"How much should we spend on PPC?"

Last updated: June 2026

This is the most frequently asked question in performance marketing, and it has the most frequently wrong answer: "It depends."

While it does depend on many variables, that response is a cop-out. The right answer is a precise, calculated number derived from your revenue targets, unit economics, and channel benchmarks. In 2026, with Google Ads CPCs for B2B SaaS climbing and LinkedIn CPLs at a premium, setting your PPC budget based on guesswork is the fastest way to either waste money or under-invest in your most profitable acquisition channel.

This guide provides the exact formulas, frameworks, and step-by-step calculations to determine your ideal PPC budget for Google Ads, LinkedIn, Meta, and Reddit based on your specific business economics.

The Revenue-Backward PPC Budget Formula

The only correct way to set a PPC budget is to work backward from your revenue target. Here is the universal formula:

Step 1: Define Your Revenue Goal

Start with the revenue you need PPC to generate.

Example: Your company needs PPC to contribute $500,000 in new annual revenue.

Step 2: Calculate Deals Required

Divide revenue by your Average Deal Value (ACV for SaaS, AOV for e-commerce).

Formula: Revenue Goal ÷ Average Deal Value = Deals Required

Example: $500,000 ÷ $25,000 ACV = 20 new customers needed from PPC

Step 3: Calculate SQLs Required

Divide deals by your close rate (SQL-to-Customer conversion rate).

Formula: Deals Required ÷ Close Rate = SQLs Needed

Example: 20 ÷ 25% close rate = 80 SQLs needed

Step 4: Calculate MQLs Required

Divide SQLs by your MQL-to-SQL conversion rate.

Formula: SQLs Needed ÷ MQL-to-SQL Rate = MQLs Needed

Example: 80 ÷ 40% = 200 MQLs needed

Step 5: Calculate Total Ad Spend

Multiply MQLs by your expected Cost Per Lead by channel.

Formula: MQLs Needed × Expected CPL = Total PPC Budget

Example: 200 × $150 CPL (blended across Google + LinkedIn) = $30,000 total PPC budget

Step 6: Determine Monthly Budget

Divide by the number of months in your planning period.

Formula: Total PPC Budget ÷ Months = Monthly Ad Spend

Example: $30,000 ÷ 12 months = $2,500/month PPC budget

The Complete PPC Budget Calculator Table

Here is a ready-to-use calculator framework for different B2B scenarios:

Variable	SaaS (Enterprise)	SaaS (Mid-Market)	E-commerce (B2B)	Professional Services
Revenue Target from PPC	$1,000,000	$500,000	$2,000,000	$300,000
Average Deal Value	$50,000	$12,000	$500	$15,000
Deals Needed	20	42	4,000	20
Close Rate	20%	25%	3% (cart conversion)	30%
SQLs/Qualified Leads Needed	100	168	N/A (direct purchase)	67
MQL-to-SQL Rate	35%	40%	N/A	50%
MQLs Needed	286	420	133,333 (visits)	134
Expected CPL / CPC	$200 (CPL)	$120 (CPL)	$1.50 (CPC)	$100 (CPL)
Annual PPC Budget	$57,200	$50,400	$200,000	$13,400
Monthly PPC Budget	$4,767	$4,200	$16,667	$1,117

Channel-Specific Budget Allocation

Once you have your total PPC budget, allocate it across channels based on intent level and your specific ICP.

Recommended Budget Split by Business Type

B2B SaaS (High ACV, $25K+):

Channel	Budget %	Rationale
Google Ads (Search)	45%	Highest-intent buyers actively searching for solutions
LinkedIn Ads	30%	Precision targeting by job title, seniority, company size
Meta (Retargeting Only)	15%	Cost-effective retargeting of website visitors
Reddit / Emerging	10%	Lower CPM, test-and-scale for technical audiences

B2B SaaS (Mid-Market, $5K-$25K):

Channel	Budget %	Rationale
Google Ads (Search + PMax)	55%	Volume play with intent-based keywords
LinkedIn Ads	20%	Targeted campaigns for specific ICP segments
Meta (Prospecting + Retargeting)	20%	Broader reach at lower CPMs
Reddit / Other	5%	Experimental budget

E-commerce (B2B/D2C):

Channel	Budget %	Rationale
Google Ads (Search + Shopping)	50%	Product-intent searches and Shopping ads
Meta (Prospecting + Retargeting)	30%	Visual product ads, lookalike audiences
Google Display/YouTube	15%	Awareness and mid-funnel retargeting
Other	5%	TikTok, Pinterest for relevant categories

The Break-Even ROAS Calculator

Knowing your budget is half the battle. You also need to know the minimum Return on Ad Spend (ROAS) required to break even.

