After managing over $350M in Google Ads spend, I can tell you with confidence: the strategies that actually move the needle aren't always the ones Google's reps push in your quarterly business reviews. The r/PPC community consistently surfaces some of the sharpest tactical thinking in the industry — practitioners who are in the accounts every single day, testing what works and what burns budget. This post breaks down the underutilized and often-overlooked bidding strategies that experienced PPC managers are running right now, with the specifics you need to actually implement them.
Why Bidding Strategy Is the Highest-Leverage Decision in Your Account
Before we get into tactics, let's establish the frame. Your bidding strategy isn't just a setting — it's the engine that determines how Google allocates every dollar you spend. Get it right, and even a mediocre account structure can produce solid returns. Get it wrong, and flawless creative and targeting will still bleed you dry.
A common question in the r/PPC community is about strategies people have discovered "by accident" or through unconventional testing. What comes up again and again is that the most effective approaches usually involve working with Google's machine learning rather than against it — but doing so on your terms, with deliberate signal engineering and careful portfolio construction.
Key Insight: Google's Smart Bidding is only as good as the signals you feed it. Most accounts underperform not because Smart Bidding doesn't work, but because the conversion data is too sparse, too noisy, or too far removed from actual revenue to give the algorithm anything meaningful to optimize toward.
The Demand Gen + Conversion Bidding Hybrid Approach
One of the more creative strategies circulating among experienced practitioners involves using Demand Generation campaigns in a non-obvious way. As discussed in the r/PPC community, the core mechanic is: create a Demand Gen campaign using conversion-based bidding, then layer in an audience signal built from your top-converting keyword themes.
Here's why this works when done correctly:
- Demand Gen gives you access to YouTube, Discover, and Gmail placements with creative formats that traditional Search can't touch
- Feeding it conversion-based bidding (Target CPA or Maximize Conversions) means you're not just buying awareness — you're buying intent-qualified eyeballs
- The audience signal built from top-converting keyword context essentially tells Google: "find me people who behave like searchers who convert on these terms"
This is particularly powerful for accounts where pure Search has hit scale limits. You're not replacing Search — you're extending the reach of your highest-intent signals into new inventory.
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"
- Layer that Custom Segment with a Remarketing list of past converters (even a small one — 100+ users is enough)
- 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: Don't use broad keyword themes as your audience signal. Use the specific, long-tail terms that have actually produced conversions in your Search campaigns. Vague signals produce vague results. If your top converters are "enterprise HR software free trial" — use that, not "HR software."
Portfolio Bid Strategies: The Underused Architecture Fix
Most accounts run individual bid strategies at the campaign level. This is fine for large, well-funded campaigns — but it's a significant disadvantage for accounts where budget and conversion volume are distributed across many smaller campaigns.
Portfolio bid strategies allow you to pool conversion data across multiple campaigns, giving the algorithm a larger dataset to optimize against. In practice, I've seen this move accounts from 15-20 conversions per month per campaign (barely enough for Smart Bidding to function) to effectively "seeing" 80-100+ conversions because the portfolio aggregates signals.
When to Use Portfolio Bidding
| Scenario |
Individual Campaign Bidding |
Portfolio Bidding |
| Single campaign, 50+ conv/month |
✅ Ideal |
Unnecessary complexity |
| Multiple campaigns, 10-20 conv/month each |
⚠️ Suboptimal — algorithm starved |
✅ Pool signals, improve learning |
| Brand + Non-Brand split campaigns |
❌ Brand inflates non-brand CPA |
✅ Separate portfolios by intent tier |
| Multi-region same product |
⚠️ Redundant learning |
✅ Unified signal, regional budget control |
Common Mistake: Lumping Brand and Non-Brand campaigns into the same portfolio bid strategy. Brand terms convert at dramatically lower CPAs, which skews the portfolio's optimization targets and causes the algorithm to underbid on competitive non-brand terms. Always separate them into distinct portfolio strategies with appropriate CPA or ROAS targets.
Micro-Conversion Laddering for Data-Sparse Accounts
If your account is generating fewer than 30 conversions per month on your primary goal, Smart Bidding is essentially flying blind. The fix isn't to switch to manual CPC (though that's sometimes appropriate) — it's to create a conversion ladder that feeds the algorithm higher-frequency signals while keeping your true north metric in view.
Building Your Conversion Ladder
A conversion ladder works by identifying meaningful user actions that occur more frequently than your primary conversion, sequencing them in order of intent, and importing them into Google Ads with appropriate conversion values or category designations.
A typical B2B SaaS ladder might look like this:
- Blog page > 60 seconds engaged (highest volume, lowest intent) — set as "Other" conversion, do not include in bidding
- Pricing page visit — set as "Other," use for observation only
- Free trial signup page view (form load) — set as secondary conversion, include in bidding at reduced value
- Free trial signup completed — primary micro-conversion, include in bidding
- Trial account activation — secondary macro-conversion, assign value
- Paid conversion / demo booked — primary macro-conversion
By bidding toward free trial signups (which might happen 4-5x more frequently than demo bookings), you give the algorithm enough signal to operate in learning mode while still moving users down a funnel that ends at revenue.
