwear. Before the collaboration began, advertising was already running, but without a clear campaign structure, problematic tracking, and blocked products in the Merchant Center. The task is to increase return on ad spend (ROAS) and conversion value without a proportional increase in budget.
Campaign strategy and structure:
… The foundation was built on three principles that most overlook: keyword clustering, breaking down products into separate campaigns by category, and testing audience signals in Performance Max. Separate PMax campaigns were launched for each of the four product categories, divided by language — the approach "1 language — 1 category." At the same time, remarketing campaigns were connected to bring back warm audiences. This structure allows Google’s algorithms to learn from more accurate data and not mix signals between dissimilar product categories.
Unlocking Google Merchant Center:
At the start, 80% of products were blocked due to explicit content — this kept the ROAS at a low level since the leading products simply did not appear. We decided to address this systematically: submitting 200 products for moderation daily, removing the "18+ products" checkbox in the settings, replacing photos of explicit sets on bodies with images on a transparent mannequin or hanger, and automatically removing trigger words from product titles and descriptions. After unlocking the products, ROAS began to grow even before any changes in the campaign structure.
Setting up conversion tracking:
At the beginning of the work, purchase tracking was set up exclusively through GA4 — order data was transmitted with a delay of up to 72 hours, and some conversions were duplicated. This meant that Google Ads was making bidding optimization decisions based on distorted data. We conducted deduplication of events, set up direct conversion transmission from the ad cabinet as a backup channel — this ensures continuity of tracking even if something breaks at the analytics level. Additionally, we removed phone clicks, add-to-cart actions, and start of checkout from the main conversions — leaving only the primary conversion "purchase." Without this, Google cannot correctly optimize campaigns.
Results:
ROAS: from 309% to 500% (+62%)
Budget: reduced from 386K to 311K UAH
Cost per conversion: from 483 to 351 UAH (-27%)
Conversion value: from 1.19 to 1.56 million UAH (+31%)
#GoogleAds #PerformanceMax #PMax #GoogleShopping #ShoppingAds #MerchantCenter #GoogleMerchantCenter #productfeed #GA4 #GoogleAnalytics4 #GTM #GoogleTagManager #ConversionTracking #DemandGen #DSA #dynamicads #remarketing #dynamicremarketing #DisplayNetwork #SearchAds #contextualadvertising #targetedadvertising #ROAS #CPA #PPC #PerformanceMarketing #ecommerce #onlinestore #advertisingforecommerce #EcommerceMarketing #AdvertisingForOnlineStores #campaignscaling #ProjectScaling #salesfunnel #digitalmarketing #onlineadvertising #adcabinet #MetaAds #FacebookAds #InstagramAds #FacebookPixel #MetaBusinessManager #LeadGeneration #LookalikeAudiences #AdAnalytics #ConversionSetup #AdAudit #AdOptimization #BudgetManagement #MarketingStrategy #PerformanceAgency #googleads #googleanalytics #contextualadvertising #targetedadvertising #adsetup #admanagement #internetadvertising #internetmarketing #googleadvertising #googleadssetup #googleadsorder #productadvertising #dynamicads #remarketing #merchantcenter #googlemerchant #smartdisplaynetwork #salesincrease #profitincrease #advertisingagency #businesspromotion #leads #traffic #ppcspecialist
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Feed manufacturer: ROAS 2700% and +69% to overall profitability in 2 months
Contextual Advertising
The client is a Ukrainian pet food manufacturer with its own product lines. At the time of active scaling, advertising was already running and yielding stable results. The main task was to reduce dependence on branded traffic and attract new customers through non-branded campaigns, which at that time were underdeveloped.
Campaign structure by funnel:
… The strategy was built according to the full TOF → MOF → BOF structure. At the top level of the funnel, Performance Max and Demand Gen campaigns with video creatives were launched, segmented by product lines. This segmentation allowed for the communication of relevant benefits of each diet to a specific audience, rather than showing one generalized message to all. At the search level, Search campaigns were connected with targeting based on search terms and interests.
At the middle and bottom levels of the funnel, dynamic remarketing was launched with personalized banners: "come back to your order," "your pet is hungry," "repeat your order." Audiences were separately segmented — website visitors, visitors to specific product line pages, cat and dog owners separately.
The key positioning in the creatives is high quality at an affordable price. This idea was consistently communicated across all formats as the brand's main message.
Technical problems and their solutions:
The first problem was data discrepancies between Google Ads and the client's CRM. Conversion tracking was set up through GA4, which provided a distorted picture. We reconfigured the transfer of purchases directly to Google Ads and implemented regular reconciliation with the CRM to control data quality.
The second problem was that analytics did not separate new and repeat customers, although this was a critical metric for the client in the context of scaling acquisition. We wrote a technical task for the CRM developers, implemented integration with GA4, and now use this data for more accurate campaign settings and assessment of actual new audience growth.
