Recommended Investment Strategy 2026: Holistic vs Growth Mode in Google Ads
On 24 September 2026 the Recommended Investment Strategy tab on the Recommendations page gained two budget allocation modes — Holistic and Growth. The difference is not cosmetic: the first moves money between your existing campaigns, the second only adds new money on top. The same account, given the same amount, will get two different action lists and two different forecasts.
This guide covers what Recommended Investment Strategy actually calculates, over what horizon, how it differs from Performance Planner and the optimization score, and why “Apply all” should be the last button you press rather than the first. With a worked numeric example, a pre-flight checklist and a plan for verifying the result.
The tool answers “where should the next $1,000 go”, not “is this account structured correctly”. It optimises inside your existing structure over a seven-day window — which is exactly why its output is an input to a decision, not the decision itself.
What Recommended Investment Strategy is and where to find it
Recommended Investment Strategy is an account-level tool that evaluates your performance history and growth potential and returns a personalised budget allocation across campaigns. Path in the UI: Campaigns → Recommendations, then the Investment Strategy tab at the top of the page.
You provide three inputs:
- Optimisation goal — clicks, conversions or conversion value.
- Budget strategy mode — Holistic or Growth.
- Investment amount — either additional weekly spend, or the weekly increase you want in the chosen metric.
The output is an interactive performance graph showing the spend-to-result curve, plus a table of campaigns with concrete new budget figures. Every row has a checkbox: uncheck it and that campaign keeps its existing budget and bid strategy settings untouched.
Not every account sees the tab. Eligibility requires that budget constraints are limiting at least one performance campaign, or that there is meaningful opportunity for additional conversions at an acceptable CPA or ROAS. If Google sees neither, the tab is empty or absent.
Holistic vs Growth: the difference in money terms
Google’s descriptions sound similar. The financial consequences are not.
| Dimension | Holistic (Google’s recommended default) | Growth |
|---|---|---|
| Where money comes from | Existing budget of weaker campaigns, plus additional weekly spend | New budget only |
| What happens to weak campaigns | Budget cut or zeroed out | Left untouched |
| Total account spend | Can stay roughly flat | Always increases |
| Main risk | Losing reach and data in the campaigns you cut | Spend grows with no guarantee CPA holds |
| When it fits | Budget is fixed, you need more efficiency | Money is available, the job is scaling |
| What to watch after applying | Whether total conversion volume dropped | Whether CPA drifted up on the increment |
The practical read: Holistic is a reallocation tool, so by definition somebody loses budget. Growth is a scaling tool, so by definition the invoice grows. Pick the mode from your actual constraint — money or efficiency — not from the label Google marks as recommended.
How the forecast is built: seven days, trends and conversion lag
The forecast is typically based on a seven-day window and accounts for recent performance trends and conversion delays. That short horizon has three consequences.
One. The forecast is highly sensitive to which week preceded it. A flash sale, a tracking outage, a sales team on holiday, one freak day of leads — all of it feeds the calculation. Before applying anything, open your change history and performance drop diagnosis and confirm the prior week was representative.
Two. If your sales cycle is longer than a week, a seven-day forecast systematically undervalues upper-funnel campaigns. The longer your conversion window and click-to-conversion lag, the harder the tool pulls budget toward fast conversions: brand search, remarketing, hot demand.
Three. A forecast is not a promise. It shows the shape of the spend-to-result curve under the assumption that next week’s auction and demand resemble last week’s. In Q4 that assumption breaks more often than it holds.
How it differs from Performance Planner and the optimization score
Google Ads already has three tools that talk about budget. They answer different questions, and conflating them is expensive.
| Tool | Horizon | Question it answers | What applying it changes |
|---|---|---|---|
| Recommended Investment Strategy | ~7 days | Where to move or add money right now | Campaign daily budgets |
| Performance Planner | up to 18 months | What monthly or quarterly budget to commit and what target it implies | Nothing automatically — it is a plan |
| Optimization score and recommendations | no horizon | What in the account deviates from Google’s guidelines | Campaign settings, bids, assets |
| Bid, budget and target simulators | last 7 days | What last week would have looked like at a different budget | Nothing — it is a simulation |
The correct order is: Performance Planner sets the quarterly frame, Recommended Investment Strategy allocates this week’s money inside that frame, and only then do you work the optimization score list. Reverse that order and you end up scaling a structure you have not validated.
