The best works of freelancers in contextual advertising on Freelancehunt — examples of work performed in contextual advertising ― page 33

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Google Ads Meta Ads | Event business | USA

Contextual Advertising

What we did:
Restarted the structure of advertising campaigns
Conducted segmentation by geo and type of queries
Optimized semantics
… Developed dynamic search queries

Results:
In the first two months of work, raised ROAS to over 5 on Meta, and ROAS on Google to over 23
Reduced cost per sale CPA to $4.15
Increased sales by 300%
Average check increased by over 40%

arthur_tomniuk9
Cat

Contextual Advertising

#collage #AI-content #cat #Instagram #TikTok #content

angietime31
579 USD
Google Ads for services in Spain: 14 conversions and 20+ inquiries.

Contextual Advertising

Launched and technically refined a Google Ads advertising campaign for a local service in Spain: apartment clearing / furniture removal / apartment liberation in Valencia.

The project started as a test campaign for 14 days, but in fact, the task turned out to be broader: it was necessary not just to launch the advertisement, but to build a complete system for receiving and tracking requests.

… What was done:

— analyzed the niche of local services in Spain;
— agreed on the geography: Valencia + nearby radius;
— created a Google Ads search campaign for commercial queries;
— set a working schedule for displays on weekdays;
— identified key segments: apartment liberation, furniture removal, urgent clearing, commercial queries with price and intent to order the service;
— added 30+ negative keywords to filter out free and irrelevant traffic: free, city hall, donate, recycling, second hand, wallapop, and others;
— connected Google Tag Manager;
— set up events and conversions for WhatsApp Click, Phone Click, and request form;
— checked the operation of tags through Google Tag Assistant;
— replaced the phone number on the website and set up clickable contact buttons;
— created and connected a Telegram bot for instant receipt of requests from the website;
— configured the transmission of the source of the inquiry and key query in notifications;
— conducted manual optimization based on search queries, CPC, expenses, and quality of inquiries.

Result

During the Google Ads test period, the following was recorded:

— 152 clicks;
— 1,139 impressions;
— CTR 13.35%;
— average cost per click 1.46 €;
— expenditure 222.41 €;
— 14 tracked conversions;
— average cost per conversion 15.89 €.

The best segment showed particularly strong results: the keyword “company apartment clearing” generated 7 conversions at a cost of 67.62 €, which is about 9.66 € per conversion.

As a result of the test and post-test period, the campaign brought in 20+ incoming inquiries/contact actions via WhatsApp, calls, and the website form. Some inquiries turned into real orders. On certain days, the client recorded up to 3 orders from 4 inquiries, confirming the quality of traffic after cleaning the semantics.

After a contentious situation, the client confirmed that the advertisement continues to bring in requests, agreed to settle the remaining payment, and left a positive review. The project became not just an advertisement setup, but a complete working system: Google Ads → website → WhatsApp / call / form → Telegram bot → request.

#GoogleAds #ContextualAdvertising #GoogleAdsSpain #LeadGeneration #PerformanceMarketing #LocalServices #WhatsAppLeads #GoogleTagManager #GTM #TelegramBot #Valencia #Spain #SearchAdvertising #NegativeKeywords #Conversions #ServiceAdvertising

Me4Hik
335 USD
Transfer of actual REAL sales in Google Ads

Contextual Advertising

If you are running ads on Google and have an online store, there is a high probability that the dashboard sees a distorted picture of sales.

**Problem one: not all conversions reach the dashboard.** Some orders simply get lost along the way — technical limitations of the platform, blockers, browser features. In some cases, 20 to 50% of actual orders do not reach the dashboard. The algorithm learns from incomplete data and makes incorrect bidding decisions.

… **Problem two: those that do reach are dirty.** Among the recorded conversions, there are fake orders, duplicates, "just to find out the price," canceled and unclaimed packages. The dashboard counts them as real sales. In some cases, up to 30% of conversions are non-targeted. The algorithm learns from garbage data and spends the budget on audiences that do not buy.

The result in both cases is the same: you pay for advertising, but the algorithm does not work at full capacity.

## Solution

We connect CRM to the advertising dashboard in such a way that Google Ads receives data only about **actually completed orders** — those that the client has paid for and picked up. Daily, automatically, without manual actions.

The algorithm learns from clean data and optimizes the budget more effectively.

petrichenko
223 USD
Good + Google Ads: how we teach advertising based on real sales

Contextual Advertising

If you have a store on Khoroshop, there are two issues that are costing you money right now.

First: 20 to 50% of orders do not reach the advertising cabinet. Algorithms learn from incomplete data.

