How to Allocate Your Ad Budget Across Google, Meta, LinkedIn, and TikTok

You have $10,000 per month for paid advertising. How much goes to Google? How much to Meta? Should you bother with LinkedIn at $45 CPMs? Is TikTok a real channel or a distraction? Most B2B companies answer these questions with gut instinct, historical inertia, or whatever the last conference speaker recommended. The result is a budget that over-indexes on one platform, under-invests in others, and has no mechanism for rebalancing based on performance. This guide provides a data-driven framework for allocating ad budget across Google, Meta, LinkedIn, and TikTok that adapts to your funnel data, business model, and growth stage. It is not a one-size-fits-all split. It is a decision-making system that produces the right allocation for your specific situation and adjusts as conditions change.

The framework is built on a simple principle: allocate budget based on marginal efficiency, not historical spend. The question is not "Where did we spend last month?" but "Where does the next dollar produce the most revenue?" This requires cross-platform measurement, clear attribution, and the willingness to move money away from platforms that feel safe but are not performing. Most companies resist this because moving budget feels risky. Keeping an underperforming budget static is riskier.

Why Most Budget Allocations Are Wrong

The default B2B ad budget allocation is usually one of three patterns, and all three are wrong.

Pattern 1: The Google-only trap. Many B2B companies start with Google Search because it captures existing demand. When it works, they scale it. When CPCs rise and volume plateaus, they increase bids and add broader keywords. Eventually, 80%+ of the budget is on Google, CPAs are climbing, and the company has no demand generation engine outside of Google. They are entirely dependent on a single platform for lead generation, which is a business risk.

Pattern 2: The LinkedIn prestige tax. LinkedIn feels safe for B2B because the targeting is precise and the audience is professional. But LinkedIn CPMs ($35-45) are 3-5x higher than other platforms, and the lead quality advantage often does not justify the cost premium. Companies overspend on LinkedIn because it feels "right" for B2B, not because the data supports it. When forced to compare CPA across platforms, many discover that Meta and TikTok produce equal-quality leads at 40-60% lower cost.

Pattern 3: The spray-and-pray approach. Some companies split their budget evenly across platforms (25% each) without regard for platform strengths or funnel alignment. This produces mediocre results everywhere because no platform receives enough budget to optimize effectively. TikTok's algorithm needs 50+ conversions to exit the learning phase. If your budget only produces 3 conversions per week on TikTok, you never exit learning and the platform never optimizes for you.

The 40/30/20/10 Starting Framework

Every budget allocation needs a starting point. The 40/30/20/10 framework provides one based on the typical B2B SaaS funnel, adjusted for platform strengths and cost efficiencies. It is not the final allocation. It is the starting allocation that you refine with data over 60-90 days.

Google: 40% (Intent Capture)

Google gets the largest share because it captures existing demand. When someone searches "revenue attribution software" or "best marketing analytics tool," they have declared intent. They are actively looking for a solution. Google Search ads intercept this intent and direct it to your landing page. No other platform can do this because no other platform has search intent signals.

Within the Google allocation, split the budget: 60% to Search (branded + non-branded), 25% to Performance Max (Google's AI-driven cross-channel campaigns), and 15% to YouTube (for top-of-funnel video ads that build awareness and remarketing audiences). Google Search is the foundation because it converts at the highest rate. Performance Max extends reach across Google properties. YouTube provides the video format that works for awareness and retargeting.

The 40% allocation assumes you have sufficient search volume for your category keywords. If your category is nascent (few people search for it), reduce Google to 25-30% and reallocate to demand generation on Meta and TikTok. You cannot capture demand that does not exist. You have to create it first.