Which campaigns make the list and which do not
The table includes “performance campaigns” that meet eligibility: either budget is constraining at least one opportunity, or meaningful additional conversions are achievable at an acceptable CPA or ROAS. The tool respects your Smart Bidding targets — Target CPA or Target ROAS.
Three things worth knowing in advance:
- Campaigns on portfolio bid strategies and shared budgets behave differently: changing one campaign’s budget inside a shared pool does not produce the effect a naive calculation expects.
- Campaigns with different conversion goals are compared on nominally identical metrics. If one campaign drives leads and another drives purchases, a “conversion” is worth very different money to the business — and the tool does not know that until you feed it conversion value and value rules.
- Campaigns inside the Smart Bidding learning period produce noisy data, and a sharp budget change there restarts learning.
Under the hood: “limited by budget” does not mean “add money”
The “Limited by budget” status means exactly one thing: the campaign could have served more impressions at the same targeting if the daily budget were higher. It does not mean those extra impressions will pay for themselves.
The mechanics: Google estimates the volume of auctions the campaign qualifies for and compares it with actual spend. The gap is “lost volume”. Budget pacing then distributes money within the day, and when you raise the budget the campaign starts taking the more expensive, on average lower-quality auctions it previously skipped.
That is why the spend-to-conversions curve is almost always concave: the first added percentage points of budget buy nearly linear growth, then diminishing returns set in. Recommended Investment Strategy draws exactly this curve. The beginner’s error is reading it as a straight line and then being surprised that CPA rose.
Second point: the tool cannot see cannibalisation between campaigns. Fund Performance Max and part of the lift may come out of brand search, which simply loses conversions in the report. At account level the gain comes out smaller than the sum of the per-row forecasts.
Worked example: six campaigns, two modes, two outcomes
Take a hypothetical account spending 7,000 a week at a 25 target CPA. The numbers below are illustrative of the mechanics, not benchmarks.
| Campaign | Weekly spend | Conversions | CPA | Status |
|---|---|---|---|---|
| Search — brand | 800 | 96 | 8.3 | Limited by budget |
| Search — non-brand core | 2,200 | 88 | 25.0 | Limited by budget |
| Performance Max — catalogue | 2,400 | 80 | 30.0 | Eligible |
| Search — non-brand long tail | 900 | 18 | 50.0 | Eligible |
| Demand Gen — reach | 500 | 6 | 83.3 | Eligible |
| Search — new region test | 200 | 3 | 66.7 | Eligible |
Growth mode, +1,000 per week. The tool will almost certainly hand the money to the top two rows: brand and non-brand core. The forecast will look excellent, because brand converts at 8.3. Reality: brand is limited by brand demand, not by budget, so much of the added money either goes unspent or leaks into broader matching. Part of the projected lift is paper only.
Holistic mode, the same +1,000. The tool will additionally propose cutting “Demand Gen — reach” and “Search — new region test”. Arithmetically defensible: CPA there is 2.5–3× target. But Demand Gen is the demand that later closes through brand search, and the region test is your only read on a new market. Cut both and three weeks later brand search starts deflating while the regional hypothesis stays untested.
Three conclusions:
- Brand campaigns should be unchecked almost every time. They post the best CPA in the account, so they always win the recommendation — even though they have nowhere to grow.
- Test campaigns must be excluded manually. Their job is information, not CPA. The tool has no field for that.
- Upper-funnel campaigns cannot be judged on last-click logic — which makes your attribution model directly relevant: on last click, Demand Gen will always look worse than it is.
