My Take – 3
Here is a table comparing agencies of today with Progency.
| Dimension | Traditional Agencies Today | Progency: The AI-First Agency |
| Core Focus | Acquisition and creative campaigns | Retention and customer lifetime value |
| Primary Value Proposition | Creative ideas and media buying | Measurable business outcomes and eliminated AdWaste |
| Customer Segmentation | Demographic and behavioural | BRTN (Best, Rest, Test, Next) engagement-based |
| Technology Approach | Uses third-party tools | Owns proprietary martech platforms |
| AI Implementation | Bolt-on features and point solutions | AI-native with multi-agent orchestration |
| Team Structure | Large, specialised departments | Lean strategic teams with AI “Department of One” |
| Compensation Model | Time-based billing, commissions, retainers | Performance-based with revenue sharing |
| Platform Relationship | Dependent on Google/Meta for targeting | Independent alternative to adtech platforms |
| Media Strategy | Paid media dominance (80-90% of budgets) | Owned and earned media prioritisation |
| Personalisation Capability | Basic segmentation | True N=1 through AI Twins |
| Creative Process | Human ideation and production | AI-augmented with human strategic direction |
| Client Relationship | Project-based or annual contracts | Long-term performance-based partnerships |
| Measurement Focus | Campaign metrics (impressions, clicks) | Business results (LTV, retention rates) |
| Data Approach | Fragmented, often third-party | Unified first-party and zero-party data |
| Customer Journey Management | Channel-specific campaigns | Seamless cross-channel orchestration |
| Operational Philosophy | Campaign-driven | Continuous optimisation (Kaizen) |
| AdWaste Approach | Accepts reacquisition as normal | Systematically eliminates reacquisition need |
| Ethical AI Framework | Limited or reactive | Built-in governance and transparency |
| Core Service Components | Creative, Media, Strategy | NeoN, NeoMails, Neo360 |
| Organisational Agility | Hierarchical and process-heavy | Adaptive and outcome-focused |
This comparison highlights how Progency represents not just an evolution of the traditional agency model but a fundamental reimagining of marketing services for the AI era—emphasising retention over acquisition, outcomes over inputs, and relationships over transactions.
Brand Transformation
| Traditional Agencies | In-House Teams with Martech | Progency Transformation |
| Consumables-based pricing (time and materials) | Subscription-based martech costs | Performance-based pricing tied to actual results |
| No revenue ownership or accountability | Limited accountability for ROI | Brand’s success = Progency’s success |
| Just another vendor among many | Another internal cost center | True growth partner with aligned incentives |
| Low stickiness; easily replaced | Tool-dependency without expertise | High stickiness through integrated outcomes |
| Brand needs a marketing army | Brand struggles with martech complexity | Marketing army optimised with AI orchestration |
| Campaign-based thinking | Project-based implementation | Continuous customer lifecycle management |
| Creative-centric with limited data | Data-rich but insight-poor | Intelligence-driven creativity at scale |
| Siloed channel expertise | Fragmented martech stack | Seamless cross-channel orchestration |
| Excessive client management layers | Technical debt and integration issues | Streamlined “Department of One” efficiency |
| Platform-dependent targeting | Limited 1st-party data usage | Owned audience targeting through NeoN |
| Limited measurement beyond campaign metrics | Basic attribution models | Closed-loop revenue impact measurement |
| AdWaste accepted as normal cost | AdWaste recognised but unsolved | Systematic AdWaste elimination |
| Generic messaging to broad segments | Basic segmentation capabilities | True N=1 personalisation through AI Twins |
| Episodic customer engagement | Inconsistent customer journeys | Daily customer hotlines via NeoMails |
| Acquisition obsession at expense of retention | Balanced focus but limited effectiveness | Retention-first approach with BRTN framework |
| 70% of budget wasted on reacquisition | 50-60% of budget wasted on reacquisition | Budget optimisation through owned channels |
| 90-day planning cycles | Quarterly roadmaps | Real-time optimisation through AI agents |
| Expertise spread across multiple vendors | Expertise limited by talent constraints | Comprehensive expertise through Neo360 |
| Declining margins; industry consolidation | Rising costs with questionable returns | New profit centre for sustainable growth |
| Struggling to adapt to privacy changes | Cookie-dependent strategies | Future-proof authenticated identity solutions |
The Progency model fundamentally transforms the brand’s marketing from either a scattered agency approach or an overwhelmed in-house operation into a cohesive, AI-powered growth engine focused on maximising customer lifetime value while eliminating the massive waste inherent in traditional approaches.
Conclusion: The Path Forward
For agency leaders looking to evolve toward this model, the Progency path forward includes:
- Shift focus from acquisition to retention: Reorient strategies and capabilities around maximising customer lifetime value rather than driving new acquisition
- Build or acquire proprietary martech: Develop owned technology assets rather than reselling or implementing third-party tools
- Invest in AI agent capabilities: Build autonomous marketing systems that can execute complex tasks at scale
- Transform compensation models: Move from time-based or project-based billing to performance-based pricing tied to business outcomes
- Specialise in specific customer segments: Focus on solving the unique challenges of Best, Rest, or Test customers rather than attempting to be all things to all clients
The agencies that successfully make this transformation will not merely survive the industry’s disruption—they’ll lead it, helping brands eliminate the massive waste of AdWaste while building more valuable, sustainable customer relationships. In doing so, they’ll reclaim the strategic importance that agencies have gradually lost to adtech platforms and consultancies, becoming true growth partners rather than mere service providers.
Progency isn’t just a better version of today’s model—it’s a fundamental reimagining of the agency’s role in the marketing ecosystem. By focusing on retention over acquisition, outcomes over inputs, and relationships over transactions, it offers a compelling alternative to the consolidation-as-defence strategy currently dominating industry headlines.
As we enter the era of NeoMarketing—the third major epoch following Traditional Marketing (1950s-1990s) and Modern Marketing (2000s-2020s)—Progency represents the ideal implementation partner. While NeoMarketing provides the philosophical framework for transforming marketing from a cost centre into a profit engine, Progency delivers the operational blueprint. Together, they create a pathway for brands to escape the $500 billion AdWaste trap and build sustainable, profitable customer relationships that drive genuine business growth.