… Second: up to 30% of orders are fakes, duplicates, unclaimed parcels. The cabinet counts them as real sales and optimizes based on garbage.

We solved both problems in one project. We implemented two parallel data transmission channels — Measurement Protocol and offline conversions through GCLID. Fully automated, without manual manipulation. Despite the limitations in terms of access to the code on Khoroshop.

Now the advertising cabinet sees only real sales. Those that the client has paid for and picked up.

petrichenko
134 USD
Cross-analytics for lead generation (CRM SalesDrive)

Contextual Advertising

New integration! End-to-end analytics in this case is a system that connects advertising in Google Ads with real results in CRM SalesDrive.

Instead of standard metrics like "clicks and impressions," we see the complete journey: from the advertising campaign to the lead, from the lead to the deal status, from the deal to the money.

… Data is synchronized automatically. Once a week and once a month, the system collects information by itself and sends a ready report to Telegram. Nothing needs to be done manually.

The report shows three things. First — the quality of leads by status: how many deals are closed, how many are in negotiations, how many are new, how many are refusals, and what the amount is for each status.

Second — the return on advertising: ROAS based on actual sales and ROAS considering potential deals that may still close.

Third — breakdown by campaigns: which campaign brought in the most money, which generated the most leads, and which has the best return on investment for each hryvnia spent.

This allows for decision-making based on real numbers, not advertising metrics. It shows what really works and what eats the budget without results. The client receives the report directly on their phone in a convenient format — without tables, without explanations, without unnecessary questions.

petrichenko
1000 USD
Case: scaling Google Ads for e-commerce auto parts

Contextual Advertising

Project Context

The client approached with a task to scale Google Ads advertising in the auto parts niche — one of the most complex in terms of account structure and the functioning of Google algorithms. Prior to this request, the client had collaborated with several agencies. Despite the agencies' experience in Google Ads, the lack of deep expertise specifically in auto parts prevented achieving stable and predictable results.

… Initial Situation

The project had a number of systemic difficulties:
— a large product feed
— dozens of categories
— thousands of parts with varying applicability
— a wide price range even within a single category
— different margins and the impact of products on the average check

After the audit, a key limitation was identified:
contractors launched one or several campaigns for the entire feed, resulting in:
— Google effectively showing only 5–10% of products
— the majority of the assortment not receiving any impressions at all
— algorithms "getting stuck" on a narrow group of products

Key Issues

Feed impression limitations
Google could not learn effectively from a large array of products within a single campaign, so only the most "convenient" positions for the algorithm made it to the auction.

Bias towards ROAS
The algorithm sold only those products that fit within the specified ROAS, ignoring positions that:
— were profitable for the business
— brought customers to adjacent categories
— increased LTV and repeat sales

Lack of connection between average check and conversion price
The conversion price was assessed equally for all products, although the average check and margin differed fundamentally.

Decision Made

I abandoned the standard logic of "one feed — one campaign" and developed a personalized account structure with deep segmentation.

Implementation

Segmentation by price segments
The entire assortment was divided into price segments. For each segment:
— a specific acceptable conversion price was set
— the average check was taken into account
— the economics of the specific group of products was considered

This allowed:
— to eliminate inadequate order costs
— to equalize effectiveness among different price categories
— to stop "squeezing" profitable but more expensive products

Working with a large feed through additional feeds
To address the issue of slow product entry into impressions, a fragmentation strategy was applied:
— a segment of approximately 100,000 products was divided into 8–10 sub-feeds
— separate campaigns were launched for each sub-feed
— during the learning phase, products with the best performance were selected

Next, products were reassembled based on the logic of:
— "stars"
— "cash cows"
— products with growth potential
— underperformers

Each group received its own advertising logic.

Result

— scaling limitations were removed
— advertising stopped hitting algorithmic limits
— Google began to work evenly with the assortment
— advertising generates exactly the number of leads needed by the business

Important point:
scaling became manageable. If necessary, the volume of leads can be increased at any moment — without destroying the structure and losing effectiveness.

Summary for the Client

— a stable and controllable advertising system
— utilization of the real potential of the assortment
— turnover growth without bias towards individual products
— account structure tailored to the business, not to agency templates

elihu_expert
Creatives for targeting for the management company

Contextual Advertising

Creatives for targeting for the management company

doliaalina
Series of creatives for targeting

Contextual Advertising

Series of creatives for targeting

doliaalina
Target creatives

Contextual Advertising

Target creatives

doliaalina
Creative for the cryptocurrency niche

Contextual Advertising

Creative for the cryptocurrency niche

doliaalina
11 USD
Remarketing

Contextual Advertising

vasyl-lviv2

Contextual Advertising