Step by step: applying recommendations in one evening
- Freeze a baseline. Export the last 28 days of spend, conversions, CPA and value per campaign. Without it you can prove neither a lift nor a drop.
- Verify last week was normal. Change history, tracking outages, promos, holidays. An atypical week means an irrelevant forecast.
- Choose the optimisation goal deliberately. “Conversions” and “conversion value” produce different allocations. If margins differ across products, only value is correct.
- Choose the mode. Fixed budget → Holistic. Spare money and a growth mandate → Growth.
- Set the amount. Start at 10–15% of current weekly spend, not at the slider maximum.
- Walk the table row by row. Uncheck brand, test and recently launched campaigns.
- Reconcile the totals. How much is added, how much is cut, what each new daily budget becomes. Confirm the new budget does not break your monthly cap once the 30.4 multiplier is applied.
- Apply and annotate. The application date must be visible on every dashboard, or in a month nobody will know what changed the trend.
When Holistic mode is dangerous
Holistic assumes every campaign in the account plays the same game and is comparable on CPA. Four situations where that is false:
- Different conversion goals. A lead campaign and a purchase campaign are not comparable on CPA. Separate primary and secondary conversions first.
- Different maturity. A campaign launched ten days ago has not revealed its real CPA yet.
- Different funnel role. Reach formats almost always lose on direct CPA and are almost always necessary.
- Seasonal and regional campaigns. A campaign waiting for its season looks unprofitable out of season.
Working rule: in Holistic mode, cap yourself at no more than 20–25% of any single campaign’s budget per application. It is a rough guardrail, but it prevents the case where the algorithm zeroes a campaign and you find out a week later through a drop in total volume.
How to verify the recommendation worked
A before-and-after comparison at account level proves nothing: the auction, the demand and your landing pages all changed over the same week. There are three defensible approaches.
Run an experiment. The cleanest path is pushing the budget change through Experiment Center with a traffic split, so control and test live in the same time window.
Keep a frozen control. If a split is impossible, leave two or three comparable campaigns unchanged and measure movement relative to them rather than to last week.
Measure at account level, not row level. Sum the per-row forecasts and compare with the actual account lift. A systematic 20–30% gap is your cannibalisation; carry it forward as a correction factor next time.
Track share of spend by campaign alongside CPA. An unnoticed shift of budget into brand is the single most common quiet reason for “CPA improved but revenue did not”.
Seven mistakes with this tool
- “Apply all” without reading the rows. One click can zero a test campaign and double brand.
- Maxing the slider immediately. The top of the curve is the least reliable part of the forecast.
- Optimising for clicks when the business goal is revenue. You get reallocation into cheap, off-target traffic.
- Applying during a sale or at a season boundary. The seven-day forecast rests on an unrepresentative week.
- Applying right after changing target CPA or ROAS. The tool models settings that have not played out yet.
- No annotation of the application date. A month later nobody can explain the inflection on the chart.
- Re-applying daily. Campaigns never leave the transition state and you get permanent noise instead of a result.
Who should skip it, and when it is not needed
The tool is useless or harmful in three situations. First, an account younger than a month: there is no performance history, so the forecast is built on noise. Second, fewer than three or four performance campaigns: there is nothing meaningful to reallocate between and the decision is made by eye. Third, tracking you do not personally trust. Close that gap first — audit enhanced conversions and data quality — because any budget tool is an amplifier of whatever sits in the Conversions column.
One more case: a hard contractual monthly cap. Growth mode then proposes money you do not have, and Holistic requires sign-off on every cut. In that setup treat the tool as an idea generator, not a button.
Checklist before you press “Apply all”
- 28-day baseline exported for every campaign.
- Last week checked for atypical events.
- Optimisation goal matches the business metric.
- Mode chosen from your real constraint, not from the “recommended” label.
- Investment amount capped at 10–15% of weekly spend on the first pass.
- Brand campaigns excluded.
