01About the client
02Goals and objectives
Result
- — Site visits
- — Average cost per transfer (UAH)
- — Average customer check (UAH)
ROAS (return on advertising investment)
Cost of one application
Number of leads received
Number of successfully closed clients
Prehistory
Results of the AC before starting work with us
Before the start of cooperation (key figures).
Before the start of cooperation (conversion).
Problems encountered
- Analytics connected and configured
- Expanding site categories according to collected SC
- Implementing a mini calculator to calculate the cost of the torus. This was necessary in order to understand which keywords brought purchases through the site and for what amounts
- Carrying out work to optimize the site for better loading speed
- Connecting Hotjar to analyze visitor behavior and find problem areas of the site.
- Setting up Data Studio for convenient viewing of marketing results from various traffic channels (not only from Google advertising, but also social networks and organic traffic)
The results of the AC after our work.
The first month of cooperation
The second month of work – after all technical settings and changes to the site have been made
Decision
Competitor analysis
Collection and clustering of SC
The software Key Collector helped us with the collection of the semantic core. We collected key queries in two languages, since the site was multilingual. This made it possible to show more relevant ads according to users' search phrases.
About 5,000 key queries were collected. After clustering the SJ, about 1,500 phrases were left for displaying our advertisements. Based on the reviewed key queries, we immediately formed groups with negative keywords.
After that, we wrote a TOR for the copywriter regarding writing advertisements and moved on to the next stage of work
Result of the collection of SC
Clustered SC
List of keywords in the advertising cabinet
Number of negative keywords and negative phrases collected
Advertisements
In almost every advertisement I tried to indicate the price per kg of cake. First of all, this was necessary in order to weed out to some extent users looking for cheap cakes. In addition, each advertisement emphasized that the cakes are made exclusively from natural ingredients and was divided into categories of requests.
For each group of keywords, 1-2 advertisements were written to rotate between them and determine which one was more effective
Number of advertisements that were written
Technical setup
- We set up the RK according to the cake categories and GEO queries (Kyiv/Brovary);
- according to the collected SY, we created over 500 groups with the necessary keywords and advertisements;
- We worked with the list of negative keywords based on the AC and individual ad groups;
- We made settings to display the necessary extensions.
- We immediately optimized at the device, audience and ad display time levels.
Some keywords for which ads were displayed
Advertising creatives for media AC
Data Studio
Dashboard view for the client
Optimization result
05 Technologies and tools
06 Client about the project
Many thanks to the team, they set up advertising, gave good recommendations. Many orders came from the current site, but experts say that better results can be achieved by improving the site. I think we will soon make adjustments and get more leads, I fully trust and recommend the performers.
Nataliia Romanchuk
Founder
07 Project team
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