The cohort problem: why training providers outgrow their CRM before they outgrow their market
8 September 2026
CRMs are evolving fast.
What used to be a passive system of record is becoming an active system of action. For sales, service, and marketing leaders, that shift demands a new mindset. The starting point is data engineering.
Start with enrichment and extensibility
Modern platforms like HubSpot are designed to be extended.
By integrating data tooling such as Surfe or Clay, teams can enrich core object data automatically. Contacts, companies and deals become more than static records. They become living profiles that reflect real-world context.
This enrichment is the best foundation for marketing campaign, sales outreach, and customer service success. AI, automation and personalisation all depend on clean, enriched data at the object level.
Activate data agents for contextual intelligence
Once your data foundation is strong, the next step is activation.
Data agents can research the web, monitor signals and pull in relevant information about accounts and prospects. Industry trends, funding announcements, technology changes and hiring patterns can all be surfaced automatically.
This creates a powerful contextual layer. When prospecting tools or automation workflows initiate outreach, they are informed by what actually matters to the customer. Messages feel relevant because they are.
Engineer a fast feedback loop
The real opportunity in 2026 lies in iteration.
With LLMs, teams can analyse patterns and trends at breakneck speed, such as:
What context generates the most meetings?
Which pain points resonate in your market?
Where do deals stall and why?
What used to take analysts days or weeks can now be done in minutes or hours. Successful leaders will build loops that test, learn and refine continuously.
Data flows in. AI extracts insight. Teams adjust messaging, targeting and workflows. The loop repeats.
This is where enterprise AI delivers real ROI.
Deep customer understanding becomes the advantage
Ultimately, data engineering is not about technology. It is about understanding customers more deeply than your competitors.
When your CRM is enriched, contextual and actively learning, your customer-facing activity becomes sharper. Outreach becomes more relevant. Conversations start at a higher level. Relationships strengthen faster.
For GTM leaders, 2026 is the year to stop treating data as an afterthought and start treating it as a strategic asset. The organisations that do will move faster, learn quicker and win more consistently. Data needs to be the foundation of your revenue operations – if you’re unsure where to get started, learn more about our revenue operations consulting services.
