MIKLISA AGROGRUPP

Initial Data

Website age:
6 years
Business Type:
e-commerce — online store for mini-agricultural machinery spare parts
Promotion region:
Ukraine
Advertising platform:
Google ADS
At the launch stage, the project:
had a wide range of spare parts, but website traffic was unsystematic. The lack of configured analytics made it impossible to understand which specific product categories (engines, transmission, attachments) were generating real orders and which were simply draining the budget.

Objectives

  • /01 Launch effective search advertising for the mini-tractor and motor-block (power tiller) spare parts niche.
  • /02 Establish ad displays for highly specialized technical queries (SKUs, engine models).
  • /03 Increase traffic relevance through deep negative keyword processing (filtering out queries for used parts, repairs, or large-scale agricultural machinery).
  • /04 Set up E-commerce tracking and Call-tracking, as phone consultations are critical in this niche.
  • /05 Create a campaign structure designed for rapid scaling to new machinery models.

Implementation Strategy

The strategy relied on segmenting advertising campaigns by machinery types (motor-blocks, mini-tractors, mowers) and separately by brands (Zubr, Forte, Kentavr, etc.). The primary focus was placed on satisfying specific “here and now” demand, as the speed of finding a part in the agricultural sector is often tied to urgent field work.

Work Performed

Semantic Core Collection and Clustering

  • Analyzed specific technical user queries, including markings for spare parts and engines (e.g., “spare parts for 190N engine”).

  • Formed a semantic core divided into categories: branded queries, categorical queries (gearbox parts, piston kits), and service queries.

  • Performed clustering to create maximum relevance between ads and each group of spare parts.

Ad Campaign Structuring

  • Created a tree-like structure of ad groups that corresponds to the website’s navigation.

  • Configured geotargeting across Ukraine, excluding temporarily occupied territories.

  • Selected bidding strategies focused on maximizing clicks at the initial stage, with a transition to maximizing conversions.

Development of Responsive Search Ads (RSA)

  • Prepared ad copies emphasizing product availability, fast “same-day” shipping, and professional consultation.

  • Utilized dynamic headlines for precise matching with user search queries.

Ad Extension Configuration

  • Added “Price” extensions to demonstrate the cost of popular items directly in the search results.

  • Configured “Call” extensions and “Sitelinks” to the main catalog sections and the delivery/payment page.

Traffic Optimization

  • Developed a multi-level list of negative keywords to cut off non-target traffic (e.g., “DIY,” “drawings,” “forum,” “used”).

  • Performed regular analysis of search term reports to refine semantics.

Analytics and Remarketing

  • Set up Google Analytics 4 (GA4) and event tracking (add to cart, checkout, contact button clicks).

  • Created remarketing lists to remind users who searched for parts but did not complete a purchase about the store.

Results

A full-scale search infrastructure in Google Ads was launched for the specialized e-commerce project.
Ensured an influx of target buyers interested in specific components and assemblies.
Achieved a high Ad Quality Score (8-10/10) due to precise clustering and relevant landing pages.
Configured analytics allowed for a clear calculation of Customer Acquisition Cost (CAC).
Formed a solid foundation for the future integration of Google Shopping (Merchant Center) campaigns.
A full-scale search infrastructure in Google Ads was launched for the specialized e-commerce project.
Ensured an influx of target buyers interested in specific components and assemblies.
Achieved a high Ad Quality Score (8-10/10) due to precise clustering and relevant landing pages.
Configured analytics allowed for a clear calculation of Customer Acquisition Cost (CAC).
Formed a solid foundation for the future integration of Google Shopping (Merchant Center) campaigns.

Analysis and confirmation of results

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