Key Insight: The key to micro-conversion laddering is keeping your "include in conversions" setting honest. Use Google's conversion goals thoughtfully — only include conversions in bidding that genuinely predict downstream revenue. If your "pricing page visit" converts to paid at 0.5%, including it in Smart Bidding will produce a very efficient pricing-page-visit machine that never closes deals.
Assigning Values to Micro-Conversions
For Target ROAS bidding, you need conversion values. Here's a simple methodology:
- Start with your average deal value or LTV (e.g., $5,000)
- Multiply by the conversion rate at each ladder stage (e.g., trial signup-to-paid = 12%, so trial signup value = $600)
- Use these relative values across your conversion ladder so ROAS bidding optimizes toward the actions most predictive of revenue
Target Impression Share as a Defensive Competitive Strategy
This one's often dismissed as "not a real performance strategy" — and in most contexts, that's correct. Target Impression Share (TIS) optimizes for visibility, not efficiency. But there are specific use cases where it's genuinely the right tool.
Where TIS Actually Belongs in Your Account
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 trying to win that position through Target CPA bidding. Brand clicks are cheap; the algorithm doesn't need to be clever about winning them — it just needs to win.
High-Value Competitive Terms: For a small set of 5-10 keywords where being in position 1 has been proven (through position data in your account) to drive conversion rate meaningfully higher, TIS lets you anchor position without constantly adjusting manual bids.
Common Mistake: Using Target Impression Share across entire non-brand campaigns because you "want to be number one." This is budget destruction. TIS ignores cost efficiency entirely — it will spend whatever is needed to hit your impression share target. Reserve it strictly for brand defense and a short list of proven high-value terms where position directly impacts conversion rate.
Seasonality Adjustments: The Smart Bidding Override Most Accounts Ignore
Google's Smart Bidding uses historical conversion rate patterns to adjust bids. That works well in stable conditions — but it breaks down during predictable, short-term conversion rate spikes or drops that the algorithm can't anticipate from history alone.
Seasonality Adjustments are a manual override that lets you tell the algorithm: "For this date range, expect conversion rates to be X% higher or lower than normal." This is available in the Tools section under Bid Strategies.
When to Apply Seasonality Adjustments
- Promotions and sales events: If you're running a 48-hour flash sale, apply a +20% to +50% conversion rate adjustment for that window so the algorithm bids more aggressively
- Post-event normalization: After a major sale ends, apply a negative adjustment for 1-2 days to prevent the algorithm from over-bidding on pent-up historical conversion data
- Industry conferences or seasonal demand spikes: If you know a major industry event drives a predictable 30% lift in conversion intent, pre-load an adjustment
- Website outages or tracking interruptions: If you had a 6-hour tracking gap, apply a negative adjustment for that period so the algorithm doesn't think conversion rates dropped
Best Practice: Only apply Seasonality Adjustments for short, predictable events — ideally 1-7 days. For longer-term shifts in conversion rate (a new landing page, a pricing change, a new competitor), let the algorithm relearn naturally rather than forcing an override. Misapplied adjustments can send Smart Bidding into a chaotic optimization loop that takes weeks to stabilize.
Campaign Budget Optimizer vs. Manual Budget Allocation
As practitioners often discuss, there's an ongoing tension between letting Google's budget allocation tools do their thing versus maintaining manual control. The answer, as with most things in PPC, is contextual.
Shared budgets across campaigns can be a useful tool when you have campaigns competing for similar audiences but with variable daily demand — letting Google shift spend toward whichever campaign is seeing better opportunity on a given day. But this comes with real risks:
- Shared budgets can starve your highest-priority campaigns if a lower-priority one gets an unexpected traffic surge
- They make budget accountability difficult — you lose clear visibility into which campaign is spending what
- They can mask performance problems in individual campaigns by blending results
My general rule: use shared budgets only for campaigns that are genuinely interchangeable in terms of business priority. Brand campaigns, lead gen campaigns, and e-commerce campaigns should almost never share a budget pool.
What to Do Next: Your Action Plan
If you've read this far, you're serious about improving bidding strategy in your accounts. Here's a concrete sequence to work through:
- Audit your conversion data quality first. Before touching any bid strategy, pull your conversion report and verify that every action tagged is genuinely predictive of revenue. Remove vanity conversions from your "include in conversions" settings. This single step fixes more underperformance than any bidding tactic.
- Check your conversion volume by campaign. Any campaign generating fewer than 30 conversions per month on its primary goal is a candidate for either micro-conversion laddering or consolidation into a portfolio bid strategy.
- Separate Brand from Non-Brand into distinct bid strategy portfolios if you haven't already. Set appropriate, separate CPA or ROAS targets for each based on actual historical data — not aspirational numbers.
- Build one Demand Gen campaign using your top-converting keyword audience signals and conversion-based bidding. Start with a modest budget (10-15% of your Search spend) and run it for 30 days before drawing conclusions.
- Set up Seasonality Adjustments ahead of your next major promotion or predictable demand event. Document the adjustment, the rationale, and the outcome so you build an internal playbook for future use.
The through-line across all of these strategies is the same: give Google's algorithm better signals, control the conditions under which it operates, and don't abdicate strategic thinking just because automation is available. Smart Bidding is a powerful tool — but it works for you, not instead of you.
