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Effective Google Ads Optimisation for Real Estate

Client: real estate industry

Location: Białystok, PL

Cooperation since: 2009

Project: Google Ads campaign

Scope of cooperation: marketing strategy, Google Ads strategy, Google Ads campaign optimisation, advanced analytics

Project background

As part of our long-term partnership with one of the leading companies in the real estate market, we identified an opportunity to improve the performance of their ongoing Google Ads campaigns. Leveraging our deep understanding of the client’s business and previous results, we proposed a new approach to their online advertising activities, with the primary goal of increasing the number of leads. Our comprehensive strategy combined historical data analysis, flexible budget management, and precise targeting supported by advanced analytical tools.

Challenge

During our account audit and market trend analysis, we identified a significant drop in demand in the final months of the year (November–December). In response, we proposed replacing a flat budget allocation model with a flexible planning approach, considering seasonality and historical performance. Another priority was adjusting the campaign structure and implementing the latest analytical solutions.

Solution

The starting point for optimisation was a complete overhaul of the Google Ads campaign structure. We replaced the existing setup with segmentation based on user goals and their stage in the purchase journey. The new structure included Brand, Generic, and Remarketing campaigns (segmented by journey length – up to 365 days), as well as Prospecting campaigns, including Display and Video formats.

The next step was budget redistribution based on seasonal demand fluctuations. We reduced spending during lower-conversion periods to intensify advertising efforts when users were more likely to make contact.

We also implemented a range of optimisation measures, including:

  • Enhanced conversions and updated remarketing tags
  • Bid strategy adjustments (e.g., target CPA and manual CPC) depending on campaign objectives
  • Regular query analysis and expansion of negative keyword lists
  • Leveraging GA4 data to build precise audience lists
  • A/B testing of bidding strategies, headlines, CTAs, and destination URLs within Google Ads experiments

At every stage, we provided ongoing support and consultancy, ensuring that campaign activities aligned with objectives and adapted to changing market conditions.



The collaboration resulted not only in improved advertising efficiency but also in higher-quality website traffic and better use of analytical data.

Technology

Project management

Jira, Confluence

Tools

Google Ads, Google Analytics, Google Tag Manager, Looker Studio

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