Meta: 30% (Awareness + Retargeting)

Meta (Facebook + Instagram) gets 30% because it is the most efficient platform for reaching B2B audiences at scale outside of search. Meta's audience network is massive (3 billion monthly active users), its targeting has improved significantly for B2B with interest-based and behavior-based signals, and its remarketing capabilities are unmatched. Meta CPMs for B2B audiences ($15-25) are 50-60% cheaper than LinkedIn, and the audience quality gap has narrowed as Meta's B2B targeting has improved.

Within the Meta allocation, split: 50% to top-of-funnel awareness campaigns (interest-based and lookalike audiences), 30% to mid-funnel campaigns (content engagement, lead magnets), and 20% to retargeting (website visitors, video viewers, engagement audiences). The awareness campaigns feed the retargeting pool. Without the awareness spend, you will not have enough retargeting volume to sustain the mid and bottom-funnel campaigns.

Meta's strength for B2B is scale and cost efficiency, not precision targeting. You will not hit "VP of Engineering at companies with 100-500 employees" with the same accuracy as LinkedIn. But you will reach a much larger audience for much less money, and Meta's conversion optimization algorithms will find the responsive users within that audience.

LinkedIn: 20% (Precision Targeting)

LinkedIn gets 20% because it offers targeting precision that no other platform can match: job title, seniority, company size, industry, and specific company lists. This precision is worth a premium for middle and bottom-of-funnel campaigns where reaching the exact right person justifies the higher CPM. It is not worth the premium for broad awareness campaigns because the targeting precision is wasted on users who are not yet problem-aware.

Within the LinkedIn allocation, split: 40% to ABM campaigns targeting specific account lists (companies you know are in-market or match your ICP), 40% to thought leadership ads (promoting high-value content to build authority with your target personas), and 20% to retargeting (website visitors from target companies, LinkedIn engagement audiences). Do not use LinkedIn for broad awareness. Use it for precise, high-value targeting where the targeting premium pays off.

The 20% allocation is lower than most B2B companies are comfortable with, and that is the point. LinkedIn's high CPMs mean that every dollar spent there has to work harder. By concentrating LinkedIn spend on precision campaigns (ABM, thought leadership for specific personas), you maximize the ROI of the premium you are paying. Spreading LinkedIn budget across broad awareness campaigns is the most common way B2B companies waste ad budget.

TikTok: 10% (Cost Arbitrage and Testing)

TikTok gets 10% as a testing allocation. The platform offers the lowest CPMs, the fastest creative testing cycles, and a growing professional audience. But its B2B targeting is less mature, the creative requirements are different (native video vs. polished brand ads), and the measurement infrastructure is still developing. The 10% allocation is enough to run meaningful tests and build pixel data without putting significant budget at risk.

Within the TikTok allocation, spend 70% on top-of-funnel awareness (interest-based audiences, broad targeting) and 30% on retargeting (website visitors, video viewers). The primary goal of TikTok in the first 90 days is data collection: building pixel data, testing creative formats, and establishing baseline performance metrics. After 90 days, you will have enough data to decide whether TikTok deserves 15-20% of the budget or should remain at 10%.

Adjusting the Framework for Your Business

The 40/30/20/10 framework is a starting point. Your actual allocation should be adjusted based on four factors: your growth stage, your average contract value (ACV), your sales cycle length, and your category maturity.

The Marginal Efficiency Rebalancing Method

The starting allocation gets you running. The rebalancing method keeps you optimized. The principle is simple: move budget from the platform with the highest marginal CPA to the platform with the lowest marginal CPA. "Marginal CPA" means the cost per acquisition for the next incremental lead from each platform, not the average CPA. This distinction is critical because platforms have diminishing returns as you scale spend.

Here is how it works in practice. After 30 days with the starting allocation, calculate the CPA for each platform. Suppose Google is at $85, Meta is at $62, LinkedIn is at $140, and TikTok is at $55. The marginal efficiency principle says: move $500 from LinkedIn (highest CPA) to TikTok (lowest CPA) next month. Then recalculate after another 30 days. If TikTok's CPA has risen to $70 (because you saturated the most responsive segment of the audience) and Google's CPA has dropped to $78 (because competitor bidding decreased), move $500 from Meta to Google.

