Sprites LogoSprites.ai
Product

Run and Optimize Ads

Goal Optimization (ROAS & CPL)

Goal Optimization (ROAS & CPL)

Meta Ads

Meta Ads

Google Ads

Google Ads

LinkedIn Ads

LinkedIn Ads

TikTok Ads

TikTok Ads

Create & Analyze Creative

Creative Analytics

Creative Analytics

Ad Generator

Ad Generator

Ad Hooks & Angles

Ad Hooks & Angles

Research & Intelligence

Competitor Intelligence

Competitor Intelligence

Market Research

Market Research

SEO & Web Traffic Analysis

SEO & Web Traffic Analysis

SEO & AI Visibility

AI SEO Content

AI SEO Content

AI Visibility (GEO/AEO)

AI Visibility (GEO/AEO)

SEO Site Audit

SEO Site Audit

Keyword Research

Keyword Research

By Use Case

B2B ABM

B2B ABM

D2C, Ecommerce & Brands

D2C, Ecommerce & Brands

Mobile Apps

Mobile Apps

PLG SaaS

PLG SaaS

SMB & Startups

SMB & Startups

CapabilitiesCustomersBlogPricing
Book a demo
Book a demo
Sprites LogoSprites.ai
Product
CapabilitiesCustomersBlogPricing
Book a demo
Back

Run and Optimize Ads

Goal Optimization (ROAS & CPL)

Goal Optimization (ROAS & CPL)

AI-driven ROAS and CPL improvements across all ad accounts

Meta Ads

Meta Ads

Scale Facebook & Instagram campaigns with AI

Google Ads

Google Ads

Optimize Search, PMax, and Shopping campaigns

LinkedIn Ads

LinkedIn Ads

B2B targeting, sponsored content, and ABM

TikTok Ads

TikTok Ads

Short-form video campaigns and performance optimization

Create & Analyze Creative

Creative Analytics

Creative Analytics

Analyze winning hooks, angles, and ad concepts from competitors

Ad Generator

Ad Generator

Generate high-converting ad creatives for any platform

Ad Hooks & Angles

Ad Hooks & Angles

Research viral hooks and angles from Reddit, Instagram, and YouTube

Research & Intelligence

Competitor Intelligence

Competitor Intelligence

Deep analysis of competitor ads, SEO, and AI visibility

Market Research

Market Research

Uncover trends, audience insights, and market opportunities

SEO & Web Traffic Analysis

SEO & Web Traffic Analysis

Find SEO gaps, track rankings, and boost organic traffic

SEO & AI Visibility

AI SEO Content

AI SEO Content

Write and publish SEO-optimized articles automatically

AI Visibility (GEO/AEO)

AI Visibility (GEO/AEO)

Optimize your brand for generative AI search results

SEO Site Audit

SEO Site Audit

Comprehensive site audits with prioritized recommendations

Keyword Research

Keyword Research

Bulk and location-specific keyword research with AI insights

See all

By Use Case

B2B ABM

B2B ABM

Account-based marketing and B2B lead generation

D2C, Ecommerce & Brands

D2C, Ecommerce & Brands

Scale direct-to-consumer and ecommerce campaigns

Mobile Apps

Mobile Apps

User acquisition and in-app conversion optimization

PLG SaaS

PLG SaaS

Product-led growth campaigns and intent-based targeting

SMB & Startups

SMB & Startups

Fast, affordable ad management for growing teams

  1. Home/
  2. Free Tools/
  3. Campaign Budget Allocator
Campaign budget allocator

Campaign Budget Allocator

Enter your total budget and each channel’s current ROAS for an instant, efficiency-weighted split across Meta, Google, LinkedIn, TikTok, and Reddit — with projected revenue and blended ROAS.

ChannelCurrent ROASRecommended budgetProjected revenue
Meta$7,394(25%)$25,880
Google$8,873(30%)$37,268
LinkedIn$4,437(15%)$9,317
TikTok$5,915(20%)$16,563
Reddit$3,380(11%)$5,408
Projected total revenue
$94,437
Blended ROAS
3.15×

This is an efficiency-weighted starting point: budget is split in proportion to each channel’s current ROAS. It ignores diminishing returns and channel caps — treat it as a first pass, not a ceiling. A live optimizer re-solves this as performance shifts.

Want the full breakdown and benchmarks emailed?

The calculator above gives you the number instantly. Drop your email for a deeper, account-specific audit and a 1-page PDF you can share.

The budget-allocation problem

Deciding how to split a fixed budget across Meta, Google, LinkedIn, TikTok, and Reddit is one of the highest-leverage choices in performance marketing, and one of the least systematic. Most teams anchor on last year’s split or on gut feel about which channel "works," when the data usually argues for a different mix.

A reasonable first principle is to fund efficiency: put more budget where each dollar currently returns the most. This calculator allocates your total in proportion to each channel’s current ROAS, so a channel returning 4× receives more than one returning 2×, and shows the projected revenue and blended ROAS that split implies. It is a transparent starting point you can reason about, not a black box.

Why proportional-to-ROAS is a start, not an answer

The simple allocation assumes ROAS stays constant as you move money, and it does not. Every channel has a diminishing-returns curve: shift a large sum onto your best channel and its ROAS will fall as you push past the cheap, high-intent audience into more expensive impressions. A more sophisticated allocation solves for the point where the marginal return of the next dollar is equal across channels — that is where a fixed budget produces the most total revenue.

