The highest-leverage underutilized Google Ads bidding strategies right now are: pooling sparse campaigns into portfolio bid strategies, building micro-conversion ladders to feed Smart Bidding enough signal, using Demand Gen campaigns with conversion-based bidding anchored to custom audience segments built from your top-converting search terms, and applying Seasonality Adjustments before predictable demand spikes. Each works by giving Google's algorithm better data to optimize against.
Key takeaways
Smart Bidding is only as good as the conversion signals you feed it — auditing what's included in bidding is the single highest-leverage fix in most accounts.
Portfolio bid strategies pool conversion data across campaigns, enabling Smart Bidding to function properly in accounts where individual campaigns generate fewer than 30 conversions per month.
Micro-conversion laddering gives data-sparse accounts a higher-frequency signal to bid toward while keeping true revenue outcomes in view.
Demand Gen campaigns with conversion-based bidding and custom audience segments built from top-converting keywords extend your highest-intent Search signals into new inventory.
Seasonality Adjustments are a manual Smart Bidding override most accounts ignore — applying them before promotions or predictable demand shifts prevents costly over- or under-bidding.
Key terms
Portfolio Bid Strategy
A Google Ads setting that pools conversion data from multiple campaigns so Smart Bidding has a larger dataset to optimize against, useful when individual campaigns lack enough conversions on their own.
Micro-Conversion Laddering
The practice of identifying higher-frequency funnel actions — like form loads or trial signups — and using them as bidding signals when the primary conversion goal happens too rarely for Smart Bidding to learn from.
Seasonality Adjustment
A manual Smart Bidding override that tells the algorithm to expect conversion rates to be a specified percentage higher or lower than normal for a defined short date range.
Custom Segment
A Google Ads audience built from users who have searched for specific terms on Google, used to bring search-intent signals into non-Search campaign types like Demand Gen.
Smart Bidding
Google's suite of automated bid strategies — including Maximize Conversions and Maximize Conversion Value — that use machine learning to adjust bids at each auction based on real-time signals.
Why does bidding strategy have such an outsized impact on Google Ads performance?
Bidding strategy determines how Google allocates every dollar you spend, which means it's the leverage point above creative, targeting, or account structure. A common theme in the r/PPC community discussion on underutilized strategies is that the most effective approaches share one principle: work with Google's machine learning on your terms rather than surrendering control entirely or fighting automation outright.
Google's Smart Bidding adjusts bids at auction time using signals like device, location, time of day, search query, and audience membership. [1] The problem in most accounts isn't that Smart Bidding doesn't work — it's that the conversion data feeding it is too sparse, too noisy, or too disconnected from actual revenue for the algorithm to optimize meaningfully. [2] Fixing that data quality problem unlocks more performance than any tactical bid adjustment.
Key Insight: In accounts I manage, the single change that most reliably unlocks bidding performance is removing vanity conversions from the "include in conversions" setting — not switching bid strategies. The algorithm is only misdirected when it's pointed at the wrong target.
How do portfolio bid strategies fix performance in low-conversion-volume accounts?
Portfolio bid strategies pool conversion data across multiple campaigns so the algorithm has a larger dataset to optimize against — solving the most common reason Smart Bidding underperforms. [3] When individual campaigns generate 10–20 conversions per month each, Smart Bidding is effectively starved. Aggregating four such campaigns into a portfolio can give the algorithm an effective view of 60–80+ monthly conversions, enough to exit or stay out of the learning phase.
Scenario
Individual Campaign Bidding
Portfolio Bidding
Single campaign, 50+ conversions/month
✅ Ideal
Unnecessary complexity
Multiple campaigns, 10–20 conversions/month each
⚠️ Algorithm starved
✅ Pool signals, improve learning
Brand + Non-Brand split
❌ Brand inflates blended CPA
✅ Separate portfolios by intent tier
Multi-region, same product
⚠️ Redundant learning
✅ Unified signal, regional budget control
Common Mistake: Combining Brand and Non-Brand campaigns in the same portfolio bid strategy. Brand terms convert at dramatically lower CPAs, which skews the portfolio's optimization target and causes the algorithm to underbid on competitive non-brand terms. Always run them in separate portfolios with distinct CPA or ROAS targets grounded in historical data — not aspirational numbers.
What is micro-conversion laddering and when should you use it?
