work
After being acquired, Courier Media became Mailchimp-Intuit's Small Business Intelligence unit. It grew from one email to 8,000 start-up members, to three emails weekly reaching 1.6 million Mailchimp customers.
Existing CRM systems couldn't analyse this vast data and Intuit’s technical development team couldn’t undertake a full rebuild.
Courier's leaders saw the need for new methods to understand differences between Mailchimp add-on readers and specific Courier subscribers.
Reporting results segmented by behavioural cohorts improved editorial and senior management decision-making, database cleaning, growth prediction, and reduced unsubscription rates.
We optimised customer data analytics with a robust tech stack and UTM tracking refining to support data-driven decisions for all staffing levels.
Revenue: deep analysis of 500k loyal customers (with 20% higher engagement) shaped media sales, marketing strategy, and product development.
Shared intelligence: beyond improving data governance and dispatch processes, we demonstrated and taught the advantages of data-driven decisions to create a collaborative, innovative, and respectful company culture.
Operations: enhanced campaign effectiveness, increasing subscriber engagement by a further 20% and growing to 2 million weekly subscribers.
data techniques:
analysis, creative solution design, engineering
situation:
what we did:
the change:
sector:
Publishing
focus:
Audience discovery
project:
Intuit Mailchimp
The healthcare supply market underwent significant changes due to COVID. Global policies shifted, procurement volumes fluctuated, and the need for rapid improvements in supply chain management led to structural change to businesses plans.
We wanted to find a credible, sustainable point of difference, but we don't understand our competition as well as we used to.
To stand out, we had to look beyond existing strategies, carefully analyze business activities and investment priorities, and understand their impact on market competition.
Using our capabilities to gather and analyze large amounts of text data, we captured the real strategic shifts in the healthcare market, beyond what was claimed.
We conducted an extensive investigation of a competitor set of 20 healthcare industry multinationals, with a combined revenue of $6,293 billion.
This text-data analysis covered 100+ documents, approximately 2.5 million words from 8 distinct data sources, including sanctioned investor publications, third-party sources, and consumer/user-facing communications.
The advanced mapping improved visibility and interpretability of emerging market trends; identifying four previously uncharted peer groups and exposing key themes.
Having faster and more insightful information available changed the company’s approach to strategic planning.
It shortened the time between in-depth analysis and extended their impact into actionable go-to-market activity.
data techniques:
engineering, information design flow, text-based analytics
situation:
what we did:
the change:
sector:
Healthcare
focus:
Sector analysis
project:
Medical Disposables
Maintaining the UK government's financial commitment to international aid, despite pressure from the Treasury, relied upon increased public support.
However, there was a lack of clarity regarding the identity of potential advocates.
Over 5 years, policy advisors studied public opinion and their findings were shared with over 100 Bond-connected charities to shape their strategies.
The study gathered data on attitudes but this didn't explain why people held those views.
We enriched existing (SSIS) qualitative data with consumer insights, media-consumption, and geo-economic data (ONS) and other third-party sources.
Understanding their daily lives bought their beliefs to life.
This output eliminated distracting and ambiguous assumptions from stakeholder conversations.
Introducing Open Source data transformed understanding, shaped market testing and validation throughout the network.
Stakeholders across 400 global development and aid organisations reassessed and repositioned their long-term communication, partnership, parliamentary engagement, and fundraising contact strategies.
data techniques:
engineering, text-based analytics.
situation:
what we did:
the change:
sector:
International Development & Humanitarian
focus:
Sector analysis
project:
Bond/Gates Foundation
Adidas opened-up all their social media performance metrics and asked partner agencies to incorporate them in their annual campaign evaluation.
A niche agency wanted to use this data to validate their influence and find improvements to secure funding and guide next year's creative direction.
This content had little media investment and promotion, so direct comparisons with promoted posts didn’t reflect its success and clouded campaign learnings.
Analysing Adidas’s complete social media performance revealed that 10% of posts generated over 90% of audience engagement, primarily due to high-profile promotions.
Benchmarks were developed to evaluate performance, including Adidas90 (excluding top 10% posts), channel averages, and industry averages.
Additionally, a value-for-money metric was created to compare content effectiveness per channel based on production budget.
Secured increased investment in creative and data-reporting.
Demonstrating different themes and content styles performed differently across channels, made strategic decisions clearer.
Boosted data confidence and inspired bold choices in next year's plan.
data techniques:
enrichment, knowledge sharing
situation:
what we did:
the change:
sector:
Lifestyle & Fitness
focus:
Social Media Evaluation
project:
Adidas Women
A major trauma healthcare provider’s service performance metrics declined, and management consultants were hired to propose system improvements.
Clinicians knew the rise in theatre reassignments and infections was due to more complex and severe injuries resulting from a fundamental change in service capabilities but struggled to explain this to non-experts.
They said, “we can't explain our successful methods because the details are hidden in the data.”
After analysing the time series, we used domain expertise to enrich data discovery.
Cases were clustered by injury velocity, revealing that cases with poor performance had complicated, open injuries.
These often required longer hospital stays, quicker surgery, and more repeated procedures.
This data flow and patient treatment pathway overlay improved communication between clinical and hospital management teams.
This body of evidence catalysed a working session, resulting in a redesign of theatre planning and the allocation of ring-fenced day case resources.
This resulted in improved service performance measures. The experience enhanced inter-departmental collaboration and communication among all parties.
The analysis was shared with other Trusts to show the impact of improved data accessibility for non-clinicians on service design