The simple split also ignores structural constraints. Channels have minimum viable budgets below which they never exit the learning phase, caps above which they cannot spend efficiently, and roles in the funnel that a single ROAS number cannot capture. Use the proportional split to see the shape of the opportunity, then adjust for these realities before you commit.

Channel roles matter as much as channel ROAS

A ROAS-weighted split treats every channel as interchangeable revenue, but channels play different roles. Google search and retargeting largely harvest existing demand and post high ROAS as a result; prospecting on Meta, TikTok, or Reddit creates the demand those channels later harvest, and looks less efficient on a last-click basis even when it is driving the whole system.

If you optimize purely to reported ROAS, budget drains toward demand-harvesting and starves demand-creation, and a few months later the harvesting channels have less to harvest. The fix is to judge upper-funnel channels on incremental new customers rather than headline ROAS, and to protect a prospecting budget even when its ROAS looks lower than retargeting’s.

A worked example

Suppose you have $30,000 a month and your current ROAS is 4.2× on Google, 3.5× on Meta, 2.8× on TikTok, 2.1× on LinkedIn, and 1.6× on Reddit. Proportional-to-ROAS puts roughly $8,800 on Google, $7,300 on Meta, $5,900 on TikTok, $4,400 on LinkedIn, and $3,400 on Reddit, for a blended ROAS around 3.2× and projected revenue near $96,000.

That is a sensible first pass. Now apply judgment: Reddit ads are often under-priced and under-contested, so a channel showing 1.6× today may have more efficient headroom than a saturated one showing 4×; LinkedIn may deserve more if your ICP is strictly B2B; and if $4,400 is below LinkedIn’s minimum viable budget, you may consolidate it into the channels that can use it well. The calculator gives you the baseline; you supply the strategy.

From a static split to a live optimizer

Any allocation is stale the moment performance shifts. ROAS moves week to week with auction dynamics, creative fatigue, seasonality, and audience saturation, so a budget that was optimal in January is merely adequate by March. The teams that compound reallocate continuously, in small evidence-led steps, rather than resetting once a quarter.

That is the case for automation. A live cross-channel optimizer re-reads performance across every platform and rebalances budget toward what is working — which is what Sprites does under your approval across Meta, Google, LinkedIn, TikTok, and Reddit, turning a one-time calculation like this into a standing process.

Frequently asked questions

How should I split my ad budget across channels?

+
A defensible starting point is to weight budget toward the channels returning the most per dollar — allocate in proportion to each channel’s current ROAS. This calculator does exactly that. It is a first pass, not a final answer: it deliberately ignores diminishing returns, minimum viable budgets per channel, and the role each channel plays in the funnel, all of which you layer on next.

Why not just put everything into my highest-ROAS channel?

+
Because ROAS falls as you scale a channel. The first dollars reach the cheapest, highest-intent audience; each additional dollar reaches a harder, more expensive one, so ROAS decays. Concentrating the whole budget in one channel drives it up that decay curve fast, while starving channels that would have delivered efficient volume. Diversification is how blended efficiency stays high as spend grows.

What is a minimum viable budget per channel?

+
Each channel needs enough spend to exit the learning phase and generate statistically meaningful data — often a few hundred to a few thousand dollars a week depending on your CPA. Splitting a small budget across five channels can leave every one of them under that threshold, so none optimizes well. With a limited budget, concentrate on two or three channels rather than spreading thin.

How often should I reallocate budget?

+
Frequently enough to follow performance, rarely enough to let campaigns exit learning and stabilize. Weekly reviews with smaller, incremental shifts usually beat large monthly swings, which reset the platforms’ learning and add volatility. The point is continuous, evidence-led rebalancing rather than a set-and-forget annual plan.

Should prospecting and retargeting share the same budget logic?

+
No. Retargeting almost always shows a higher ROAS because it harvests demand that prospecting created, so a pure ROAS-weighted split over-funds it and starves the top of the funnel that feeds it. Budget prospecting and retargeting separately: size retargeting to the volume of demand prospecting generates, and judge prospecting on incremental new customers, not headline ROAS.

Does this account for seasonality?

+
Not directly — it allocates on the ROAS numbers you enter, so it reflects seasonality only insofar as your current ROAS already does. In practice you raise budgets into strong seasons and trim in weak ones, and you re-enter updated ROAS as it moves. A live optimizer does this continuously by re-reading performance and reallocating automatically.

Let Sprites run the math on your live accounts

Connect Meta, Google, LinkedIn, and Reddit and Sprites tracks these numbers continuously — and acts on them, under your approval.

Book a demo
Start free →

Get the free AI-First Marketing Playbook

Packed with proven tactics, creative inspo, and automation tips to help you grow faster with less guesswork.
By clicking send you agree to the Terms and Conditions

Pillars

AI Marketing AgentVibe MarketingAI VisibilityAI Marketing AutomationAI for Meta AdsAI for Google AdsAI for LinkedIn AdsAI SEO

For Teams

For AgenciesFor EcommerceFor FintechFor HealthtechFor EnterpriseFor FreelancersFor Marketing Teams

Prompts Gallery

Marketing Campaign BuilderGoogle Ads Search Campaign BuilderCompetitor Meta Ads AnalyzerSEO Audit + Plan GeneratorGoogle Ads Campaign OptimizerGoogle Ads: PMax Campaign Builder

About

CustomersBlogPrivacy PolicyCareersSitemap
Sprites TextWizard