Challenge
Odeabank aimed to strengthen its positioning as a preferred investment bank within the premium / upper-income segment.
The campaign objectives were to:
- Increase consideration for the Odeabank Hediye Investment Fund
- Strengthen preference among premium investors
- Identify high-potential investment audiences using AI-driven survey intelligence
- Quantify the impact of ad exposure on investment intent through Brand Lift Study (BLS)
Investment is inherently a low-intent financial category, making measurable uplift particularly challenging
Strategy & Targeting
Black [C] and LoopMe implemented an AI-powered audience qualification model:
1. Pre-Campaign Audience Survey
Two qualifying questions were asked:
- Investment intent
- Preferred bank for investment
LoopMe AI processed responses and generated an Investment Potential Score for each user.
2. AI Custom Profiling
- Users with high probability of answering “Yes” received more impressions
- Users likely to answer “No” were filtered out
- Media delivery was optimized toward the highest investment potential audience
The campaign was therefore not broad awareness-driven — it was precision-optimized for financial intent
Audience Intelligence (Purchaseloop Model)
Using LoopMe’s Purchaseloop Audience Intelligence:
- Pre-campaign investment intent was measured
- Users were segmented based on AI-calculated potential
- The goal was not generic uplift, but accurate understanding of investment propensity
This resulted in:
- Concentrated delivery within the most relevant premium audience
- Clearer BLS outcomes
- Improved cost efficiency
AI optimization outperformed traditional optimization models by focusing on real-time behavioral signals
Brand Lift Study Results
BLS Question:
“Would you consider investing with Odeabank Hediye Fund Campaign?”
- Total respondents: 775
- Control Group: 4.6%
- Exposed Group: 5.3%
- Total Uplift: +14.5%
- 1,700 incremental users shifted toward investment consideration
In a low-intent financial category, a +14.5% uplift represents meaningful behavioral impact
Demographic Performance
Age
Highest investment intent observed in younger segments:
- 18–24: 25%
- 25–34: 22%
Younger, digitally active investors responded more positively to the campaign.
Gender
- Male: 26%
- Female: 19%
Male investors demonstrated stronger interest, consistent with broader fund participation trends in Turkey.
Marital Status
- Married: 22%
- Single: 22%
Marital status did not significantly impact investment intent
Key Learnings
- Premium targeting ensured delivery to financially relevant audiences
- AI-driven profiling improved efficiency and clarity of measurement
- Younger digital investors are highly responsive to investment messaging
- Brand Lift Study confirmed statistically meaningful intent growth
- The “High Investment Potential Audience” can be reused for future campaigns
Recommendations
- Implement A/B creative testing to further refine financial messaging
- Expand to multi-question Brand Lift models (Awareness, Ad Recall, Consideration, Brand Fit)
- Continue leveraging AI-based investment potential scoring in future financial campaigns
This campaign demonstrates how AI-driven audience qualification combined with Brand Lift measurement can generate statistically significant performance even in traditionally low-intent financial categories.