The third problem was force majeure. The client's warehouse was destroyed, making stable logistics impossible and forcing the suspension of most campaigns. Instead of simply turning off the ads and waiting, we launched a separate campaign with adapted creatives and an honest message about the situation — calling for support for Ukrainian businesses. The audience that was aware of the event was willing to wait for delivery, which almost completely eliminated order cancellations due to delays. The campaign performed with a return on ad spend (ROAS) of 2700%.
Results after two months:
- Overall return: +69%
- ROAS of non-branded campaigns: 616% and 1154%
- Conversion tracking: fully reconfigured and synchronized with CRM
- Segmentation of new and repeat customers: implemented and working in real-time
- Crisis campaign during warehouse destruction: ROAS 2700%
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Reduced the application price from $5.07 to $2.75 for the bakery manufacturer (B2B)
Social Media Advertising
The client, a manufacturer of baked goods and semi-finished products, approached with the task of scaling and finding new partners to expand distribution channels. Advertising collaboration had already been conducted but was focused on end consumers: informing about promotions in regions and increasing brand awareness. Lead generation was tested; however, the cost per lead at $5.07 made B2B engagement unprofitable.
Two parallel directions:
… Instead of mixing B2C and B2B in one advertising cabinet, we divided the strategy into two independent directions. The first is comprehensive campaigns for end consumers: a wide audience, regional targeting, informing about promotional offers, and working on brand recognition. The second is a separate lead generation funnel exclusively for B2B partners with its own logic, creatives, and conversion point.
Building the B2B funnel:
At the testing stage, we compared video and static formats — video showed higher engagement and a greater number of quality transitions, so it became the main format. Simultaneously, we launched campaigns targeting three types of audiences: broad, interest-based, and Lookalike based on existing partners and clients. Traffic was directed not to a regular landing page but to a quiz site — this allowed us to qualify leads immediately and filter out irrelevant applications before contacting the manager.
Optimizing lead quality:
Some applications at the start did not match the partner profile — people looking for retail purchases rather than collaboration came in. We decided to update the creatives: we shot new videos with clear positioning and a direct message about who we are looking for. We updated the advertising texts based on real inquiries from suitable partners. The result — the number of irrelevant applications significantly decreased, and lead quality increased.
Optimizing the quiz:
A separate focus became the conversion within the quiz — some users did not reach the end. We analyzed the funnel passage: identified questions with the highest dropout rates, shortened unnecessary steps, simplified wording, and improved the logic of transitions between screens. This directly affected the number of completed applications and reduced the overall CPL.
Result:
- CPL: from $5.07 to $2.75 — a decrease of 46%
- Lead quality: significantly increased due to audience segmentation and updated creatives
- The most effective format identified: video advertising
- The B2B funnel is completely separated from B2C and operates independently
#GoogleAds #PerformanceMax #PMax #GoogleShopping #ShoppingAds #MerchantCenter #GoogleMerchantCenter #productfeed #GA4 #GoogleAnalytics4 #GTM #GoogleTagManager #ConversionTracking #DemandGen #DSA #dynamicads #remarketing #dynamicremarketing #DisplayNetwork #SearchAds #contextualadvertising #targetedadvertising #ROAS #CPA #PPC #PerformanceMarketing #ecommerce #onlinestore #advertisingforecommerce #EcommerceMarketing #AdvertisingForOnlineStores #campaignscaling #ProjectScaling #salesfunnel #digitalmarketing #onlineadvertising #advertisingcabinet #MetaAds #FacebookAds #InstagramAds #FacebookPixel #MetaBusinessManager #LeadGeneration #LookalikeAudiences #AdvertisingAnalytics #ConversionSetup #AdvertisingAudit #AdvertisingOptimization #BudgetManagement #MarketingStrategy #PerformanceAgency #googleads #googleanalytics #contextualadvertising #targetedadvertising #advertisingsetup #advertisingmanagement #internetadvertising #internetmarketing #googleadvertising #advertisinggoogle #googleadssetup #googleadsorder #productadvertising #dynamicads #remarketing #merchantcenter #googlemerchant #smartdisplaynetwork #salesincrease #profitincrease #advertisingagency #businesspromotion #leads #traffic #ppcspecialist
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Tactical medicine: +42% ROAS and +28% sales without increasing the budget
Social Media Advertising
The project in the tactical medicine niche is one of our long-term collaborations: we have been working together for over two years. At the beginning of 2025, we set specific goals: to increase the number of purchases, raise ROAS, and overall revenue from advertising campaigns. A key condition is no budget increase. Starting point: ROAS 5.84, unstable campaign results, and room for optimization.
Audit and restructuring of the ad account:
… The first step was a detailed audit of the Meta ad account. We found that part of the budget was spent on low-performing formats, and the campaign structure did not align with the funnel logic. We redistributed budgets in favor of effective formats, adjusted optimization goals, and updated the ad group structure.
