Who should use the Bid Optimization workflow?
Teams or solo builders working on marketing tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Marketing
Practical execution plan for bid optimization with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A data-driven feedback loop that keeps bid performance aligned with goals over time.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A data-driven feedback loop that keeps bid performance aligned with goals over time.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Optmyzr to clear understanding of current bid performance and a prioritized list of segments to adjust. Then, you pass the output to Notion AI 3.0 to a documented optimization strategy with measurable targets and guardrails. Then, you pass the output to Google Ads Target ROAS to automated bid rules active on key campaigns, reducing manual effort and reacting to real-time signals. Then, you pass the output to Optmyzr to granular bid adjustments that capture incremental conversions from high-value segments while reducing waste. Then, you pass the output to Unbounce to higher ad relevance and conversion rates, enabling lower cpa and more aggressive bid strategies. Finally, Adverity is used to a data-driven feedback loop that keeps bid performance aligned with goals over time.
Audit Current Campaign Performance & Bid Structure
Clear understanding of current bid performance and a prioritized list of segments to adjust.
Define Optimization Goals & Constraints
A documented optimization strategy with measurable targets and guardrails.
Implement Automated Bid Strategies (Platform-Level)
Automated bid rules active on key campaigns, reducing manual effort and reacting to real-time signals.
Adjust Bids by Segment (Manual & Rule-Based)
Granular bid adjustments that capture incremental conversions from high-value segments while reducing waste.
Optimize Ad Creative & Landing Pages (Supporting Bids)
Higher ad relevance and conversion rates, enabling lower CPA and more aggressive bid strategies.
Monitor, Analyze & Iterate
A data-driven feedback loop that keeps bid performance aligned with goals over time.
Pull historical performance data (impressions, clicks, conversions, CPA, ROAS) from your ad platform (Google Ads, Meta, etc.). Segment by campaign, ad group, keyword, and audience to identify underperforming segments and bid waste. Set a baseline for comparison after optimization.
Why Optmyzr: Optmyzr provides automated bidding management and cross-platform budget pacing, which directly supports auditing campaign performance and bid structure across ad platforms.
Based on the audit, set specific bid optimization goals (e.g., reduce CPA by 15%, increase ROAS by 20%) and constraints (budget caps, target impression share, max bid limits). Align goals with business objectives (profitability, volume, or brand awareness). Document these as rules for the next steps.
Why Notion AI 3.0: Notion AI 3.0 can build custom AI agents for workflow automation and search across apps, ideal for defining optimization goals and constraints in a collaborative documentation tool.
Configure automated bid strategies in your ad platform based on your goals: Target CPA, Target ROAS, Maximize Conversions, or Enhanced CPC. Set conversion tracking correctly and apply strategies to appropriate campaigns/ad groups. Test one strategy per campaign to isolate impact.
Why Google Ads Target ROAS: Google Ads Target ROAS is a native automated bidding strategy within Google Ads, directly implementing platform-level bid optimization.
For segments where automated strategies are insufficient (e.g., niche keywords, custom audiences), manually adjust bids or set up rule-based adjustments (e.g., device, location, time-of-day). Use bid modifiers to increase/decrease bids by percentage for high/low-performing segments.
Why Optmyzr: Optmyzr offers automated bidding management and negative keyword discovery, supporting manual and rule-based bid adjustments by segment.
Bid optimization works best with strong creative and landing pages. Refresh ad copy, images, and CTAs to improve Quality Score (Google) or Relevance Score (Meta). Test landing page load speed and conversion flow. Higher relevance lowers cost per conversion, allowing more aggressive bids.
Why Unbounce: Unbounce specializes in landing page creation and A/B testing, directly supporting creative and landing page optimization to improve conversion rates and bid performance.
After 1-2 weeks of running optimized bids, review performance against baseline KPIs. Identify which segments improved and which need further adjustment. Tweak bid modifiers, strategy targets, or creative based on data. Repeat the cycle monthly for continuous improvement.
Why Adverity: Adverity aggregates multi-channel data and automates marketing reporting, ideal for monitoring and analyzing campaign performance across platforms.
§ Before you start
Teams or solo builders working on marketing tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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