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Macro vs Micro Optimizations

When to use broad, account-wide optimizations versus surgical, targeted adjustments.

Routine maintenance and reacting to a sudden problem are two very different jobs, and they call for very different approaches. The macro vs micro framework gives you the flexibility to match your optimization to the situation.

Before You Start

This article builds on a couple of core concepts. If you haven't already, check out:

Selecting the Correct Date Range for Campaign Optimizations

Getting the best results from the bid optimizer

Optimization Frequency

How often to optimize your campaigns

Macro Optimizations

Broad, account-wide optimizations for routine maintenance. These include bid changes, placement adjustments, and any other sweeping tuning across your catalog.

  • Lookback period: 30 to 45 days

  • Scope: Entire account

  • Best for: Regular maintenance, placement optimizations, seasonal adjustments

Since macro optimizations can touch 90%+ of your account spend in a single run, big swings introduce a lot of volatility. That’s why, when running the AdLabsl Bid Optimizer, we recommend keeping max increase/decrease in the 10% to 15% range so you’re not overcorrecting across thousands of keywords at once.

Placement optimizations should always be a “macro” optimization. They need enough data across all three placements in order to calculate reliably.

Micro Optimizations

These are surgical, targeted adjustments for reacting to a specific issue. Micro changes tend to be more drastic and reactionary because the point is to fix a problem quickly before it gets worse.

  • Lookback period: 3 to 7 days

  • Scope: A small handful of problem campaigns and keywords

  • Best for: Spend spikes, sudden ACOS increases, product launches

A longer lookback period won't catch recent problems fast enough. If ACOS spiked in the last 5 days, optimizing based on the last 30 days of performance will dilute the issue in older data and miss what's actually going wrong right now.

Don't optimize the whole account on a short lookback period. Focus on the high-spend, high-ACOS campaigns actually driving the problem. From there, drill deeper into which keywords are actually causing the problem.

Skip placement adjustments on micro optimizations since there won't be enough data confidence in the calculations.

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Keep micro changes unilateral. If you're reacting to high ACOS, focus on decreases. If you're ramping up visibility, focus on increases. Don't mix both in a reactive optimization.

Example: Reacting to a Spend Spike

You notice account ACOS is up 10% and spend is up 25% over the last 5 days. Here's how to run a micro optimization:

  1. Narrow the lookback period to the last 5 days.

  2. Find the highest-spending campaigns that are over target ACOS.

  3. Inside those, filter for high-spend, high-ACOS keywords (usually just 5 to 20 keywords).

  4. Turn off the max decrease cap and run the optimization on just those keywords.

  5. Leave the rest of the account alone.

This fixes the actual problem without disturbing keywords that are performing fine.

Some Exceptions

Ramping up for peak season: Bias macro optimizations toward growth by setting a higher max increase (e.g., 50%) than max decrease (e.g., 25%). Apply the same asymmetry to placement adjustments.

Product launches: Use micro changes with aggressive increases on low-visibility keywords. Consider removing max increase caps and using dynamic bid floors to make larger jumps from very low bids and build momentum faster.

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