case studies (ENG)

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Goal: 500k viewers aged 25-44 (promoting 2 products: fast loans and  new Mastercard bank card), within 5 working days.  

Summary: The campaign strategically leveraged extensive data to  identify prime times for the target age group of 25-44, placing ads in  the city center during high-traffic lunch hours (11:00 AM to 2:00 PM) and  targeting morning commuters outside the city center. Advanced data  allowed ongoing analysis and adjustments to placements and timings  for optimal reach. The campaign’s data-driven approach and strategic  placements, supported by robust analytics, were instrumental in  surpassing the view goals and achieving high engagement.  

Request for DOOH: Data-driven targeting.  

Outcome: 720k+ viewers aged 25-44.

Goal: 100k viewers aged 25-44 with a required context of advertising

only during the lunch time.

Summary: Selected DOOH placements were in high-traffic urban areas

known to be frequented by the demographic during lunch hours.

Ensured ads were only shown at locations and times that aligned with

the known patterns of the 25-44 demographic. This campaign

demonstrated the effectiveness of using precise data to target specific

demographics at times and locations when they are most likely to be

receptive, resulting in a successful DOOH campaign with a high

engagement rate.

Request for DOOH: Data-driven targeting and creative enhancements.

Outcome: 130k+ viewers aged 25-44.

Goal: 700k viewers aged 25-44 (promotion of the brand through

a prize game); views evenly distributed daily.

Summary: To target individuals aged 25-44, the campaign utilized screens in high-traffic urban areas and near grocery

stores. Leveraging extensive data, advertisements were

scheduled during prime times for the demographic, aligning

with periods when consumers typically think about or purchase

cookies (late afternoon, mid-morning, weekends). The

campaign was optimized every 2 days to reflect the latest data.

Request for DOOH: Data-driven targeting.

Outcome: 900k+ viewers aged 25-44.

Goal: 500k viewers aged 35-54 (context: dental hygiene after

lunch and parents buying electric toothbrush for their kids).

Summary: Employed data-driven DOOH placement, targeting

areas near restaurants at lunchtime (12-14h) and back-to-school

stores after work (16-18h) for maximum reach to the specific

age group. We utilized extensive data to pinpoint optimal

locations and times for maximum impact.

Request for DOOH: Data-driven targeting.

Outcome: 700k+ viewers aged 35-54.

Goal: 250k viewers aged 35-54 during 19-21 hours (context: beer

after work or cold beverage in the evening).

Summary: The campaign initially targeted viewers aged 35-54

from 19-21h to promote a beer brand. Initial results were good

but data analysis revealed the potential benefits of starting at

17h. Upon convincing the client to adjust the timing (17-19h), the

campaign saw a 510% daily increase in target views.

Request for DOOH: Data-driven insights and adaptable strategies for successful brand promotion.

Outcome: 330k+ viewers aged 35-54.