Pricing
Priced on what it manages.
Prices are quoted rather than published, because the figure follows ad spend under management, connected ad accounts, brands and workspaces, generation usage and how deep the CRM and finance connections go. Every tier lists exactly what is in it; what varies is the figure. Pricing is never a percentage of your ad spend — a supplier who earns more when you spend more is the wrong supplier for a product whose job is sometimes to tell you to spend less.
Starter
One brand, your first channels, independent attribution from day one.
Flat monthly fee at the entry ad-spend band, quoted per workspace. Never a percentage of your media budget.
A single brand running paid media in-house, usually across one or two channels.
- Two connected ad accounts across Google, Meta, Microsoft or TikTok
- Independent journey attribution with a model and window you configure
- Campaign Constitution: spend ceilings, daily movement caps, protected campaigns
- Growth Brain proposals with evidence attached; you approve each action
- Creative generation for headlines, descriptions and image concepts at the entry usage tier
- Thirteen months of data and decision-object retention
Growth
Expected fitCRM truth connected, so budget follows qualified customers instead of form fills.
Flat monthly fee, quoted by ad spend under management and number of connected ad accounts.
Advertisers running three or more channels with a CRM worth optimising toward.
- Six connected ad accounts across two brands and workspaces
- CRM connection bringing lead, opportunity and customer quality into every decision
- Offline and enhanced conversions returned to each network's bidding model
- Bounded autonomous budget moves inside your daily caps, each one reversible
- Holdout and geo experiments run by the experiment service
- Creative fatigue detection with generated replacement variants
Business
Financial truth connected: Margin ROAS, refunds and contribution margin in the decision.
Annual agreement, quoted on ad spend under management, ad accounts, brands and the finance integrations you connect.
Multi-brand or multi-market advertisers whose finance system defines the target.
- Finance and accounting connections: collected revenue, refunds, contribution margin
- True ROAS and Margin ROAS reconciled across all four truth layers
- Twenty connected ad accounts across five brands and workspaces
- Approval workflows, role-based permissions and a Constitution per workspace
- Higher allowances for AI planning runs and creative generation
- Thirty-six months of retention with complete decision-object history
Agency
Every client in one place, with budgets, data and permissions isolated per client.
Quoted per client workspace in ad-spend bands, with volume tiers once you run many of them.
Agencies and in-house teams managing paid media for multiple clients.
- Unlimited client workspaces, each with its own Constitution and connections
- Client-ready records of what changed, why, and the evidence behind it
- Cross-client roll-ups of spend and outcomes without merging accounts
- Per-seat roles, approval chains and client-scoped access
- Exportable decision logs and experiment results under your own branding
- Pooled AI and creative generation usage across client workspaces
Enterprise
Large spend, many markets, your data model and your controls.
Custom annual agreement, quoted on spend under management, integration scope, retention period and support terms.
Large advertisers with complex data estates, procurement and security review.
- Unlimited ad accounts, brands, workspaces and markets
- Custom CRM, warehouse and custom source and finance integrations, including your own metric definitions
- SSO, SCIM provisioning, granular audit export and data residency options
- Dedicated API rate limits and direct access to the decision-object stream
- Named support, onboarding engineering and quarterly Campaign Constitution review
- Retention set by your own policy rather than by a plan tier
What the price follows
Six things, and none of them is a share of your spend.
Ad spend under management
Price follows the spend the platform is allowed to move, in bands. A workspace steering fifty thousand a month carries different evidence thresholds, action volume and reconciliation work than one steering five thousand. Bands, not a percentage — a cut of your media budget would pay us for telling you to spend more, which is the wrong incentive in a system that decides budgets.
Connected ad accounts and channels
Every connected ad account runs a channel adapter that reads entities and reported figures, writes actions, and absorbs that network's rate limits and schema changes. Each adapter also carries a reconciliation job on every sync, comparing what the network reports against what your own data recorded. Price scales with the number of accounts connected, not the number of ads inside them.
Brands, markets and workspaces
A workspace holds its own Campaign Constitution, its own connections, its own approval chain and its own separated history. Ten brands mean ten sets of limits to enforce and ten histories to keep apart, not one account with more rows in it. Workspaces are counted because the isolation is the thing being bought.
AI planning and creative generation usage
Analysis runs and generated creative consume model capacity, and a team testing forty concepts a month uses far more of it than a team testing four. Each plan includes an allowance metered per workspace and visible before you reach it. Nothing is throttled quietly — you see the remaining allowance and can raise it.
Data retention and decision history
Every action is kept as a decision object with the evidence that justified it, and attribution journeys are stored at event level rather than as daily totals. Longer retention means more storage and more reprocessing when you change an attribution model and want history restated under the new rule. Plans differ by how far back that history reaches.
