When Smart Bidding Isn't So Smart: Manual Tweaks That Actually Move the Needle
- jax5027
- Sep 4
- 5 min read
Google's smart bidding promises sound brilliant in theory: "Let our machine learning handle everything whilst you sip coffee and watch conversions roll in." Yet here you are, three months later, watching your ROAS tank whilst Google's algorithms apparently think your customers love clicking on ads that convert about as well as a chocolate teapot.
If smart bidding was genuinely smart, you wouldn't be reading this. The truth is, Google's automation works brilliantly, for Google's revenue. For your ecommerce business? Well, that's where manual intervention becomes less of a luxury and more of a necessity for survival.
The Uncomfortable Truth About Smart Bidding
Smart bidding strategies work when they have enough data to actually be smart. New campaigns, seasonal products, or any account without substantial conversion history might as well be asking a toddler to manage your marketing budget. Google's algorithms need historical performance patterns, and without them, they're essentially throwing darts blindfolded.

The fundamental issue lies in Google's reliance on machine learning models trained on your specific account data. If your account launched last month, or if you're testing new product lines, smart bidding strategies are making educated guesses at best, and expensive mistakes at worst.
This becomes particularly painful for ecommerce businesses during product launches or seasonal peaks. Your new winter collection might be brilliant, but Google's algorithm doesn't know that because last year's data shows completely different buying patterns.
The Bid Limits Death Trap
Before diving into what actually works, let's address the most destructive "manual intervention" that destroys smart bidding performance: bid limits. Setting maximum CPC caps on smart bidding campaigns is like buying a Ferrari and then limiting it to 30mph, you've completely defeated the purpose.
When you set bid limits, you're essentially telling Google's algorithm: "I'd rather miss valuable conversions than pay what they're actually worth." This approach fundamentally misaligns campaign optimisation with business outcomes, whether you're aiming for maximum conversions, target CPA, or specific ROAS goals.
The bitter irony? Most advertisers implement bid limits because they're worried about costs spiralling, but they end up spending the same budget on less valuable traffic instead.
Manual Interventions That Actually Move the Needle
Start with Manual CPC for New Initiatives
The most effective manual intervention isn't tweaking smart bidding, it's avoiding it entirely for new campaigns. Enhanced CPC or manual bidding gives you control whilst building the conversion history that smart bidding desperately needs.
This approach is particularly crucial for ecommerce businesses launching new products or entering new markets. Manual bidding allows you to understand which keywords drive valuable traffic before handing optimisation duties to Google's algorithms.
Yes, you'll lose access to contextual signals and real-time optimisation, but you'll gain something more valuable: the ability to build a solid foundation of performance data without betting your entire budget on Google's assumptions.

Strategic Seasonal Adjustments (When They Actually Work)
Seasonal bid adjustments represent one of the few manual interventions that can influence smart bidding performance, though they come with significant limitations. They work best for focused, short-term interventions during predictable seasonal peaks: think Black Friday or Valentine's Day for relevant product categories.
However, seasonal adjustments have a critical flaw: the system partially "forgets" this data after you stop using them. Many ecommerce advertisers become overly dependent on seasonal adjustments, using them as a constant crutch rather than addressing underlying campaign structure issues.
The key is using seasonal adjustments sparingly and strategically, not as a permanent Band-Aid for poor performance.
Smart Bidding Exploration: The Hybrid Approach
For campaigns using Target ROAS strategies, Smart Bidding Exploration offers a middle ground between full automation and manual control. This feature allows you to set ROAS flexibility between 10-30%, enabling the algorithm to explore traffic that might deliver slightly lower returns in exchange for increased volume.
The flexibility calculation works multiplicatively rather than additively: a 10% flexibility on a 500% target ROAS allows exploration down to 450% ROAS, not 490%. This approach can increase overall ROAS performance whilst maintaining algorithmic optimisation benefits.
For ecommerce businesses with mature accounts and consistent conversion data, this represents one of the most effective manual interventions available.
Data Exclusions: Emergency Surgery, Not Daily Medicine
Data exclusions offer another manual tool, but they function more like emergency surgery than routine maintenance. They're most effective when tracking breaks or when campaigns experience dramatic performance swings due to external factors.

Like seasonal adjustments, data exclusions treat symptoms rather than causes. They're useful for handling website outages, tracking issues, or major external events that skew performance data, but they shouldn't become a regular part of your optimisation strategy.
The Real Manual Intervention That Matters
Here's the uncomfortable truth: the most impactful manual intervention isn't about bid adjustments at all: it's about conversion tracking optimisation. Smart bidding strategies depend entirely on accurate conversion data, and most ecommerce businesses get this fundamentally wrong.
Rather than fighting against smart bidding algorithms, successful manual interventions focus on providing those algorithms with better data and clearer optimisation targets. This includes:
Implementing comprehensive conversion tracking that captures actual business value
Setting up proper attribution models that reflect customer journey complexity
Ensuring conversion definitions align with actual business outcomes, not just completed transactions
Optimising for customer lifetime value rather than just first-purchase metrics
Advanced Manual Strategy: Value-Based Bidding Setup
For sophisticated ecommerce operations, the most powerful manual intervention involves implementing value-based bidding with carefully structured conversion actions. This means moving beyond simple purchase tracking to capture different conversion values based on product margins, customer segments, and lifetime value predictions.

This approach requires significant manual setup and ongoing management, but it provides smart bidding algorithms with the detailed value signals they need to optimise for actual business profitability rather than just conversion volume.
When to Override Google's "Recommendations"
Google's interface constantly suggests "optimisations" that often benefit Google more than your business. Learning when to ignore these recommendations is a crucial manual skill:
Ignore suggestions to remove exact match keywords that are performing well
Be sceptical of recommendations to expand audience targeting without performance justification
Question suggestions to increase budgets without clear performance improvement paths
Resist pressure to adopt every new automated feature immediately
The Strategic Reality Check
The key insight is that effective manual interventions in the smart bidding era focus on data quality and strategic campaign structure rather than constant bid micromanagement. When smart bidding isn't performing, the solution typically lies in improving the foundation it operates on rather than trying to outsmart Google's machine learning capabilities.

Smart bidding isn't inherently broken: it's just not universally applicable. For mature ecommerce accounts with robust conversion data and clear business objectives, smart bidding can deliver exceptional results. For everything else, strategic manual intervention remains not just useful, but essential.
The businesses winning with Google Ads in 2025 aren't those that blindly trust automation or stubbornly resist it. They're the ones who understand when to let Google's algorithms do their job and when to step in with manual expertise that actually moves the needle.
Because at the end of the day, your business success shouldn't depend on hoping Google's algorithm eventually figures out what you already know about your customers.