- Test and recently launched campaigns excluded.
- New projected monthly spend reconciled against the cap.
- Dashboards annotated with the date.
- Review date booked for 14 days out, not sooner.
Running this inside a team
On teams handling 20+ accounts, the tool fits neatly into a weekly rhythm. One person walks the accounts once a week and writes the proposed changes into a shared sheet — without applying anything. A second person, the one who owns account P&L, decides row by row. The first person then applies what was approved.
That two-step process takes 10–15 minutes per account and removes the main operational risk: recommendations applied by someone who does not own the month’s result. Keep a log too — date, mode, amount, which campaigns were excluded and why. After a quarter that log answers whether the tool deserves trust on this type of account at all.
When you run many accounts in competitive niches, infrastructure stability becomes its own variable — Google Ads agency accounts give a more predictable base for this kind of process than a pile of disconnected logins. A structured walk-through of budget mechanics is part of the Google Ads guide.
Persistent misconceptions
“Google recommends whatever benefits Google.” Too crude. The forecast runs on your own data, and in Holistic mode the tool explicitly proposes cutting spend. That said, a seven-day horizon plus no knowledge of your unit economics genuinely biases recommendations toward fast conversions.
“The forecast missed, so the tool lies.” A forecast is a conditional statement: given a similar auction and similar demand. A miss usually means the week was different.
“Holistic saves budget.” Holistic reallocates and can also add weekly spend. It promises efficiency, not savings.
“It replaces Performance Planner.” No: seven days versus eighteen months. Different planning layers.
FAQ
Where is Recommended Investment Strategy located?
Campaigns → Recommendations, then the Investment Strategy tab at the top. If the tab is missing, your account has no campaigns that meet the tool’s eligibility criteria.
What is the difference between Holistic and Growth in one sentence?
Holistic moves budget from weaker campaigns to stronger ones and may add on top; Growth only adds new budget to strong campaigns and cuts nothing.
What horizon does the forecast cover?
Typically seven days, accounting for recent trends and conversion delays. For quarterly planning use Performance Planner instead.
What happens to campaigns I uncheck?
Nothing: they retain their existing budget and bid strategy settings.
Can I apply recommendations to campaigns on shared budgets?
Technically the tool operates on campaign budgets, but with shared budgets and portfolio strategies the effect of one row spreads across the whole pool. Handle those campaigns separately.
How soon will I see a result?
Plan on 14 days minimum: one week to clear the transition state, one week of clean data. With a long sales cycle, allow your conversion window plus a week.
Does the tool account for my margin?
No. It optimises conversions or the conversion value you send it. For profit-aware allocation, send value that already reflects margin.
Why is the sum of row forecasts larger than the actual account lift?
Usually cannibalisation: some of the “new” conversions came from your other campaigns. Measure the gap and reuse it as a correction factor.
Can applying recommendations reset Smart Bidding learning?
A sharp budget change can push a campaign into a transition state. Move budgets in steps rather than multiples.
Should I apply recommendations right before Black Friday?
No. The forecast is built on an unrepresentative week. Plan peak-season budgets in advance and use this tool once seasonal demand has settled.
Is this the same as the optimization score?
No. The optimization score measures how closely your settings match Google’s guidelines; Recommended Investment Strategy allocates money between campaigns.
How do I know the tool cannot be trusted on my account?
If three consecutive applications produce forecasts that miss actuals by more than a third, you either have a conversion-data problem or an account too small for the statistics. Either way, decide by hand.
What to do next
The tool is useful as a fast answer to “where in this account is there unclaimed volume right now”. It does not answer “what exactly are we paying for” or “who gets credit for the conversion” — and without those two answers any budget allocation rests on sand. The first is covered in the breakdown of pay for conversions in Google Ads, the second in the guide to DDA versus last click attribution models.
If you need a stable base under scaling, look at PPC Rebels services — infrastructure predictability directly determines whether your budget decisions survive long enough to produce a result.
