Skip to content
Upper OS
Upper OS
Log in Free Marketing Check Get started

Platform

Ten building blocks. One operating system.

Upper OS is not a toolbox but a connected system. Every building block has a clear job – and all of them share the same knowledge of your business and the same goal.

Select a building block to see its job and its connections.

Control

You Goals and approvals

Decision

Execution

  • Search
  • Advertising
  • Content
  • Social media
  • Email
  • Local
  • Video
  • Marketplaces
  • Website

Result

Insights flow back

01 Understands your business

Marketing Brain

The shared knowledge model of Upper OS: offering, customers, region, brand, competition and capacity. Every other building block draws on it.

Tasks

  • Brings together information from your website, conversations and connected systems
  • Records where each piece of information comes from and how current it is
  • Becomes more accurate with every verified result

Works together with: Goals & Strategy · Marketing Intelligence · Intelligent Prioritization · Marketing Operators · Performance & Verification · Learning Engine

02 From goal to strategy

Goals & Strategy

Holds your business goals and turns them into a marketing strategy: which levers make sense, which areas fit, how is the budget allocated?

Tasks

  • Captures goals with period, region and budget frame
  • Formulates a strategy and levers for every goal
  • Adapts the strategy when the goal or the market changes

Works together with: Marketing Brain · Marketing Intelligence · Intelligent Prioritization · Marketing Command Center

03 Watches the market and signals

Marketing Intelligence

Spots changes before they show up in a monthly report: demand, competition, seasonality and how your own channels are developing.

Tasks

  • Monitors search demand, competitors and your own channels
  • Interprets changes instead of just reporting numbers
  • Triggers a new prioritisation when needed

Works together with: Marketing Brain · Goals & Strategy · Intelligent Prioritization

04 Decides what matters first

Intelligent Prioritization

Rates every possible action across all marketing areas by its expected effect on your goal, effort, risk and budget – and sets the order.

Tasks

  • Compares actions from every area on the same scale
  • Takes budget, seasonality and your team’s capacity into account
  • Re-ranks as soon as new signals or results come in

Works together with: Goals & Strategy · Marketing Intelligence · Marketing Operators · Marketing Command Center

05 Specialists for every area

Marketing Operators

Specialised units for every marketing area – from search and advertising to content, social media and email, all the way to marketplaces and reviews. They prepare actions to a professional standard.

Tasks

  • Create content, campaigns and changes
  • Work across channels on the same priorities
  • Use only the permissions you have granted

Works together with: Intelligent Prioritization · Autonomous Execution · Autonomy & Approvals

06 Executes safely

Autonomous Execution

Carries out approved actions on its own and checks permission, budget cap and approval rule before every step. Every step is logged and can be stopped at any time.

Tasks

  • Checks rules and budget caps before every step
  • Pauses on its own when something looks unusual, and reports
  • Logs every step in a traceable way

Works together with: Marketing Operators · Autonomy & Approvals · Performance & Verification

07 Your rules for autonomy

Autonomy & Approvals

Defines what Upper OS may do on its own, what happens only after your approval and what is only proposed – per type of action, with roles and budget caps.

Tasks

  • Autonomy level per type of action
  • Roles: who may approve what
  • Hard budget caps per month and channel

Works together with: Marketing Command Center · Autonomous Execution · Marketing Operators

08 Your overview and your controls

Marketing Command Center

This is where you see the goal, priorities, ongoing activities and results – and approve whatever needs your consent.

Tasks

  • Shows the current status towards the goal at any time
  • Bundles every approval with its reasoning
  • Lets you step in or pause at any time

Works together with: Autonomy & Approvals · Intelligent Prioritization · Performance & Verification · Goals & Strategy

09 Measures what really works

Performance & Verification

Measures the contribution of every action to your goal and checks the measurement itself: results are matched against your own systems before they count.

Tasks

  • Checks measurement and attribution of results
  • Matches enquiries and sales against your systems
  • Compares expected and actual effect

Works together with: Autonomous Execution · Learning Engine · Marketing Command Center

10 Gets better with every result

Learning Engine

Records which assumptions held true and feeds the insights back into knowledge, strategy and prioritisation. Where a question is open, experiments and A/B tests provide the answer.

Tasks

  • Learns exclusively from verified results
  • Plans experiments and A/B tests for open questions
  • Feeds insights back to the Brain, strategy and prioritisation

Works together with: Performance & Verification · Marketing Brain · Goals & Strategy · Intelligent Prioritization

01 The building blocks in practice

What each building block does day to day.

Using the example of a regional heating and plumbing business: this is what the work of each building block looks like.

Marketing Brain

One knowledge model that everyone uses.

Instead of briefing every agency and every tool from scratch, the Marketing Brain records what defines your business – with the source and date of every piece of information.

Marketing Brain · Knowledge sources

Example scenario
Heat pumps are the service with the best margin. Conversation with management 29 Sept 2026
Most common customer question: costs and subsidies. Customer database, enquiries of the last twelve months 2 Oct 2026
Formal address, factual and locally rooted. Website 29 Sept 2026
One installation team becomes available again in December. Conversation with management 6 Oct 2026

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Goals & Strategy

From the goal to the right levers.

Goals & Strategy breaks your goal down into a few clear levers and assigns the right actions to each. That way it stays visible why something is being done.

Goals & Strategy · Strategy for the goal

Example scenario

Goal 40 qualified quote requests per month

  1. Lever 1

    Be found locally

    • Search campaign “Heat pump advice”
    • Complete the Google Business Profile
  2. Lever 2

    Build trust

    • Ask for a review after every job
    • Show reference projects on the website
  3. Lever 3

    Answer questions about costs

    • Guide “Heat pump instead of oil heating”
    • Checklist on subsidies

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Marketing Intelligence

Spot changes while they are still useful.