Combined approach to formats:
Instead of betting on one format, we launched three types of campaigns simultaneously: product catalogs for dynamic display of relevant products, static banners for brand awareness, and video creatives to increase engagement. This mix allowed us to systematically cover all stages of the funnel—from the first contact with the brand to the final step of purchase.
Three-tiered audience work:
For scaling, we used a broad audience with a single age restriction—according to the target customer profile. We gave Meta's algorithms enough freedom to find potential buyers without excessive segmentation. At the same time, we launched LAL audiences (Lookalike) based on the existing customer base and those who had already made purchases—this allowed us to find new users with high similarity to actual buyers. The third level involved retargeting campaigns for warm traffic: separately for website visitors, separately for those who viewed products, and separately for those who added products to the cart but did not complete the order.
Working with Meta's restrictions:
The tactical medicine niche has a specific risk—falling under Meta's policy regarding military content. In practice, this meant ad blocking, reduced impressions, or delivery limitations. To avoid this, we completely revamped our approach to creatives: we removed any images of weapons, traumatic scenes, sharp objects, and other triggers. Instead, we showcased medical kits in everyday and civilian contexts—tourist routes, sports activities, family safety. We emphasized the practical benefits of the product rather than its combat application. This approach allowed us to consistently pass moderation and maintain even ad delivery.
Results after optimization:
ROAS: +42% (from 5.84 to 8.29)
Number of purchases: +28%
Total revenue from campaigns: +37%
Budget: unchanged
#GoogleAds #PerformanceMax #PMax #GoogleShopping #ShoppingAds #MerchantCenter #GoogleMerchantCenter #productfeed #GA4 #GoogleAnalytics4 #GTM #GoogleTagManager #ConversionTracking #DemandGen #DSA #dynamicads #remarketing #dynamicremarketing #DisplayNetwork #SearchAds #contextualadvertising #targetedadvertising #ROAS #CPA #PPC #PerformanceMarketing #ecommerce #onlinestore #advertisingforecommerce #EcommerceMarketing #AdvertisingForOnlineStores #campaignscaling #ProjectScaling #salesfunnel #digitalmarketing #onlineadvertising #adaccount #MetaAds #FacebookAds #InstagramAds #FacebookPixel #MetaBusinessManager #LeadGeneration #LookalikeAudiences #AdAnalytics #ConversionSetup #AdAudit #AdOptimization #BudgetManagement #MarketingStrategy #PerformanceAgency #googleads #googleanalytics #contextualadvertising #targetedadvertising #adsetup #admanagement #internetadvertising #internetmarketing #googleadvertising #googleads #googleadssetup #googleadsorder #productadvertising #dynamicads #remarketing #merchantcenter #googlemerchant #smartdisplaynetwork #salesincrease #profitincrease #advertisingagency #businesspromotion #leads #traffic #ppcspecialist
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Children's toys: ROAS 487% — from 0 to 5 million UAH in turnover
Contextual Advertising
The client launched an online store ahead of the release of the movie "Minecraft," betting on a trending product with proven demand among teenagers. The starting point was just the website and the product range, without any advertising or analytics. The target KPI was a profitability of 330%.
What was done:
… At the preparation stage, we registered a Google Ads account without VAT, set up Google Merchant Center, and uploaded the product feed, connected GA4 with tracking of key events and conversions through GTM.
For a quick start, we launched Standard Shopping and search campaigns — in the first 15 days, we received 32 purchases necessary for training the algorithms.
Scaling was built on a complete funnel structure with 27 advertising campaigns:
TOF (top of funnel) — 5 Performance Max campaigns: separate UA and RU product feeds, banners with texts, plus separate campaigns for non-top products. 3 search campaigns with clustering into 10 ad groups (UA, RU, DSA). 2 Demand Gen campaigns: video reviews of top builders and banner formats.
MOF (middle of funnel) — dynamic remarketing in the Display Network to return those who abandoned their carts, and Demand Gen for all visitors without conversions. The peak in April ensured a wave of demand around the movie's release — the campaigns were ready to intercept it.
Results over 11 months:
- Invested in advertising: 1,100,000 UAH
- Turnover: 5,380,000 UAH
- Number of sales: 2,782
- ROAS: 487% — with a target KPI of 330%
Activity
| Latest proposals 10 | Budget | Added | Deadlines | Proposal | |
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Launch of a lead generation campaign
225 USD
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Meta Ads Setup
225 USD
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Google Shopping
90 USD
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Need a Meta (Instagram/Facebook) targeting specialist for the beauty sector (laser hair removal/cosmetology)
90 USD
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Marketer
270 USD
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Unlocking Google Ads
90 USD
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Setting up remarketing. Price is negotiable.
225 USD
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Marketer
292 USD
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Merchant advertising setup for the website
112 USD
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Support for Google Ads account management
112 USD
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