Reduce
Content Duplication
Time from Planning to Execution
Underperforming Spend
Increase
No-see HCP Engagement
Content Relevance by Segment
Channel Effectiveness
Understand
Which Elements Drive Prescribing Decisions
Marketing ROI by Content, Customer, and Channel
Next Best Content for Every HCP Segment
Tailor your Data Foundation to your target outcomes
The data foundations that make human-AI partnership work
Our framework connects content, customer, channel, and impact data into a single foundation that serves both your teams and your AI tools.
Four Pillars.
One Connected Foundation.
The Forge DC Data Foundation
Content
Know exactly which messages, themes, and formats drive HCP action, so you can do more of what works.
Connect every asset to your brand strategy. See which priorities are being supported, and which are being ignored.
Plan once, measure everything. Every asset inherits the context it needs for accurate attribution.
Tag what matters. Discover which themes, topics, and messages actually drive engagement.
Manage the mechanics. Ensure every asset is deployment-ready across channels.
Customer
See every HCP as a complete picture, not fragments scattered across systems.
Build a living record of every touchpoint. Know where each HCP is in their journey.
Understand their world. Target based on specialty, practice, and patient mix.
Invest where it counts. Quantify the value of every HCP relationship.
Let behaviour speak. Segment HCPs by what they do, not just who they are.
Understand what they believe. Attitudes predict behaviour better than demographics.
Channel
Orchestrate every touchpoint. Track what happens, measure what matters, optimise what works.
Speak the same language across teams. One taxonomy for all your channels.
Know who's doing what, where, with which systems, and at what cost.
Compare costs across channels, finally, an apples-to-apples view of efficiency.
Normalise the chaos. Compare email opens to rep visits to congress interactions, on the same scale.
Not all engagement is equal. A 2-second glance isn't the same as a 10-minute deep dive.
Impact
Prove what works. Measure ROI across content, channels, and customers, then invest accordingly.
Which content actually drives results? Stop guessing, start knowing.
Which channels deliver? Which combinations multiply impact? Finally, real answers.
Which HCPs are worth the investment? Segment ROI by attitude, behaviour, and value.
Look forward, not just back. Model what-ifs and optimise before you spend.
Start with what you already have
Your existing documents become the foundation for both your teams and your AI tools. The Content Intelligence Layer extracts, tags, and connects every asset to its strategy, budget, campaign, and channel.
The Content Intelligence Layer
Start with Content. Expand to Customer, Channel, and Impact.
What Content Data Foundations Unlock
The Problem
Most approved content sits unused because nobody can find it. Teams build new content assets instead of re-using what already works.
The Unlock
Every content asset gets labeled with its theme, message, and intended audience. Finding content for marketing re-use or rep calls becomes quick and easy.
80% of approved content is rarely or never used by field teams.
Veeva Pulse Field Trends Report, 2025
The Problem
You know which channels get clicks. You don’t know which messages, topics, or tones drive them, or for which audiences.
The Unlock
Layer content tags onto engagement data to see what resonates, with whom, and where.
2x prescribing likelihood when content experience is excellent.
DT Consulting CXQ® Study, 2024. 6,100 HCPs, 13 countries
The Problem
Content investments are made upstream with no connection to downstream performance. Once assets are deployed across campaigns and channels, you can't trace what you got back on that spend.
The Unlock
Connect strategic markers, financial data, and activity data with content attributes to see which messages, themes, and topics are driving the highest return on your investment.
10–20% marketing efficiency gains from analytics-enabled optimisation.
McKinsey, ‘Demystifying the omnichannel commercial model’, 2022
01 Content Discoverability & Re-use
Find what works. Use it again.
02 Content Performance Insights
See What Resonates. Know Why.
03 Content Discoverability & Re-use
Find what works. Use it again.
What Content Data Foundations Unlock
The Problem
Most approved content sits unused because nobody can find it. Teams build new content assets instead of re-using what already works.
The Unlock
Every content asset gets labeled with its theme, message, and intended audience. Finding content for marketing re-use or rep calls becomes quick and easy.
80% of approved content is rarely or never used by field teams.
Veeva Pulse Field Trends Report, 2025
01 Content Discoverability & Re-use
Find what works. Use it again.
The Problem
You know which channels get clicks. You don’t know which messages, topics, or tones drive them, or for which audiences.
The Unlock
Layer content tags onto engagement data to see what resonates, with whom, and where.
2x prescribing likelihood when content experience is excellent.
DT Consulting CXQ® Study, 2024. 6,100 HCPs, 13 countries
02 Content Performance Insights
See What Resonates. Know Why.
The Problem
Content investments are made upstream with no connection to downstream performance. Once assets are deployed across campaigns and channels, you can't trace what you got back on that spend.
The Unlock
Connect strategic markers, financial data, and activity data with content attributes to see which messages, themes, and topics are driving the highest return on your investment.
10–20% marketing efficiency gains from analytics-enabled optimisation.
McKinsey, ‘Demystifying the omnichannel commercial model’, 2022
03 Content Discoverability & Re-use
Find what works. Use it again.
Taxonomy Harmonisation & Automated Tagging for a Global Pharmaceutical Client
A global pharma team had thousands of content assets stored across multiple platforms with inconsistent tagging and low coverage. We built a harmonised taxonomy and automated tagging engine on their existing infrastructure - delivering zero-touch tagging with full compliance linkage.
Case Study
The Challenge
A global pharma team had thousands of content assets stored across multiple platforms. Each platform had its own taxonomy, tagging was inconsistent, and coverage was low. There was no clear picture of what content was available for re-use, limited visibility into content performance, and no meaningful view of ROI on content investments.
What We Built
Rather than waiting for a DAM, we worked with what already existed. We defined a harmonised taxonomy across all channels, then configured an automated tagging engine on the client's own infrastructure - pulling content directly from channel repositories and connecting each asset back to its approval record in Veeva Vault. The engine also extracted key metadata from Brand Plans, linking every content asset to its Brand Objectives, Strategic Imperatives, Tactics, and KPIs.
The Results
7 platforms harmonised into one consistent taxonomy
Zero-touch tagging operational, leveraging the client's existing infrastructure
Compliance linkage preserved, every tagged asset traced back to its MLR approval record
High confidence level achieved, with justification provided for each tagging decision to support auditability and human-in-the-loop validation
We’re hands-on experts dedicated to achieving real impact for your business.
Explore how Forge DC helps pharma teams build data foundations that drive real outcomes.
Why Work With Us?
Pharma-Native Expertise
We know the industry from inside and out.
Practical by Design
We deliver working systems, not 200-page decks.
Pragmatic Progress
We prioritise manageable change over disruptive overhauls.
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