Marketing Intelligence does not just report numbers – it interprets them: what has changed, what does it mean for your goal, and what follows from it?

Marketing Intelligence · Signals this week

Example scenario
  • Demand

    More local searches about subsidies for heat pumps

    Interpretation
    The question of costs and subsidies is becoming more important.
    Consequence
    The guide on costs and subsidies moves up.
  • Competition

    A regional competitor now advertises a free first consultation

    Interpretation
    Your own consultation offer should be more visible.
    Consequence
    Ad texts put the personal consultation first.
  • Season

    The heating season begins

    Interpretation
    Enquiries about replacing heating systems rise seasonally.
    Consequence
    Budget stays on local search – within the cap.

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Intelligent Prioritization

First things first – across every area.

Intelligent Prioritization compares every possible action on the same scale: what moves your goal forward the most – measured against effort, risk and budget?

Intelligent Prioritization · Priorities this week

Example scenario
  1. Complete the Google Business Profile

    Local

    Effect
    High
    Effort
    Low
    Risk
    Low
  2. Guide on costs and subsidies

    Content

    Effect
    High
    Effort
    Medium
    Risk
    Low
  3. Ask for a review after every job

    Reputation

    Effect
    Medium
    Effort
    Low
    Risk
    Low
  4. Expand the search campaign “Heat pump advice”

    Search advertising

    Effect
    Medium
    Effort
    Low
    Risk
    Medium

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Marketing Operators

Specialists for every channel – with clear permissions.

Every Marketing Operator specialises in one area. You decide what it may do on its own and what it has to ask about.

Marketing Operators · Active operators

Example scenario
  • Search

    Currently: Search campaign “Heat pump advice”

    May do on its own: Adjust bids within the budget cap

    Asks first about: new campaigns

  • Content

    Currently: Draft of the guide on costs and subsidies

    May do on its own: Create and revise drafts

    Asks first about: every publication

  • Local

    Currently: Google Business Profile

    May do on its own: Keep opening hours up to date

    Asks first about: new photos and texts

  • Website

    Currently: Section “Heat pump advice”

    May do on its own: Test wording variations

    Asks first about: new pages

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Autonomous Execution

Acting on its own – with a check before every step.

Autonomous Execution carries out approved actions. Before every step, Upper OS checks permission, budget cap and approval rule – and stops if something is not right.

Autonomous Execution · Execution

Example scenario

Adjust bids of the search campaign “Heat pump advice”

Executing

Checked before execution

  • Permission for the ad account granted
  • Within the monthly budget cap
  • Autonomy level allows acting on its own

Log

  1. 09:12 Bids adjusted for three search terms
  2. 09:12 Change logged with its reasoning
  3. 09:13 Measurement of the effect started

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Autonomy & Approvals

You decide how independently Upper OS works.

For every type of action you decide: only propose, execute after approval or act on its own. On top come roles and hard budget caps.

Autonomy & Approvals · Autonomy rules

Example scenario
Bids within the budget cap On its own –
Publishing content After approval Marketing
New ad campaign After approval Management
Budget increase Propose Management

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Marketing Command Center

Decide with all the information at a glance.

Every approval comes with reasoning, expected effect, effort, budget and risk. You decide in seconds – or adjust the proposal.

Marketing Command Center · Approval

Example scenario

Complete the Google Business Profile

Awaiting approval

Reasoning

A complete profile with services, photos and opening hours helps you get found in local searches and builds trust.

Expected effect
More visibility in Google Maps
Effort
Low
Budget
No ad budget needed
Risk
Low – can be changed at any time

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Performance & Verification

Only what has been checked counts as a result.

Performance & Verification measures the contribution to the goal and checks the measurement itself: reported enquiries are matched against your customer database before they count as a result.

Performance & Verification · Verification of enquiries

Example scenario

12

Reported

9

Verified

3

Excluded

  • Spam 2
  • Duplicate enquiry 1

Matched against your customer database

Example scenario: Fictional company and illustrative figures – no real customer or product data.

Learning Engine

Results turn into better decisions.

The Learning Engine checks whether an assumption held true and records the insight. The next decision builds on it.

Learning Engine · Insight

Example scenario
  1. Assumption

    Ads that emphasise personal consultation lead to more qualified enquiries.

  2. Verified result

    The consultation-focused ads brought more qualified enquiries than the previous texts.

  3. Insight

    Personal consultation is a decisive argument for this target group.

  4. Adjustment

    Consultation is now emphasised more in the guide and on the website as well.

Example scenario: Fictional company and illustrative figures – no real customer or product data.

02 Architecture principles

What the platform is built on.

Six principles shape how Upper OS thinks and acts – regardless of industry and channel.

  • 01

    One shared knowledge

    Every building block works with the same understanding of your business. Nothing is captured twice or gets lost.

  • 02

    Goal before channel

    Every decision is measured by what it contributes to your goal – not by the metrics of individual channels.

  • 03

    Approvals are part of the system

    You decide what Upper OS may do on its own. Everything else waits for your consent.

  • 04

    Every decision explained

    For every recommendation and every action, it is clear why it happens.

  • 05

    Open to your systems

    Upper OS connects to your website, shop, ad accounts and customer database instead of replacing them.

  • 06

    Learning only from verified results

    Only results whose measurement has been checked are fed into the knowledge model.