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DSP Successful Use Case

Born to raise brand awareness: MI-DSP™ supports Family Mart in driving traffic during Double 11

As a service for the brand, MI-DSP™ reaches out to the precise audience, significantly increasing consumer awareness of FamilyMart’s subsidiary brand – FamilyMart +1.

MI DSP™,助攻全家迎接雙十一黃金流量

AI Advertising programmatic 

According to the global real-time bidding (RTB) market size report, the market is projected to grow from $10.85 billion in 2022 to $14.07 billion in 2023, at a compound annual growth rate (CAGR) of 29.7%. As a service for the brand, MI-DSP™ reaches out to the precise audience, significantly increasing consumer awareness of FamilyMart’s subsidiary brand – FamilyMart +1.

Read more: AI Advertising – What could Programmatic Advertising do for you?

Familymart
Family Mart
  • Campaign Objective: Drive traffic and raise brand awareness
  • Buying Method: CPC
  • Creative Type: Banner

Main Challenge

Although the market penetration rate of the FamilyMart APP ranks first among trade APPs, the advertiser still wants to increase brand awareness and social volume. Therefore, FamilyMart launched FamilyMart +1, the e-commerce business unit, to increase the retention rate of existing members and provide them with an all-in-one purchasing channel. With ML bidding improvements, MI-DSP™ delivers ad placements at optimal prices and drives traffic to the landing page during the Double 11 Festival.

AI programmatic campaign

MI-DSP™ can help advertisers with PMP ad placements, targeting renowned news sites and in-app placements during the 7-day campaign duration. Along with free shipping and points rewards, the campaign successfully attracts the target audience aged 35 to 54, who contribute to the highest CTR and 400 million impressions.

Campaign Performance

The bid price normally spikes during the Double 11 Festival due to the massive volume. By adopting MI-DSP™, the CPC is only 70% of the market price, and the CTR grows significantly, saving the advertiser’s marketing budget.



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Groundhog MI | Mobility Intelligence
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