Break-Even ROAS Formula

Break-Even ROAS = 1 ÷ Profit Margin

Profit Margin	Break-Even ROAS
80% (SaaS)	1.25x
50% (Services)	2.0x
30% (E-commerce)	3.33x
20% (Low-margin retail)	5.0x

What this means: If you sell SaaS with 80% gross margins, you only need $1.25 in revenue for every $1 spent on ads to break even. If you sell physical products with 30% margins, you need $3.33 in revenue per $1 of ad spend.

Target ROAS for Profitability

Your target ROAS should be 1.5x to 2x your break-even ROAS to account for overhead, retention costs, and growth reinvestment.

Business Type	Break-Even ROAS	Target ROAS
B2B SaaS	1.25x	2x – 3x
Professional Services	2.0x	3x – 4x
E-commerce	3.33x	5x – 7x

The Payback Period: When Does PPC Actually Pay for Itself?

For subscription businesses (SaaS), the initial CPL is only part of the equation. The true metric is CAC Payback Period: how many months of subscription revenue does it take to recover the cost of acquiring that customer?

CAC Payback Period Formula

Payback Period = Customer Acquisition Cost ÷ Monthly Revenue Per Customer

Example:

Total CAC (ads + sales cost) = $2,500
Monthly subscription = $500
Payback Period = 5 months

Benchmark Payback Periods

Stage	Acceptable Payback	Excellent Payback
Early-Stage SaaS	< 18 months	< 12 months
Growth-Stage SaaS	< 12 months	< 8 months
Mature SaaS	< 8 months	< 6 months

If your payback period exceeds 18 months, your PPC campaigns are not unit-economic viable regardless of how many leads they generate.

Common PPC Budget Mistakes (And How to Avoid Them)

Mistake 1: Setting Budget Based on Competitors

"Our competitor spends $50K/month on Google Ads, so we should too." This is dangerous because your competitor may have different margins, different close rates, different ACV, or may be actively losing money on those campaigns. Always derive your budget from your own unit economics.

Mistake 2: Spreading Budget Too Thin

Running $500/month across Google, LinkedIn, Meta, Reddit, and TikTok simultaneously means you have zero statistical significance on any platform. Focus 80% of your budget on 1-2 channels, prove ROI, then expand.

Mistake 3: Not Accounting for Learning Period

Every new PPC campaign goes through a "learning phase" (2-4 weeks on Google, 1-2 weeks on Meta) where the algorithm is optimizing. Budget for this. Expect higher CPLs during weeks 1-3 and don't panic-cut budget before the algorithm has had time to learn.

Mistake 4: Ignoring the Full Funnel

A $50 CPL that generates junk leads your sales team can't close is infinitely more expensive than a $200 CPL that generates qualified prospects with 30% close rates. Always optimize for pipeline and revenue, not just CPL.

Mistake 5: Annual Set-and-Forget Budgets

PPC performance fluctuates seasonally, competitively, and algorithmically. The best teams review and reallocate PPC budgets monthly, shifting spend toward channels and campaigns producing the best cost-per-opportunity (not just cost-per-click).

Scaling Your PPC Budget: When to Increase Spend

Increase your PPC budget when ALL of the following conditions are true:

Your current ROAS exceeds your target ROAS by 20%+
Your CAC payback period is within healthy benchmarks
Your sales team can handle the additional lead volume
You have not yet saturated your target audience (frequency < 3x/week on social)

Scaling rule of thumb: Increase budget by 20-30% per month maximum. Larger jumps destabilize algorithm performance and spike CPCs.

Industry-Specific PPC Budget Benchmarks (2026 Data)

Different industries face vastly different PPC economics. Here are detailed benchmarks by vertical:

B2B SaaS

Metric	Benchmark Range
Google Search CPC	$5 – $25 (competitive terms: $30 – $50)
LinkedIn CPC	$8 – $15
Meta CPC (Retargeting)	$1.50 – $4.00
Average CPL (Blended)	$75 – $250
SQL-to-Close Rate	15% – 30%
Recommended Starting Budget	$3,000 – $5,000/month per channel

Professional Services (Agencies, Consulting)

Metric	Benchmark Range
Google Search CPC	$3 – $15
LinkedIn CPC	$6 – $12
Average CPL	$50 – $150
Lead-to-Client Rate	10% – 25%
Recommended Starting Budget	$1,500 – $3,000/month

E-commerce (B2B & D2C)

