Who should use the Optimize ad spend Workflow Blueprint workflow?
Teams or solo builders working on marketing tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Marketing
Real task-to-tool workflow for "Optimize ad spend" built from live mapping data.
Deliverable outcome
Continuous improvement loop that keeps ad spend optimized as market conditions change.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Continuous improvement loop that keeps ad spend optimized as market conditions change.
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 Make to a clear, quantified picture of current ad spend efficiency and waste. Then, you pass the output to Notion AI 3.0 to a documented optimization playbook with clear targets and automated decision criteria. Then, you pass the output to Make to immediate reduction in wasted spend, typically 15-30% of budget redirected. Then, you pass the output to Ad-Lib.io (A Smartly.io Company) to budget reallocated to highest-roi channels, with a measurable lift in overall roas (often 1.5-3x improvement). Then, you pass the output to Optmyzr to a self-optimizing ad spend system that runs 24/7, reducing manual work by 80%. Finally, Sigma Computing is used to continuous improvement loop that keeps ad spend optimized as market conditions change.
Audit Current Ad Performance & Spend Data
A clear, quantified picture of current ad spend efficiency and waste.
Set Optimization Goals & Budget Allocation Rules
A documented optimization playbook with clear targets and automated decision criteria.
Pause or Reduce Underperforming Ad Elements
Immediate reduction in wasted spend, typically 15-30% of budget redirected.
Shift Budget to High-ROI Campaigns & Audiences
Budget reallocated to highest-ROI channels, with a measurable lift in overall ROAS (often 1.5-3x improvement).
Implement Automated Bid & Budget Rules
A self-optimizing ad spend system that runs 24/7, reducing manual work by 80%.
Monitor, Analyze, and Iterate Weekly
Continuous improvement loop that keeps ad spend optimized as market conditions change.
Pull all ad platform data (Google Ads, Meta, etc.) into a single dashboard or spreadsheet. Identify which campaigns, ad sets, and keywords are overspending relative to ROI, and which are underfunded but high-performing. This baseline audit ensures every subsequent decision is data-driven.
Why Make: Make can orchestrate data extraction from ad platforms, synchronize with spreadsheets, and automate initial reporting, covering the core needs of auditing performance data.
Define specific, measurable targets for ROAS, CPA, and total spend per channel based on business objectives (e.g., 4x ROAS, max $50 CPA). Establish rules for reallocating budget: shift 20% from underperforming campaigns to top performers, and cap daily spend on low-ROI keywords. This step turns raw data into actionable guardrails.
Why Notion AI 3.0: Notion AI 3.0 provides a documentation tool for setting goals and rules, with AI agents to help structure and automate the planning process.
Using the audit data and rules, pause ads, ad sets, or keywords that consistently fail to meet minimum ROAS or CPA thresholds. Reduce bids on low-converting placements or audiences. This step immediately stops cash bleed and frees budget for higher-ROI opportunities.
Why Make: Make can automate the process of pulling underperformance data from ad dashboards and triggering bulk edits or notifications to pause elements.
Increase daily budgets and bids on campaigns, ad sets, and audiences that exceed your ROAS target. Focus on top-performing creative variants, remarketing lists, and lookalike audiences. Use the freed budget from the previous step to scale these winners gradually (e.g., +20% per day) to avoid bid inflation.
Why Ad-Lib.io (A Smartly.io Company): Ad-Lib.io specializes in dynamic creative optimization and cross-channel ad scaling, directly supporting budget shifts to high-ROI campaigns and audiences.
Set up automated rules in your ad platforms (or via third-party tools) to enforce the optimization rules defined earlier. For example, create a rule that auto-pauses any ad set with CPA > $60 for 3 days, or auto-increases budget by 10% if ROAS > 5x for 5 days. This ensures continuous optimization without manual intervention.
Why Optmyzr: Optmyzr is a dedicated third-party tool for automated bidding management and budget pacing, directly matching the step's needs.
Review performance dashboards weekly to catch any drift in KPIs or new underperformers. Compare actual spend against the reallocation plan, and adjust rules or targets as needed. Document learnings (e.g., 'Monday morning ads have higher CPA') to inform future campaigns.
Why Sigma Computing: Sigma Computing enables building interactive dashboards and analyzing large datasets directly in the cloud, ideal for weekly monitoring and iteration.
§ 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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