This monthly rebalancing keeps your budget aligned with current platform performance. It prevents the common problem of maintaining historical allocations long after the performance data has changed. The company that rebalances monthly will outperform the company that sets an allocation in January and does not revisit it until December, even if both start with the same budget and the same platforms.

Diminishing Returns and the Efficiency Frontier

Every platform has a point of diminishing returns where increasing spend produces worse CPA. Google Search has the most aggressive diminishing returns because the high-intent audience is finite. Once you are capturing 90% of relevant search queries, additional spend goes to broader, lower-intent queries that convert at lower rates. Meta has more gradual diminishing returns because the audience is larger and the algorithm can find new responsive users as budget increases. LinkedIn has steep diminishing returns above moderate spend levels because the professional audience is smaller.

The efficiency frontier is the budget level for each platform where marginal CPA starts exceeding your target. Below the frontier, each additional dollar produces an efficient return. Above the frontier, you are overspending on that platform. The goal of budget allocation is to spend up to the efficiency frontier on each platform and not beyond it. Any budget remaining after hitting the frontier on all platforms goes to the experimentation reserve.

Funnel-Stage Budget Allocation

Platform allocation is one dimension. Funnel-stage allocation is the other. Your total budget should be split across three funnel stages, and the platform allocation within each stage should reflect platform strengths at that stage.

Top of Funnel (40-50% of total budget): Building awareness and generating initial interest from people who do not yet know they have a problem or do not know solutions exist. Best platforms: Meta (efficient reach), TikTok (cost arbitrage, native content format), LinkedIn (thought leadership ads to specific personas), YouTube (video awareness). Metrics: CPM, video completion rate, brand search lift, website traffic growth.

Middle of Funnel (30-35% of total budget): Converting problem-aware visitors into leads through content offers, free tools, and educational resources. Best platforms: Google Search (capturing declared intent), Meta (lead gen forms, content downloads), LinkedIn (ABM campaigns to in-market accounts). Metrics: cost per lead, lead-to-MQL rate, content engagement rate.

Bottom of Funnel (15-25% of total budget): Converting known leads into demo requests, trials, and sales conversations. Best platforms: Google Search (high-intent branded and comparison queries), LinkedIn retargeting (reaching specific decision-makers at target accounts), Meta retargeting (website visitors, engagement audiences). Metrics: cost per opportunity, demo request rate, trial-to-paid rate.

The top-of-funnel allocation may seem high, but it feeds the middle and bottom-of-funnel campaigns. Without top-of-funnel investment, your retargeting audiences shrink, your brand search volume declines, and your middle-of-funnel campaigns have fewer qualified prospects to convert. Companies that cut top-of-funnel spend to boost bottom-of-funnel see a short-term CPA improvement followed by a medium-term pipeline decline as the demand generation engine starves.

Cross-Platform Measurement: The Foundation of Smart Allocation

Budget allocation decisions are only as good as your measurement. If you cannot compare CPA across platforms on an apples-to-apples basis, you cannot allocate optimally. Here is the measurement infrastructure you need.

Unified UTM structure. Every ad on every platform should use consistent UTM parameters: utm_source (google, meta, linkedin, tiktok), utm_medium (cpc, paid-social, display), utm_campaign (campaign name matching your naming convention), and utm_content (ad creative name). This enables tracking ad engagement across platforms in your analytics tool and CRM.

Multi-touch attribution. Last-click attribution makes Google Search look like the hero because it captures the final conversion action. But the prospect may have first encountered your brand through a TikTok ad, engaged with a Meta retargeting ad, and then searched your brand name on Google. Last-click attributes 100% of the credit to Google. Multi-touch attribution distributes credit across all touchpoints, revealing the true contribution of each platform. At minimum, use a linear or time-decay attribution model. Ideally, implement a data-driven model through your analytics platform.