Micro-conversion laddering is the practice of identifying meaningful user actions that occur more frequently than your primary conversion goal, sequencing them by intent, and using them to give Smart Bidding a higher-frequency signal while keeping revenue outcomes in view. [2] Use it whenever a campaign generates fewer than 30 conversions per month on its primary goal — at that volume, Smart Bidding has too little data to bid effectively.
How to build a conversion ladder
Map your funnel stages and assign each a conversion goal category and a relative value. A typical B2B SaaS ladder:
Blog engagement > 60 seconds — Category: "Other"; do not include in bidding
Pricing page visit — Category: "Other"; observe only
Free trial form load — Include in bidding at reduced value; secondary micro-conversion
Free trial signup completed — Include in bidding; primary micro-conversion
Trial account activation — Include in bidding; secondary macro-conversion
Demo booked or paid conversion — Primary macro-conversion; highest assigned value
Assigning values for Target ROAS bidding
To use Maximize Conversion Value with a Target ROAS, every conversion needs a value. [4] A simple methodology:
Start with your average deal value or customer lifetime value (e.g., $5,000)
Multiply by the conversion rate at each funnel stage (e.g., trial-to-paid = 12%, so trial signup value = $600)
Apply these relative values consistently across the ladder so the algorithm optimizes toward actions most predictive of revenue
Common Mistake: Including a funnel step in bidding just because it's measurable. If your "pricing page visit" converts to paid at 0.5%, including it in Smart Bidding produces a very efficient pricing-page-visit machine that never closes deals. Only include conversions that genuinely predict downstream revenue.
How do you use Demand Gen campaigns with conversion bidding to extend Search performance?
Demand Gen campaigns with conversion-based bidding — anchored to a custom audience segment built from your top-converting search terms — let you extend the reach of your highest-intent Search signals into YouTube, Discover, and Gmail placements. [5] This is particularly effective when pure Search has hit scale limits, because you're not replacing Search; you're applying the same intent signals to new inventory.
Key Insight: Demand Gen replaced Discovery campaigns. If your account was running Discovery campaigns previously, those have been upgraded to Demand Gen automatically. The conversion-based bidding approach below applies to the current Demand Gen campaign type.
How to build the audience signal correctly
Pull your top 20–30 converting keywords from Search over the last 90 days
Create a Custom Segment in Google Ads targeting "people who searched for these terms on Google" [5]
Layer that segment with a Remarketing list of past converters (100+ users is sufficient)
Add this combined audience as your Demand Gen signal, set to Observation first
After 2–3 weeks of data, assess whether to shift to Targeting mode
Best Practice: Use specific, long-tail terms that have actually produced conversions in Search — not broad category themes. If your top converters are "enterprise HR software free trial," use that exact phrase in the custom segment, not "HR software." Vague signals produce vague results.
If you're thinking through how Demand Gen fits alongside Search in a broader channel mix, the discussion on what PPC strategies deliver the best results covers the trade-offs practitioners have tested.
When does Target Impression Share actually belong in a bidding strategy?
Target Impression Share (TIS) optimizes for visibility, not efficiency, which makes it the wrong tool in most contexts — but the right one in two specific situations: brand defense and a small set of proven high-value competitive terms where position demonstrably affects conversion rate. [3]
The two legitimate use cases
Brand defense: If competitors are bidding on your brand terms, running TIS at 90–95% Absolute Top of Page on your brand campaign is often more cost-effective than competing through Target CPA bidding. Brand clicks are cheap; the algorithm doesn't need to be clever — it just needs to win.
High-value competitive terms: For a small set of 5–10 keywords where position-1 placement has been proven in your own data to lift conversion rate meaningfully, TIS lets you anchor position without constant manual bid adjustments.
Common Mistake: Applying Target Impression Share across entire non-brand campaigns because you want to "be number one." TIS ignores cost efficiency entirely — it will spend whatever is required to hit your impression share target. Reserve it strictly for brand defense and a short, proven list of terms where position directly drives conversion rate.
How do Seasonality Adjustments work and when should you apply them?
Seasonality Adjustments are a manual override that lets you tell Smart Bidding to expect conversion rates to be a specified percentage higher or lower than normal for a defined date range. [1] They exist because Smart Bidding learns from historical patterns — which means it can't anticipate a 48-hour flash sale, a post-event normalization period, or a tracking gap it has never seen before.
