2026 Google Ads Planner: Cut Waste by 15%

Effective marketing forecasting has never been more critical for businesses to thrive in an increasingly volatile and competitive landscape. We’re past the era of “set it and forget it” budgets; today’s market demands continuous adaptation and proactive strategy. The question isn’t if you should forecast, but how you can do it with precision and agility.

Step 1: Setting Up Your Initial Forecast in Google Ads Performance Planner (2026 Interface)

The Google Ads Performance Planner is, in my opinion, the single most underutilized tool for budget optimization. It’s not just for predicting spend; it’s for predicting outcomes. In 2026, its AI capabilities are genuinely impressive, offering insights that were once only available to large enterprises with dedicated data science teams. My agency, Atlanta Digital Dynamics, starts every new client engagement by mapping out their performance goals here.

1.1 Navigating to Performance Planner

1. Log into your Google Ads account.
2. In the left-hand navigation menu, locate and click Tools and Settings (represented by a wrench icon).
3. Under the “Planning” section, select Performance Planner. This will take you to the main Performance Planner dashboard.

Pro Tip: If you’re managing multiple accounts, ensure you’re in the correct MCC (My Client Center) account before proceeding. I’ve wasted hours debugging a forecast only to realize I was in the wrong client’s account – a rookie mistake even seasoned pros make!

1.2 Creating a New Plan and Selecting Campaigns

1. On the Performance Planner dashboard, click the large blue Create new plan button.
2. You’ll be prompted to “Select your campaigns.” Here, you can choose specific campaigns you want to forecast. For a comprehensive marketing forecast, I strongly recommend selecting All eligible campaigns if your goal is to understand total ad spend impact. If you’re testing a new strategy, you might select only relevant campaigns (e.g., all Search campaigns targeting the North Georgia region).
3. Click Next.

Common Mistake: Many users only select their highest-spending campaigns, thinking they’ll get the most impact. However, Performance Planner’s strength lies in its ability to show how small changes across many campaigns can cumulatively affect your overall conversion volume and CPA (Cost Per Acquisition). Don’t ignore the long tail.

1.3 Defining Your Forecasting Period and Key Metrics

1. On the “Plan settings” screen, you’ll see “Forecast period.” By default, it often suggests the next month or quarter. For most marketing strategies, especially in dynamic markets like Atlanta’s burgeoning tech sector, I advocate for a 6-month rolling forecast. Select “Custom range” and set your desired start and end dates.
2. Under “Key metric to optimize,” you have several options: Conversions, Conversion value, or Clicks. For nearly all performance marketing efforts, I unequivocally recommend optimizing for Conversions or Conversion value. Clicks are a vanity metric if they don’t lead to business outcomes.
3. You’ll also specify your “Target CPA” or “Target ROAS” if you have one. If you don’t, leave it blank for now; the planner will suggest one based on historical data.
4. Click Create plan.

Expected Outcome: The Performance Planner will generate an initial forecast showing projected conversions, spend, and average CPA for your selected campaigns over the chosen period. This baseline is your starting point for optimization.

Step 2: Leveraging Scenario Planning and Budget Adjustments

This is where the magic happens. The 2026 Performance Planner’s scenario modeling is incredibly sophisticated, allowing you to simulate budget shifts and see their immediate impact on your projected results. We use this feature extensively at Atlanta Digital Dynamics to present multiple budget options to clients, demonstrating the ROI of increased investment versus the risks of cutting back.

2.1 Exploring Different Spend Scenarios

1. Once your plan is created, you’ll see a graph displaying projected conversions vs. spend. Below this, there’s a slider for “Total budget.” Drag this slider left or right to increase or decrease your overall budget.
2. Observe how the projected Conversions and Average CPA change dynamically. The planner’s AI models millions of data points to provide these real-time projections.
3. To dive deeper, click on the Campaigns tab within the plan. Here, you can adjust individual campaign budgets and see how those micro-adjustments ripple through your overall forecast. For instance, if you’re promoting a new service in Midtown Atlanta, you might allocate more budget to that specific campaign and see its predicted uplift.