Pipeline and revenue tracking. CPA at the lead level is insufficient for budget allocation. A $50 lead from TikTok that never converts to a sales opportunity is less valuable than a $120 lead from LinkedIn that converts at 40% to opportunities worth $25,000 each. Track cost per opportunity and cost per closed-won deal by platform. This requires connecting your ad platform data to your CRM pipeline data, either manually (monthly export and analysis) or through an integration (HubSpot, Salesforce, or a dedicated attribution tool).

Incrementality testing. Attribution models are approximations. Incrementality tests provide ground truth. Once per quarter, pause one platform entirely for 2-4 weeks in a specific geography and measure whether total conversions decline. If pausing Meta ads in the Central US region produces a 15% decline in overall conversions (not just Meta-attributed conversions), you have proof that Meta is driving incremental demand, not just taking credit for demand that would have converted anyway. These tests are uncomfortable but they produce the most reliable data for budget allocation decisions.

Budget Allocation by ACV and Sales Cycle

Your average contract value (ACV) and sales cycle length significantly affect optimal budget allocation because they determine how much you can afford to spend per acquisition and how long it takes to measure downstream ROI.

Low ACV, short sales cycle ($1K-5K ACV, 1-30 day cycle): Emphasize volume and velocity. Allocate heavily to Google Search and Meta where you can generate high volumes of leads at low CPAs. These leads convert quickly, so you get fast feedback on whether your spend is working. LinkedIn's CPM premium is hard to justify at low ACVs because you need many conversions to recover the cost. Recommended CPA target: 10-15% of ACV ($100-750).

Mid ACV, medium sales cycle ($5K-25K ACV, 30-90 day cycle): Balance volume and precision. The standard 40/30/20/10 framework works well here. Google captures intent, Meta generates awareness, LinkedIn provides precision for key personas, and TikTok offers cost-efficient testing. Recommended CPA target: 8-12% of ACV ($400-3,000).

High ACV, long sales cycle ($25K+ ACV, 90+ day cycle): Emphasize precision and account penetration. Increase LinkedIn to 30-35% for ABM campaigns targeting specific accounts. Google captures high-intent search but volume is limited for niche enterprise categories. Meta and TikTok play supporting roles for awareness and retargeting. Consider allocating 5-10% to offline channels (events, direct mail, sponsored research) that reach enterprise buyers. Recommended CPA target: 5-8% of ACV ($1,250-5,000+).

The Monthly Budget Review Process

Budget allocation is not a quarterly exercise. It is a monthly process that takes 2-3 hours and produces immediate improvements. Here is the monthly review agenda.

Step 1: Pull cross-platform performance data (30 minutes). Export spend, leads, CPA, pipeline, and revenue by platform for the past month. Calculate blended CPA and platform-level CPA. Calculate the cost per opportunity and cost per closed-won deal if you have enough downstream data.

Step 2: Identify the most and least efficient platforms (15 minutes). Rank platforms by CPA, cost per opportunity, and pipeline contribution. Identify which platform is producing the cheapest marginal leads and which is producing the most expensive. Also identify which platform's lead quality (measured by downstream conversion rates) is highest and lowest.

Step 3: Apply the rebalancing method (15 minutes). Move 5-15% of budget from the least efficient platform to the most efficient platform. Do not make dramatic shifts (more than 20% of a platform's budget) in a single month because performance data can be noisy. Gradual rebalancing is more reliable.

Step 4: Review experimentation results (30 minutes). Evaluate any tests from the experimentation reserve. Promote successful experiments to the main budget. Kill underperforming experiments. Identify new experiments for next month.

Step 5: Set next month's allocation and targets (30 minutes). Document the new allocation, the rationale for any changes, and the CPA/pipeline targets for each platform. Share with the team so everyone understands the priorities.