Metric	Benchmark Range
Google Shopping CPC	$0.50 – $3.00
Google Search CPC	$1.00 – $5.00
Meta CPC (Prospecting)	$0.80 – $2.50
Average CPA (Purchase)	$15 – $80
Target ROAS	4x – 8x
Recommended Starting Budget	$2,000 – $10,000/month

Healthcare & Medical Devices

Metric	Benchmark Range
Google Search CPC	$3 – $20
LinkedIn CPC	$8 – $18
Average CPL	$80 – $300
Recommended Starting Budget	$2,500 – $5,000/month

The PPC Budget Maturity Model

As your PPC program matures, your budget strategy should evolve through these stages:

Stage 1: Testing (Month 1-3)

Budget: $2,000 – $5,000/month Goal: Prove channel viability Strategy:

Focus on 1-2 channels maximum
Test 3-5 keyword themes
Track CPL and lead quality rigorously
Accept higher CPLs during the learning phase (expect 30-50% premium vs. steady-state)

Stage 2: Optimization (Month 4-6)

Budget: $5,000 – $15,000/month Goal: Achieve target unit economics Strategy:

Kill underperforming keywords and ad groups
Implement offline conversion tracking (GCLID to CRM pipeline)
A/B test landing pages (2-3 variants)
Begin building retargeting audiences

Stage 3: Scaling (Month 7-12)

Budget: $15,000 – $50,000+/month Goal: Maximize volume at target CAC Strategy:

Expand to additional channels (add LinkedIn if on Google only, or vice versa)
Launch competitor conquesting campaigns
Implement value-based bidding
Test Performance Max (Google) or Advantage+ (Meta)

Stage 4: Optimization at Scale (Month 12+)

Budget: $50,000+/month Goal: Maintain efficiency while pushing volume ceiling Strategy:

Multi-channel attribution to understand cross-channel effects
Incrementality testing to validate true lift
Creative fatigue management (refresh every 3-4 weeks)
Geographic and dayparting optimization

Budget Allocation by Funnel Stage

A critical and often overlooked element is splitting your PPC budget across funnel stages:

Funnel Stage	Budget Allocation	Keyword Types	Expected CPL
Bottom-of-Funnel (BOFU)	50% – 60%	Competitor terms, pricing, demo, free trial	Highest ($200+) but highest close rate
Middle-of-Funnel (MOFU)	25% – 35%	Category terms, "best [category]," comparisons	Medium ($100-$200)
Top-of-Funnel (TOFU)	10% – 15%	Educational terms, "how to," "what is"	Lowest ($30-$80) but lowest close rate

Critical insight: Allocate the MAJORITY of your budget to BOFU keywords. A $300 CPL that converts at 30% produces a $1,000 effective CAC. A $50 CPL that converts at 2% produces a $2,500 effective CAC. Cheaper leads are often more expensive customers.

Seasonal Budget Adjustments

PPC costs fluctuate significantly by season. Plan accordingly:

Period	CPC Trend	Budget Strategy
January-February	CPCs drop 10-20% (Q1 budget resets)	Increase spend to capture cheaper clicks
March-May	CPCs normalize	Steady-state budget
June-August	B2B CPCs often dip (vacation season)	Maintain budget; competition is lighter
September-October	CPCs rise as Q4 approaches	Increase budget 15-20% for Q4 pipeline
November-December	Highest CPCs of the year (Q4 spending surge)	Focus on retargeting (cheaper); reduce cold prospecting

The "Portfolio Theory" Approach to PPC Budgeting

Think of your PPC budget like an investment portfolio with different risk profiles:

Conservative allocation (risk-averse):

70% Google Search (high intent, predictable returns)
20% LinkedIn (precise targeting, higher cost)
10% Retargeting (proven audiences, low risk)

Balanced allocation:

45% Google Search
25% LinkedIn
15% Meta (retargeting + lookalike)
10% Reddit / emerging channels
5% Experimental (TikTok B2B, YouTube, podcasts)

Aggressive allocation (growth-focused):

35% Google Search
20% LinkedIn
20% Meta (prospecting + retargeting)
15% Reddit + emerging channels
10% Performance Max / broad AI-optimized campaigns

Choose your allocation based on your risk tolerance, growth targets, and current channel data. Start conservative, then shift toward balanced or aggressive as you build confidence in each channel's unit economics.

Ready to build a data-driven PPC budget? Talk to our paid acquisition team to get a custom budget calculator tailored to your revenue targets and industry benchmarks.

Source: Sotros Infotech Internal Data & Industry Benchmarks

PPC Budget Calculator: How to Calculate Your Ideal Ad Spend, Expected ROI & Break-Even Point (2026)