Why the customer record disagrees with itself
Sales updates the CRM after every call. Marketing sends campaigns from an automation platform. Support keeps its own history in a helpdesk tool. Each team is doing its job, and the customer record is still wrong.
The symptoms are familiar. A forecast misses by a wide margin. A campaign lands with someone who bought last week. A renewal arrives with no warning. The CRM records the outcome of a communication failure that started somewhere else.
What siloed communication does to CRM ROI
Nucleus Research found that 80 percent of the potential benefits of CRM have yet to be achieved. According to Nucleus Research, 50 percent of the unrealized ROI sits in integration, extension and collaboration, with another 30 percent in sales management and instrumentation.
HubSpot found that only 23 percent of businesses report excellent data connectedness, and that disconnected systems were the top pain point, ahead of internal collaboration and trouble engaging buyers. The same HubSpot study links more point solutions to higher cost of ownership and more connection issues.
Revenue follows the same line. Validity surveyed 1,241 CRM users, and 44 percent estimated their company loses over 10 percent of annual revenue to poor quality CRM data. The same Validity research found that 75 percent said duplicate or inadequate outreach caused by poor data quality loses them customers, and 50 percent said they lose new sales for the same reason.
Forrester found for Salesforce that when all teams across an organization use a shared CRM, they are 14 percent more likely to provide exceptional customer experience.
Insightly reports that 36 percent of companies rating their customer experience as best in class reported a significant increase in revenue growth, compared with 14 percent of those delivering a less exceptional experience.
A Monday morning silo audit
Take one customer, then one field at a time. What you see usually points to one cause and one first move.
| What you see | What it usually means | First move |
|---|---|---|
| Sales and support show different renewal dates | No agreed system of record for that field | Name the owning system for each field |
| Forecasts miss by a wide margin | Deal context lives in chat and email, not in the CRM | Connect the messaging tool your team already uses to the CRM (54 percent have integrated their CRM with their messaging platforms, per the State of CRM and Messaging report) |
| A campaign reaches someone who bought last week | Sales and marketing build segments separately | Rebuild both segments from one shared definition |
| Nobody can say who owns data quality | Ownership gap | Assign a named owner and one monthly metric (users rating their data poor were 450 percent more likely to report nobody responsible, according to Validity) |
| Support history is invisible to sales | No shared customer identifier | Agree on one identifier across the stack |
Where this approach fails, and what it costs
Better plumbing does not change behaviour inside the pipes. Validity found that 75 percent of respondents said staff fabricate data at least sometimes to tell the story decision makers want to hear, with 33 percent saying it happens often. No single source of truth survives incentives that reward a clean-looking pipeline.
Consolidation also costs before it pays. HubSpot links more point solutions to higher spending on maintenance, management and the people who run them, and cutting that number is slow work. Validity found that 64 percent of CRM users would consider leaving their role if no additional resources went to data quality. Losing those people costs more than most governance projects.
Our own lesson is narrower. In more than 20 years of CRM and data work from Barcelona, the integrations that hold are the ones with a named business owner, even when intelligent systems do most of the writing. Data Innovation builds and operates these systems, and the co-evolution of team habits and tooling decides whether the ROI arrives. Data quality improves before revenue does.
If your teams work in separate tools
Start with ownership. Decide which system owns which field, then decide how everything else reads from it. Our work on CRM and CDP data interoperability and CDP data governance covers both halves of that question.
If your situation looks like the table above, we can help. Tell us how your stack is set up and we will map where the silos are costing you.