Common Budget Allocation Mistakes

Allocating by platform preference, not performance. The CMO loves LinkedIn. The growth marketer prefers Meta. The CEO heard about TikTok at a conference. Budget allocation based on internal preferences instead of external performance data wastes money. The only valid input for allocation decisions is platform-level CPA, lead quality, and pipeline contribution. Everything else is opinion.

Over-indexing on last-click attribution. Last-click attribution makes bottom-of-funnel platforms (Google Search, LinkedIn retargeting) look highly efficient and top-of-funnel platforms (Meta awareness, TikTok) look wasteful. But the bottom-of-funnel conversions only exist because the top-of-funnel platforms created the demand. Cutting top-of-funnel spend based on last-click data creates a 2-3 month lag before bottom-of-funnel performance degrades. By then, it is too late to recover without rebuilding the awareness engine from scratch.

Not spending enough per platform to exit the learning phase. Each ad platform's algorithm needs a minimum number of conversion events to optimize effectively. Google needs 30-50 conversions per month per campaign. Meta needs 50+ per ad set per week. TikTok needs 50+ per ad group. LinkedIn needs fewer because the audiences are smaller. If your budget is spread so thin that no platform gets enough conversions to optimize, none of them will perform well. It is better to concentrate on 2 platforms with sufficient budget than to spread across 4 platforms with insufficient budget on each.

Ignoring creative quality in allocation decisions. A platform's CPA is partly a function of your creative quality on that platform. If your TikTok CPA is high, the problem might not be TikTok. It might be that your TikTok creative looks like a LinkedIn ad. Before reallocating away from a platform, ensure your creative is native to that platform's format and audience expectations. Test 3-5 native creative variations before concluding that the platform does not work.

Failing to account for assisted conversions. A prospect might click a TikTok ad, visit your site, leave, see a Meta retargeting ad, return, leave again, Google your brand name, click a branded search ad, and convert. Last-click gives Google 100% credit. But without the TikTok and Meta touchpoints, the Google conversion would not have happened. Use assisted conversion reports (available in Google Analytics) to see which platforms initiate, assist, and close conversions. This data often reveals that "underperforming" platforms are actually driving the top-of-funnel activity that makes other platforms productive.

Scaling Budget: When and How to Increase Total Spend

The question of total budget is separate from the question of allocation. Increasing total ad spend only makes sense when your current campaigns are efficient (CPA is within target) and you have not hit diminishing returns on your primary platforms.

The 20% rule: Increase total budget by no more than 20% per month. Larger increases cause CPAs to spike because the platform's algorithm needs time to find new responsive users within the expanded budget. A 20% monthly increase gives the algorithm time to adapt while maintaining performance within an acceptable range.

Scale the winner first: When increasing budget, add spend to the platform with the best marginal efficiency. If Meta is producing leads at $55 and Google is at $85, additional budget goes to Meta until its marginal CPA rises to Google's level. Then distribute additional budget evenly between the two.

Open new channels before maxing existing ones: If you are hitting diminishing returns on Google and Meta, adding a new channel (TikTok, Reddit, podcast sponsorships) often produces better marginal returns than forcing more budget through saturated channels. The experimentation reserve is your mechanism for testing new channels before committing significant budget.

Ad budget allocation is not a creative decision. It is a math problem. The right allocation is the one that maximizes total pipeline for a given budget, and the only way to find it is to measure cross-platform performance, rebalance monthly based on marginal efficiency, and test continuously. The 40/30/20/10 framework gives you a defensible starting point. The monthly rebalancing method keeps you optimized as conditions change. And the experimentation reserve ensures you discover new efficient pockets of spend before your competitors do. The companies that treat budget allocation as a monthly optimization process outperform those that set it once and forget it, because the efficient frontier shifts every month as platforms change, audiences evolve, and competition fluctuates. Start with the framework. Measure everything. Rebalance monthly. Let the data decide where the next dollar goes.