Depth of CRM and finance integration
Reading what a network reports is cheap; joining it to opportunity stages, collected revenue, refunds and contribution margin is not. Those connections need field mapping, identity resolution and continuous reconciliation against your own system of record. The plans that include them cost more because they are the ones that make Margin ROAS and True ROAS possible at all.
Questions
Pricing and everything around it.
What does the platform do?
Realvertising coordinates advertising across Google, Meta, TikTok, LinkedIn, Microsoft and other channels from one level above the ad networks. It reads your first-party business data — conversions, CRM records, collected revenue — and decides which channels deserve budget, which business outcome each should optimise for, which audiences to expand or suppress, and which creative and landing pages get tested. The networks keep running their own auctions; the Growth Brain decides how they work together. Every change is bounded by the Campaign Constitution, logged with its evidence, and reversible.
Does it replace Google Ads, Meta Ads or TikTok Ads?
No. Google, Meta and TikTok run the auction — bid shaping, placement, per-impression delivery, audience matching inside their own inventory — and nothing here competes with that. Performance Max, Advantage+ and Smart+ keep running exactly as they do today; they are the execution layer the Growth Brain steers, and native network AI works better when it is fed real outcome data. What changes is the layer above them: which network gets the next euro, which business outcome each campaign is told to chase, and what happens when a network's reported ROAS does not match collected revenue.
Can it create campaigns?
Yes. You state the campaign intent — outcome, market, budget ceiling, constraints — and the platform builds campaign structure, audiences, budgets and ad variants for each channel through its channel adapters. Nothing reaches a live ad account until it passes the Campaign Constitution's checks, and approval gates can require a human on any account you choose. Every created object carries an idempotency key, so a retried build never leaves a duplicate campaign behind.
Can the AI change budgets automatically?
Yes, inside limits you set. The Campaign Constitution fixes a maximum daily movement, per-channel floors and ceilings, a maximum CAC, a minimum margin and the campaigns marked protected. The budget engine — deterministic code, not the model — computes the reallocation; the model decides that a reallocation is worth proposing and explains the reasoning. Anything outside your limits arrives as a proposal awaiting approval instead of an action.
Can it create ad creative?
Yes. It generates headlines, descriptions, image and video concepts and per-channel variant sets, drawing tone, brand rules and approved assets from your brand asset system and your content platform. Creative is produced against a hypothesis — an angle, an audience, a journey stage — and enters a test plan rather than an asset folder. When creative fatigue signals fire on a running variant, replacements are generated from the concepts still holding up.
Does it know which leads are good?
It knows what your CRM knows. The CRM truth layer reads lead status, opportunity stage, deal size, win rate and close date, then returns qualified outcomes to the networks as offline conversions so their bidding stops chasing form fills. A campaign credited with cheap leads that never reach opportunity stage becomes visible as exactly that. Qualification rules stay in your CRM; this product consumes them and never invents a second scoring model.
Can it optimise for revenue?
Yes. Collected revenue from your finance system is joined to the journey by the attribution service, so campaigns are judged against recorded amounts rather than conversion counts. Value signals go back to each network's bidding model, which is what lets network-side value optimisation work on real figures instead of static placeholders. Revenue is credited to channels under the attribution rule you choose — credit, not proof of cause, which is what experiments exist for.
Can it optimise for profit or margin?
Yes, where your finance or accounting system supplies the inputs. The business metrics service computes contribution margin per product, order or customer from cost, discount and refund data, and Margin ROAS is reported next to revenue ROAS. Budget rules can then be written against margin: a minimum gross margin floor, a maximum CAC per segment, a pause rule for products selling below their floor. Realvertising does not define your margin — it reads the definition your finance system already uses.
How is True ROAS different from platform ROAS?
Platform ROAS is what a network reports for conversions it can see and claim, on its own attribution window. True ROAS reconciles four layers kept separate — network truth, attributed truth, CRM truth and financial truth — and sets collected revenue against spend without flattening them into one figure. The gap between the two is the useful part: double-counted conversions, refunded orders, leads that never closed, and revenue no network claimed at all. Both numbers stay visible, because the platform figure still governs how that network's own bidding behaves.
Does it support attribution?
Yes. The attribution service runs independent journey tracking across sessions, devices and channels, applying the model you select — first touch, last touch, linear, position-based or data-driven — over an attribution window you configure. Attribution distributes credit under a rule; it does not establish what would have happened without the channel. Every figure states the model and window that produced it, so two numbers computed under different rules are never compared as though they were the same measurement.
