PRGRSGROUP

02 What we do

Consultative marketing & operations

The engine beneath the strategy. Optimising the touchpoints, the data flows and the tooling so that every interaction adds to the relationship rather than spending it.

Sound familiar?

  • Your customer data is spread across systems that do not talk to each other, and nobody trusts the reporting.
  • Acquisition costs keep climbing while retention quietly slides.
  • Content production has become the bottleneck, and adding people has not fixed it.
  • You have bought MarTech that nobody uses, and you are being asked to buy AI tools next.
  • You need someone to assess AI platforms from a marketer's point of view rather than a vendor's.

The work

Where the relationship is actually won or lost.

Strategy sets the direction. These are the systems that decide whether it survives contact with the customer.

01

Relationship marketing & lifecycle strategy

Optimising customer touchpoints, loyalty ecosystems and engagement pathways to maximise lifetime value. We map the lifecycle as the customer experiences it, not as the org chart describes it, and then fix the moments that quietly cost you the relationship.

Typically: lifecycle and journey mapping, retention and loyalty design, engagement pathway rebuilds, and lifetime value modelling.

02

Marketing operations & technology integration

Looking across the whole organisation to build a modern marketing function, with an AI-led operational mindset and tools that build human strength. We lean on how we solve problems inside our own product lab, so recommendations come with proven practice and real learning behind them.

Typically: operating model, AI integration, data requirements and flow, and measurement you can defend.

03

AI tool exploration & comparison

Marketer-led evaluations of AI platforms, ensuring technology choices directly enhance customer experiences. The assessment is grounded in what the tools do to your customer relationships and your team's capacity — not in feature matrices.

Typically: structured tool evaluation against your use cases, pilot design, build-versus-buy analysis, and a recommendation with the trade-offs stated.

How it runs

Diagnose, prove, then scale.

We would rather prove a change on one journey than redesign everything on a theory.

  1. Conversation

    What is not working, what you have already tried, and what constraints are genuinely fixed.

  2. Diagnostic

    A read of the lifecycle, the stack and the operating rhythm — including time with the people who use the systems daily.

  3. A proving ground

    One journey, one segment or one workflow rebuilt properly, with measurement agreed in advance.

  4. Scale and hand over

    Rolled out with your team, documented in playbooks they own, so the capability stays when we leave.

Where to next

Marketing engine not delivering?

Tell us where it breaks down. We will give you an honest read on what is worth fixing first.

Start a conversation