Deepseek

Deepseek Case Study

$4.20

Cost Per Acquisition

45,000

Total Conversions

3.8%

Conversion Rate

14×

Return on Ad Spend

Company

Deepseek

Industry

Artificial Intelligence (AI)

Duration

90 days

Budget

$189,000

Objective

Blockchain-Ads connected DeepSeek with AI-interested audiences through targeted Interest-Based and Behavioral Targeting segments. The campaign prioritized tech-savvy early adopters and AI tool users seeking cost-effective alternatives.

Campaign Overview

DeepSeek, the cost-effective AI assistant, sought to establish market presence against established competitors like ChatGPT and Claude. With a total ad spend of $189,000 over 90 days, the campaign targeted AI enthusiasts and early adopters seeking affordable alternatives to premium AI tools.

Strategy

The campaign employed strategic audience targeting across behavioral and interest-based segments:

Audience Targeting: Targeted AI Tech Users and SaaS Subscribers actively using productivity tools, interested in AI Enthusiasts, Generative AI, and AI for Business segments seeking innovative AI solutions.
Ad Creative Strategy: Messaging emphasized cost-effectiveness and open-source accessibility to differentiate DeepSeek from premium AI competitors.
Retargeting Strategy: Sequential messaging moved users from awareness to app download through progressive education on AI capabilities.
Campaign Optimization: Real-time performance monitoring adjusted targeting parameters to maximize conversion rates across diverse user segments.

Results

Total Conversions: 45,000 new registered users across web and mobile platforms during campaign period
Total Reach: 8.2 million qualified impressions delivered to AI-interested and tech-savvy audience segments
Conversion Rate: 3.8% from impression to completed registration, exceeding industry benchmarks for app adoption
Return on Ad Spend: 14× return measured by user lifetime value projections and subscription conversion estimates

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Inactive-State

Active State

Execution

Precise Audience Targeting: AI Enthusiasts and Generative AI segments delivered highly qualified users already familiar with AI tools
Strategic Market Positioning: Messaging focused on cost-effectiveness resonated with budget-conscious users seeking ChatGPT alternatives during pricing concerns
Behavioral Targeting Advantage: AI Tech Users and SaaS Subscribers showed higher engagement rates and faster adoption
Interest-Based Reach: AI for Business targeting connected with enterprise users evaluating AI solutions for productivity
Platform Timing: Campaign launch aligned with growing market interest in open-source AI alternatives and cost-efficient solutions

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Insights & Learnings

DeepSeek's user acquisition campaign demonstrates the effectiveness of combining Behavioral Targeting and Interest-Based Targeting for AI products. The AI Enthusiasts, Generative AI, and AI Tech Users segments delivered highly qualified users with strong conversion intent. This targeting approach proved particularly effective for emerging AI platforms competing against established brands. The campaign's success validates the strategy of reaching tech-savvy early adopters through precise audience segmentation. DeepSeek can scale this approach across additional markets while maintaining efficient Cost Per Acquisition metrics.