Connect Growth OS
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Founding Design Partner Programme

Help build the decision engine
for marketing spend

Connect Growth OS is being built to help marketing leaders move beyond reporting and understand what is actually driving revenue, where spend is being wasted and where the next pound should be invested.

Become a design partner → How it works
Model Intelligence · Attribution Transparency
Connect Growth OS model intelligence dashboard comparing attribution models by channel
Shapley + MarkovTransparent multi-model attribution
Online + offlineTV, OOH and radio alongside digital
Marginal ROASSaturation and diminishing returns
AI analystAsk the evidence in plain English
Why we are working with founding design partners

The production models need to be developed and validated against real-world marketing behaviour. That means working with selected partners and their actual marketing spend, performance and revenue data, rather than building the system around theoretical assumptions.

The measurement gap

Most businesses run campaigns.
The best run growth systems.

Reliable cross-channel comparison data is the number one limitation on optimising spend allocation.

73%say measurement uncertainty has hit their ability to justify spend to leadership
17%are very satisfied with their media attribution approach
50%
Use closed-loop measurement from ad exposure through to purchase
34%
Held back by fragmented Frankenstack environments and integration issues
33%
Use 6 to 15 different tools to measure ROI
32%
Measure ROI holistically across digital and traditional channels
30%
Have a clearly defined view of what marketing ROI means

This is the gap Growth OS is built to close: one comparable view of spend, channel and revenue.

Sources: Mastercard 2026, NIQ 2026, Nielsen 2025, McKinsey 2025, CMO Council 2026
The platform

What Connect Growth OS is being built to do

01

Model true marketing contribution

Shapley attribution, Markov path analysis and complementary statistical methods.

02

Find where the next pound works hardest

Measure marginal ROAS, diminishing returns and channel saturation to identify where additional spend can create the greatest return.

03

Connect online and offline to revenue

Link digital and offline activity to pipeline, sales and revenue outcomes where the available data supports it.

04

Ask the evidence in plain English

Use AI to interrogate the modelling outputs, explain the evidence and turn complex analysis into actionable decisions.

05

Plan, allocate and optimise

Support budget allocation, scenario planning and future optimisation as the production platform develops.

AI Analyst
AI Analyst with prompts such as what drove revenue this week and where should we cut budget
Ask what drove revenue, where to cut and where to scale
Offline Media Integration
Offline media integration showing TV, OOH and radio campaign uplift
TV, OOH and radio measured alongside digital
The partnership

What founding design partners receive

Early access

Priority access to the platform and new modelling, AI and optimisation capabilities as they are released.

Direct influence

Input into dashboards, workflows, integrations, modelling outputs and the product roadmap.

Founding terms

Preferential commercial terms for participating partners, agreed before wider commercial launch.

Priority support

Direct access to the founding and technical team during onboarding, model development and feedback cycles.

“

The commitment is deliberately light. The objective is not to create a large consulting project. It is to learn from genuine marketing activity, validate the models and make sure the product solves real decisions for real marketing teams.

How the partnership works

The data we would work with

The exact data set will depend on the partner's systems and use cases. We would normally look to work with an agreed historical period of marketing and commercial data, potentially including:

  • Marketing spend by channel, campaign and time period, including paid digital and relevant offline media.
  • Impressions, clicks, leads, conversions and other channel performance metrics where available.
  • CRM or sales outcomes such as opportunities, bookings, purchases, pipeline and revenue.
  • Customer journey or touchpoint data where available and appropriate.
  • Contextual factors that may materially affect performance, such as promotions, seasonality or major campaign changes.
Purpose of the data

To develop, calibrate and validate the Connect Growth OS measurement and optimisation models, test whether outputs reflect observed commercial outcomes and improve the reliability and usefulness of recommendations.

Data principles

Your data stays your data

Ownership

Partner data remains the partner's data. Participation does not transfer ownership of underlying marketing, customer or commercial data to Connect Growth OS.

Proportionate access

Access is limited to the data agreed for the programme and should be proportionate to the modelling use case.

Anonymised learning

Any cross-partner learning used to improve the product should be anonymised and/or aggregated so that another partner cannot identify the source organisation or its confidential performance data.

Minimised personal data

Personal data should be minimised wherever possible. Appropriate confidentiality, security and data-processing terms can be documented before data is transferred or connected.

Approval first

Any use of a partner's name, logo, results or case study material would require separate approval.

Indicative engagement

Four steps, light touch

A structured but proportionate process designed around your team's time, your data and the decisions that matter most to you.

1
30 to 60 mins

Discovery

Understand the marketing stack, measurement challenges, available data and priority decisions.

2
Setup

Data setup

Agree the minimum useful data set, historical period and secure transfer or integration method.

3
Analysis

Model validation

Run agreed analysis, compare outputs with known business outcomes and identify where the models need refinement.

4
30 to 45 mins, periodic

Feedback cycle

Reviews to assess usefulness, prioritise improvements and shape the roadmap.

Real-Time Attribution
Real-Time Attribution
7D14D30D90DAll brands ▾Export plan↓ Sync now
⚠
£18,240 wasted spend in Display0.8× ROAS, the only loss-making channel. Contributes <1% of assisted conversions.
−£18,240/mo
View detailApply to plan
↗
Reallocating £12K → Paid Search adds +£38KPaid Search at 5.9× ROAS has the highest marginal return in your mix. Budget is available from the Display cut.
+£38K/mo
View recsApply to plan
✉
Email Win-Back delivering 12× ROASYour most efficient paid channel. Can scale 3× before deliverability is impacted.
+£28K potential
View campaignScale now
▲
Organic Search up +34% vs prior weekLikely competitor went offline. Brand search spike detected. Window to capture position.
+£8K this week
View detailNote in plan
What changed · last 7D vs prior 7D● High confidence · 284K events
Revenue£71K+£12K (+17%)
Pipeline£284K+£86K vs prior
CAC£42+£3 above target
ROAS4.7×+0.6× vs prior
Wasted spend£18KAction required
Real-time attribution: wasted spend, reallocation opportunities and channel wins surfaced as they happen
What happens next

Start with a short discovery session

If there is a mutual fit, the next step is a short discovery session. We will then confirm the proposed use case, required data, expected participation and any commercial or data-processing terms before onboarding begins.

  • Places are limited to a small group of founding partners
  • No large consulting project, just genuine marketing activity
  • Terms and data processing agreed before any data moves

Andy Ashley · Co-Founder & CMO
andy@connecthq.info

Founding Design Partner

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