Google AI Max: +50% Conversions in a Highly Competitive Waste Removal Niche

Project Overview

Client:  A company providing construction waste removal services with containers in Lviv
Industry:  local business, logistics & construction waste disposal
Geo: Lviv, Ukraine
Services: Google Ads Consulting, Google Ads Management Services
Language: Ukrainian
Project Duration: June 2024 – September 2025 (ongoing cooperation)

Initial Data

Problem: The client operates in a highly competitive industry. The primary issue was the high cost per click and the high cost per conversion. This made it difficult to consistently generate enough leads within budget.

Goal: Attract more potential customers while reducing the cost per click and conversion

Task

Implement a strategy utilizing Google AI Max to enhance campaign efficiency and achieve improved results without increasing ad spend.

Data Analysis

Audience: Homeowners and apartment owners undergoing renovations, construction companies, and private crews.

Competitors:  vp.lviv.ua, gruz-taxi.com.ua, cargolviv.com, vyvizsmittya.lviv.ua, dobrobrat.lviv.ua, as well as services like kabanchik.ua, olx.ua, list.in.ua.

Tools: Google Ads, Google Analytics.

Promotion Stages

We began by conducting a detailed analysis of the existing search campaign, which had already delivered some results but did not allow the client to scale further. Despite testing various bidding strategies, keyword groups, and targeting options, the market remained highly competitive, with the average CPC remaining around 30 UAH, while the cost per conversion reached 400 UAH. This limited the business’s ability to attract new clients within the set budget.

Our main objective was to improve campaign efficiency without increasing investment — lowering both CPC and CPA while driving more qualified leads. To achieve this, we integrated Google AI Max, a tool that surpasses traditional optimization and unlocks new opportunities in highly competitive niches.

Thanks to AI algorithms that analyze user behavior in real time, we were able to serve ads to the most relevant audiences. Automated keyword expansion, adaptive ad copy, and dynamic landing page selection not only broadened campaign reach but also helped focus on the warmest prospects — those most ready to convert.

Implementation & Optimization

We integrated AI Max into an existing search campaign that already had accumulated data on clicks, conversions, and user behavior. Thanks to this historical data, the algorithm had a solid foundation for learning and was able to deliver noticeable results much faster.

New Search Queries

After activating AI Max, the campaign significantly expanded its reach by capturing search terms that were not included in the original keyword list. Alongside standard queries such as “construction waste removal Lviv”, “container rental for construction debris”, and “debris removal Lviv”, new variations emerged: “waste container rental”, “debris container service”, and “rent a waste container”, among others.

vivizsmittya1

Some of these new queries began to generate real conversions, confirming AI Max’s effectiveness in expanding the funnel and attracting relevant customers who were previously not reached by a standard search campaign.

Negative Keywords Management

Although the campaign already had a carefully built negative keyword list, after launching AI Max, the algorithm began triggering ads for some irrelevant queries. To avoid wasted spend, we continued to regularly review the search term report and add negatives for keywords that did not generate conversions or were related to other services or locations. This confirmed that even the most advanced AI tools require systematic oversight to keep campaigns as efficient as possible.

Systematic Approach

From the very beginning, we established that AI Max is not an “autopilot” tool, but rather a part of a comprehensive strategy. That’s why we continuously monitored key metrics, analyzed conversions, and updated the negative keyword list. This approach maintained full control over the campaign while maximizing the potential of artificial intelligence by combining automation with hands-on management.

Results of Effective Google Advertising With AI Max

To measure effectiveness, we analyzed the campaign across two periods in the summer of 2025:

  • June 1 – July 15 — the campaign ran in a standard search format without AI Max.

  • July 16 – August 31 — the campaign after AI Max was activated.

An important note: the budget remained unchanged, which allowed us to objectively assess the direct impact of AI Max.

Key Metric Before AI Max (1.06 – 15.07) After AI Max (16.07 – 31.08) Change
Impressions 4,227 9,917 +135%
Clicks 699 1,079 +54%
CTR 16.54% 10.88% −34%
Average CPC 29.83 UAH 20.97 UAH −30%
Conversions 52 78 +50%
Cost per Conversion (CPA) 400.93 UAH 290.02 UAH −28%

June 1 – July 15:

vivizsmittya2

July 16 – August 31:

vivizsmittya3

What Changed?

Expanded Reach:
Impressions more than doubled (+135%). This indicates that AI Max has expanded its reach and begun displaying ads across a broader range of relevant search queries.

More Clicks at a Lower Cost:
Total clicks increased by 54% (from 699 to 1,079), while the average CPC dropped by nearly one-third (–29.7%). This allowed us to drive more traffic within the same budget.

Higher Conversions:
Conversions increased from 52 to 78 (+50%), indicating that the campaign generated significantly more genuine customer inquiries.

Lower Cost per Conversion:
The cost per acquisition (CPA) decreased from 400.93 UAH to 290.02 UAH (–27.7%), one of the key indicators confirming AI Max’s effectiveness.

CTR Adjustment:
CTR dropped slightly (from 16.54% to 10.88%), but the campaign still delivered a higher number of clicks and conversions overall. This is a natural outcome, as the algorithm began working with a broader pool of search queries — some with lower CTR but still capable of driving results.

What Did the Business Gain After Advertising with Panem?

  • Steady client growth without increasing the advertising budget
  • Expanded reach through new, high-intent search queries
  • Optimized customer acquisition costs

Conclusion

This case clearly demonstrates that even in a highly competitive niche, growth can be achieved without additional ad spend. Implementing AI Max reduced cost per acquisition by nearly 30% and delivered 50% more conversions within the same budget.

By combining automated algorithms with consistent oversight, we maintained a stable, manageable, and predictable campaign. Ultimately, AI Max became not just a cost-optimization tool but a powerful growth driver that opened new opportunities for the client’s business.

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