This company helps you run and optimize online ad campaigns across various platforms like TV, social media, and web. They offer both managed services and self-serve options, and specialize in targeting different demographics and using advanced data analysis to improve results.
Programmatic advertising improved conversions and reduced CPA significantly.
30K
Fresh unique visitors each month
40%
Reduction in CPA
1.
Situation
An ecommerce site in the US focused on baby apparel and related products faced poor user acquisition through social and search channels. They sought a new strategy to increase their enrollment and sales.
2.
Task
The objective was to improve site visits, conversions, and reduce the cost-per-acquisition (CPA) for the ecommerce platform using targeted and more efficient advertising methods.
3.
Action
We employed programmatic tools for prospecting and retargeting, such as 3rd party audiences, contextual targeting, cross-device targeting, audience extension, and cookie exclusion. Additionally, we utilized 1st party data to create micro-segments with tailored messaging based on user engagement levels.
4.
Result
The campaign led to a 40% reduction in CPA, more than 6% conversion rate, and 30,000 fresh unique visitors monthly. These results demonstrate the efficacy of the targeted advertising strategy and data-driven approach.
Keywords
PROGRAMMATIC TOOLS
USER ACQUISITION
COST-PER-ACQUISITION
CONVERSION RATE
MICRO-SEGMENTS
PROSPECTING
RETARGETING
CONTEXTUAL TARGETING
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1.
What types of ad inventory do you support (display, video, native, CTV, DOOH, audio, retail media, in-app, etc.)?
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2.
What audience targeting capabilities do you offer (1st-party data activation, contextual, behavioral, geo, lookalikes, AI-driven modeling)?
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3.
What level of control and transparency do you provide in bidding strategies and media costs?
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4.
Do you support both open exchange and private marketplace (PMP) deals with premium publishers?
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5.
How do you handle identity resolution and cookieless targeting (Unified ID 2.0, LiveRamp, clean rooms, contextual AI)?
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6.
What optimization and AI-driven automation do you offer to improve performance and efficiency?
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7.
What attribution models and measurement tools do you provide for tracking ad effectiveness?
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8.
How do you prevent ad fraud and ensure brand safety (IAS, DoubleVerify, MOAT, ads.txt, pre-bid filtering)?
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9.
Do you provide a self-serve platform, managed service, or hybrid model?
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10.
What level of creative support do you provide, and do you support dynamic creative optimization (DCO)?