The right situations to apply a Seasonality Adjustment
Promotions and flash sales: Apply +20% to +50% conversion rate adjustment for the promotion window so the algorithm bids more aggressively
Post-sale normalization: Apply a negative adjustment for 1–2 days after a major sale ends to prevent over-bidding on pent-up historical data
Predictable seasonal demand spikes: If a major industry event reliably drives a 30% lift in conversion intent, pre-load an adjustment
Tracking interruptions: If a site outage or tagging error created a data gap, apply a negative adjustment for that period so the algorithm doesn't interpret missing conversions as a real drop in performance
Best Practice: Apply Seasonality Adjustments only for short, predictable events — ideally 1–7 days. For longer-term shifts (a new landing page, a pricing change, a new competitor), let the algorithm relearn naturally. Misapplied or overly broad adjustments can push Smart Bidding into a chaotic optimization loop that takes weeks to stabilize.
What to do next
Audit your conversion data quality. Pull the conversion report and verify every tagged action genuinely predicts revenue. Remove anything that doesn't from your "include in conversions" setting. This single step fixes more underperformance than any tactical bid change. You can run a structured check with the 250-point Google Ads audit engine.
Check conversion volume by campaign. Any campaign generating fewer than 30 conversions per month on its primary goal is a candidate for micro-conversion laddering, consolidation, or a portfolio bid strategy.
Separate Brand from Non-Brand into distinct portfolio bid strategies. Set separate CPA or ROAS targets for each based on actual historical performance — not targets you aspire to hit.
Build one Demand Gen campaign using your top-converting keyword audience signal. Start with 10–15% of your Search budget, run it for 30 days, and evaluate before scaling or drawing conclusions.
Schedule your next Seasonality Adjustment now. If you have a promotion, seasonal event, or known demand spike in the next 90 days, set the adjustment in advance and document the rationale and outcome to build an internal playbook.
Frequently asked questions
How many conversions does a campaign need before Smart Bidding works reliably?
Google recommends at least 30–50 conversions per month at the campaign level for Smart Bidding to optimize effectively. [1] Below that threshold, the algorithm lacks enough signal and can behave erratically. If you can't reach that volume on your primary conversion goal, micro-conversion laddering or a portfolio bid strategy that pools data across campaigns are the practical fixes.
What's the difference between Maximize Conversions and Target CPA now?
Target CPA is no longer a standalone bid strategy — it's an optional target you set inside Maximize Conversions. [6] Without a target, Maximize Conversions spends your full budget to get as many conversions as possible regardless of cost. Adding a Target CPA constrains the algorithm to hit a cost-per-conversion goal. Start with Maximize Conversions to gather data, then layer in a CPA target once you have enough conversion history to set a realistic one.
Can you combine a portfolio bid strategy with Seasonality Adjustments?
Yes. Seasonality Adjustments can be applied at the portfolio bid strategy level, which means a single adjustment covers all campaigns within that portfolio simultaneously. This is particularly useful for accounts running multiple campaigns in a shared portfolio — one adjustment before a promotional event updates the expected conversion rate signal across all of them at once, rather than requiring campaign-by-campaign edits.
Is it worth testing Smart Bidding changes with a campaign experiment?
Yes, especially for significant bid strategy changes like switching from manual CPC to Maximize Conversions or changing a Target CPA. [7] Running a campaign experiment lets you split traffic between the current and new strategy, measure the actual performance difference, and apply the change only if results are statistically meaningful — rather than exposing your full budget to an untested configuration.
Should shared budgets be used instead of portfolio bid strategies?
They serve different purposes. A shared budget allocates daily spend across campaigns dynamically based on opportunity. [8] A portfolio bid strategy pools conversion signals so the bidding algorithm has more data. You can use both simultaneously, but shared budgets can mask individual campaign performance problems and starve high-priority campaigns when a lower-priority one sees a traffic surge. Use shared budgets only for campaigns that are genuinely interchangeable in business priority.
How do custom audience segments differ from remarketing lists as Demand Gen signals?
Custom segments built from search terms target people based on their recent search behavior on Google — capturing in-market intent signals even if those users have never visited your site. [5] Remarketing lists target people who have already interacted with your brand. As a Demand Gen audience signal, layering both gives the algorithm a richer profile: intent-qualified new audiences from the custom segment, and behavioral confirmation from past converters via remarketing.
AI Disclosure: This article was generated with AI assistance based on a community discussion on Reddit r/PPC. Expert analysis and practitioner perspective by John Williams, Founder, AHMEEGO · Google Ads Practitioner with $350M+ in managed Google Ads spend. AI was used to draft and structure the content; all strategic recommendations reflect real campaign experience.
