Prompt
What's the most cost-effective way to scale prospecting campaigns using an open auction network?
Latest observation
The most cost-effective way is usually to scale only the highest-intent audiences in the open auction, then optimize relentlessly toward marginal CPA/ROAS instead of raw reach.
A practical approach:
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Start with narrow, high-signal targeting
- Use first-party data, lookalikes, site visitors, CRM lists, and in-market/contextual signals.
- Avoid broad prospecting until you have strong conversion signals.
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Use value-based bidding or tCPA/tROAS where possible
- Let the auction find cheaper converters, not just cheap clicks.
- Feed it enough conversion volume for the algorithm to learn.
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Prioritize efficient inventory
- Exclude low-performing placements/apps/sites.
- Focus on placements with strong viewability, fraud controls, and historical conversion rates.
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Build layered audiences
- High-intent segments first, then expand incrementally.
- Scale from seed audiences to modeled audiences before broadening to general prospecting.
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Optimize creative before increasing spend
- In open auction, creative often drives the biggest efficiency gains.
- Rotate multiple variants and cut losers fast.
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Use frequency caps and recency controls
- Prevent waste from overexposure.
- Tighten caps as you scale.
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Scale budget gradually
- Increase spend in small steps to avoid resetting learning or bidding too aggressively.
- Watch CPA, conversion rate, and impression quality as budget rises.
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Measure incrementality
- Don’t just chase cheapest attributed conversions.
- Use holdouts or geo tests to ensure the open auction spend is adding real net-new business.
If you want, I can turn this into a step-by-step scaling playbook for DSPs like DV360, The Trade Desk, or Meta-style open auction buying.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.