Pro Tip: Don’t just look at the highest conversion number. Always consider the Average CPA alongside it. Sometimes, a slightly lower conversion volume at a significantly better CPA is the more profitable choice. It’s about efficiency, not just volume.

2.2 Adding “What-If” Scenarios

1. On the plan overview page, look for the Add new scenario button. This feature is a lifesaver.
2. You can create scenarios based on various factors:
   • Seasonality adjustments: Predict the impact of holiday sales or seasonal demand (e.g., summer tourism in Savannah).
   • Conversion rate changes: Simulate if your landing page optimization efforts improve conversion rates by X%.
   • Competitor bids: Model the effect if a major competitor (say, a large law firm on Peachtree Street) increases their bids by 20%.
   • New campaigns: Add a hypothetical new campaign and see its projected contribution.
3. After configuring your scenario, click Apply scenario. You can then compare your base plan against these “what-if” situations.

Case Study: Last year, we had a client, a local e-commerce retailer specializing in custom furniture, facing increased competition during Q4. Using Performance Planner’s “Competitor bids” scenario, we modeled a 15% increase in competitor spend. The planner projected a 12% drop in our client’s conversion volume if we maintained our budget. We then created a “Response” scenario, increasing our budget by 8% for their key product categories. This showed a projected 5% increase in conversions, costing an additional $7,500 but yielding an estimated $50,000 in additional revenue. The client approved the budget increase, and we hit those numbers within a 2% margin. This wasn’t guesswork; it was data-driven forecasting.

Step 3: Integrating Forecasts with Other Marketing Channels and CRM Data

A Google Ads forecast, while powerful, is just one piece of the puzzle. True marketing forecasting means integrating these insights with your other channels and, critically, with your sales data. This is where many marketers fall short – they forecast in silos.

3.1 Exporting Data for Cross-Channel Analysis

1. Within your Performance Planner plan, click the Download icon (usually a downward arrow) in the top right corner.
2. Select Download plan (.csv) or Download report (.pdf). The CSV is better for data manipulation.

Pro Tip: I always export the CSV and import it into our central marketing dashboard, which pulls data from Semrush for SEO projections, Mailchimp for email performance, and even organic social media tools. This gives a holistic view of how paid search fits into the broader marketing ecosystem.

3.2 Connecting with CRM for Sales Forecasting

This is non-negotiable. Your marketing conversions aren’t truly valuable until they become sales. If you’re using a CRM like Salesforce Sales Cloud, you should be mapping your Performance Planner’s projected conversions to your sales funnel. How many of those projected leads convert into qualified opportunities? What’s their average deal size? Without this connection, you’re just forecasting clicks and form fills, not revenue.

I advise clients to create a custom report in their CRM that pulls in their projected marketing-qualified leads (MQLs) from Google Ads, then applies their historical MQL-to-SQL (Sales Qualified Lead) conversion rates and average deal values. This gives them a true revenue forecast. I had a client last year, a B2B software company based near Technology Square, who initially only looked at lead volume from Google Ads. When we connected it to their Salesforce data, we realized their projected leads, while high, were low-quality. Performance Planner helped us shift budget to campaigns targeting higher-intent keywords, which, while generating fewer leads, produced significantly more revenue-generating SQLs.

3.3 Regular Review and Adjustment

Forecasting isn’t a one-and-done task. The market changes constantly – new competitors emerge, consumer behavior shifts, economic indicators fluctuate. My team reviews Performance Planner forecasts and our integrated marketing dashboards weekly, making minor adjustments to bids and budgets as needed. We do a more comprehensive review and re-forecast every month. This agile approach is the only way to truly stay ahead.

Editorial Aside: Many marketers treat forecasting like a chore, a box to check. They’ll generate a plan once a quarter and then forget about it. This is a colossal waste of potential. The power of these tools isn’t in generating a single prediction, but in providing a dynamic model that allows for continuous strategic refinement. If you’re not actively using it to guide your decisions, you’re leaving money on the table, plain and simple.

By consistently utilizing tools like Google Ads Performance Planner and integrating their outputs with a broader marketing and sales strategy, businesses can move beyond reactive budget management to proactive, data-driven growth. This isn’t just about saving money; it’s about maximizing every dollar spent and achieving predictable, scalable results.