Can it run experiments?
Yes — holdout tests and geo tests, run by the experiment service. A holdout keeps a defined share of an audience or a set of regions out of a campaign and compares outcomes against the exposed group, which is how incremental effect is estimated rather than credited. The Growth Brain proposes experiments where attribution and network reports disagree, and it will state plainly when a result is not yet separable from noise. Experiment results and attribution results stay in separate columns and are never merged into a single score.
What prevents the AI from overspending?
The Campaign Constitution. It sets an absolute spend ceiling per account and per channel, a cap on how far any budget may move in a day, a maximum number of actions per run, a maximum CAC, a minimum margin, and the list of protected campaigns that may never be touched. The action service checks every proposed change against those limits before it reaches an ad account and rejects whatever falls outside them. Limits are account-level configuration that you own; the model cannot widen its own bounds.
Is every action logged?
Yes. Each action is stored as a decision object: what changed, the previous value, the new value, the evidence behind it, the rule that permitted it, who or what approved it, and when. Every action carries a reverse path, so a budget shift, a pause or an audience change can be rolled back from the log itself. Actions are idempotent by key, so a retry after a network timeout does not apply the change twice.
Does it use consent and privacy data?
Yes. Your consent platform holds the configured state per user and region; Realvertising reads that state and enforces it, deciding which signals may be collected, which may be sent to which network, and which must be withheld. Where your policy allows it, consent-denied traffic is modelled in aggregate rather than tracked individually. This product enforces the policy you configure — it does not decide what the law requires of you, and it does not run a second consent engine beside yours.
Do I have to connect everything before it is useful?
No. One ad account is enough to begin: the platform reads network truth, builds independent journey attribution from your site, and reports where the two disagree. Connecting your CRM turns lead counts into opportunity and customer quality; connecting your finance system turns revenue into margin, and each connection adds a class of decision the earlier ones could not support. The interface shows which truth layers are live, so you always know which questions your current data can answer.
Is this an AI ad generator?
No. Generation is one capability inside a coordination system — headlines, descriptions, image and video concepts are real and included. The system exists for the decisions around them: which channels get budget, which outcome each should optimise for, which audiences to expand or suppress, which variant has fatigued, which landing page receives the traffic. A generator hands you more ads; this hands you an allocation of spend across networks that is answerable to collected revenue.
Is this a reporting tool?
No. Reporting describes what already happened; this plans, proposes and executes changes in your live ad accounts through channel adapters, inside the Campaign Constitution. The four truth layers exist so that decisions have a defensible basis, not so that a dashboard has more tabs. You can read every number, but the output of the system is a set of actions with evidence attached, each one reversible.
What happens when the data cannot answer the question?
It says so, and names what is missing. If margin is not connected, it reports revenue and marks margin unavailable rather than estimating it. If a sample is too small or a test has not reached a separable result, it reports the uncertainty and proposes the experiment or connection that would close the gap. The model never computes a business metric itself, so when the deterministic service cannot return a number, there is no number.
How fast does it change campaigns?
Fast enough to matter, slow enough to learn. Pacing and spend checks run continuously, while structural changes respect each network's learning phase so a campaign is not reset while its bidding model is still stabilising. The daily movement cap in your Campaign Constitution limits how far anything can travel in twenty-four hours, and minimum evidence thresholds stop a change from firing on one noisy day. Where evidence is thin, it proposes an experiment instead of a reallocation.
Can it run across several brands or clients?
Yes. Workspaces separate brands, clients and markets, each with its own connected ad accounts, data connections, Campaign Constitution and approval rules. Agencies work across clients from one place while budgets, data and permissions stay isolated per workspace, and every action is attributed to the person or rule that authorised it. Cross-workspace roll-ups compare spend and outcomes without mixing the underlying accounts.
What happens to my ad accounts if I disconnect or stop paying?
Your campaigns keep running exactly as they were. Realvertising never owns your ad accounts — it acts inside them through OAuth you granted and can revoke, and everything it created stays in place under your own account. Disconnecting stops new actions; it does not pause delivery, delete campaigns or claw back creative. The change log stays exportable so you keep the record of what was changed and why.
What does the AI never touch?
Anything your Campaign Constitution protects. Brand search campaigns, named markets, budget ceilings and any action type you have marked as approval-only are out of reach regardless of how confident a recommendation is — a rule always beats a score. Outside those, every executed action carries a before state, so a change can be reverted where the network API allows it.
One goal. Every channel. Real business truth.
Connect your ad accounts, say what a good customer is worth, and let the Growth Brain work the objective inside limits you set.
No ad spend commitment · Connect one channel to start · [email protected]