Who should use the Optimize advertising campaigns 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 optimize advertising campaigns with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A clear, shareable report with documented optimizations, performance gains, and a roadmap for continued improvement.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A clear, shareable report with documented optimizations, performance gains, and a roadmap for continued improvement.
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 Google Ads to a prioritized list of campaigns needing optimization, with baseline metrics for comparison. Then, you pass the output to Google Ads to refined audience lists with updated bid adjustments, targeting only high-potential segments. Then, you pass the output to StoryLab AI to updated creative library with a/b test results, and underperforming creatives paused or replaced. Then, you pass the output to Adzooma to optimized budget distribution and bidding strategy, reducing wasted spend and improving overall roas. Then, you pass the output to Salesforce Marketing Cloud to accurate conversion data and attribution model, enabling reliable optimization decisions. Then, you pass the output to Adzooma to a set of automated rules that continuously optimize campaigns with minimal manual intervention. Finally, Gemini for Google Workspace (formerly Duet AI) is used to a clear, shareable report with documented optimizations, performance gains, and a roadmap for continued improvement.
Audit current campaign performance
A prioritized list of campaigns needing optimization, with baseline metrics for comparison.
Refine audience targeting
Refined audience lists with updated bid adjustments, targeting only high-potential segments.
Optimize ad creatives and copy
Updated creative library with A/B test results, and underperforming creatives paused or replaced.
Adjust bidding and budget allocation
Optimized budget distribution and bidding strategy, reducing wasted spend and improving overall ROAS.
Implement conversion tracking and attribution
Accurate conversion data and attribution model, enabling reliable optimization decisions.
Automate routine optimizations
A set of automated rules that continuously optimize campaigns with minimal manual intervention.
Generate optimization report and next steps
A clear, shareable report with documented optimizations, performance gains, and a roadmap for continued improvement.
Pull performance data from all active ad platforms (e.g., Google Ads, Meta Ads) for the last 30-90 days. Identify key metrics: CTR, CPA, ROAS, conversion rate, and impression share. Segment by campaign, ad set, and creative to pinpoint underperformers and top performers.
Why Google Ads: Google Ads is the primary platform for auditing Google Ads campaign performance, providing direct access to campaign data, metrics, and reporting needed for the audit.
Analyze audience segments that drove the best conversion rates and lowest CPAs. Exclude underperforming audiences, add lookalike audiences based on top converters, and adjust demographics (age, gender, location) to narrow focus. For retargeting, set frequency caps and exclude recent converters.
Why Google Ads: Google Ads includes Audience Manager capabilities for refining audience targeting based on campaign data and user segments.
Review top-performing and worst-performing creatives. Replace underperforming images/videos with A/B test variants (e.g., new headlines, CTAs, color schemes). Ensure all creatives align with brand guidelines and include clear value propositions. For video ads, trim to <15 seconds if possible.
Why StoryLab AI: StoryLab AI generates social media captions, video scripts, and hooks, directly supporting ad creative and copy optimization.
Shift budget from low-ROAS campaigns to high-ROAS ones. Change bidding strategy from 'maximize clicks' to 'target CPA' or 'target ROAS' for campaigns with sufficient conversion data. Set daily budget caps to avoid overspend and use automated rules to pause campaigns exceeding CPA thresholds.
Why Adzooma: Adzooma offers automated bid management and anomaly detection, directly addressing bidding and budget allocation needs.
Verify that all conversion actions (purchases, sign-ups, leads) are correctly tracked via pixels or server-side events. Set up attribution windows (e.g., 7-day click, 1-day view) and use a data-driven attribution model if available. Cross-check with CRM data to ensure accuracy.
Why Salesforce Marketing Cloud: Salesforce Marketing Cloud offers campaign management and marketing automation, including conversion tracking and attribution capabilities.
Set up automated rules or scripts to handle repetitive tasks: pause ads with low CTR, increase bids for high-intent audiences, and schedule budget shifts. Use platform-native automation (e.g., Google Ads Smart Bidding, Meta Automated Rules) or third-party tools for cross-platform management.
Why Adzooma: Adzooma provides automated bid management and anomaly detection, directly enabling routine optimization automation.
Compile a summary of changes made, performance improvements (e.g., CPA reduction, ROAS increase), and remaining issues. Include a list of recommended next actions (e.g., test new audiences, scale winning creatives). Share with stakeholders and schedule a follow-up review in 2 weeks.
Why Gemini for Google Workspace (formerly Duet AI): Gemini for Google Workspace can generate automated tables and complex formulas, useful for creating reports in Google Sheets or Docs.
§ 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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