Challenge

CBR operates at lead volumes that most B2B teams never have to think about. As a B2B media and content syndication company, incoming leads are not a trickle — they are a constant, high-volume flow from multiple syndication sources, each arriving with varying levels of data completeness, formatting consistency, and quality. At 10,000 leads per day, every step in the lead onboarding process — fetching, validation, deduplication, enrichment, and CRM loading — had to happen quickly and reliably or the entire downstream GTM motion broke down. The problem was that none of those steps were automated in a unified way. Data cleaning and standardization were largely manual, which meant delays in routing and follow-up were baked into the process. The Ops team was spending the majority of its time in reactive mode, addressing data quality issues rather than building the scalable infrastructure the business needed. At the volume CBR operates at, manual processes are not just inefficient — they are a ceiling on what the business can do.

Solution

CBR deployed Openprise to build a fully automated end-to-end lead onboarding pipeline. The architecture was straightforward in concept and powerful in execution: incoming leads from content syndication sources are fetched automatically, then passed through a sequential Openprise workflow that handles validation, deduplication, enrichment, and CRM loading — all in near real time. Each step in the pipeline applies consistent logic to every record, regardless of which source it came from or what format it arrived in. The result is a pipeline that processes leads at scale without any manual touchpoints between the initial fetch and the final CRM load.

The key to the pipeline's performance is the orchestration layer Openprise provides. Rather than managing separate tools for validation, a different tool for deduplication, and another for enrichment, CBR runs the entire sequence through a single Openprise workflow. Logic is built once, maintained in one place, and applied consistently across 10,000 records a day. When a step in the process needs to be updated — a new enrichment vendor added, a deduplication rule refined — the change is made in Openprise and immediately reflected across the full pipeline. The Ops team went from spending their time reacting to data quality incidents to managing and improving a system that largely runs itself.

Impact

The most direct measure of what the Openprise pipeline delivers is volume and speed. CBR now processes 3 million+ leads per year — 10,000 per day — in near real time. From the moment a lead arrives from a syndication source to the moment it is validated, deduplicated, enriched, and loaded into the CRM, the process is fully automated. Speed-to-lead, which had previously been measured in days due to manual processing delays, is now measured in minutes. Every lead that enters the pipeline exits it as a clean, consistent, CRM-ready record.

Data quality is consistent across the full lead volume in a way that was not possible with manual processing. Validation logic catches bad records before they reach the CRM. Deduplication rules prevent the same lead from being loaded multiple times from different syndication sources. Enrichment fills the gaps in whatever data the original source provided. The result is a CRM that reflects a clean, accurate picture of incoming demand — not a backlog of leads that need to be cleaned before they can be acted on.

The longer-term impact is on the Ops team itself. A team that was previously consumed by reactive data work — chasing errors, reconciling records, manually loading files — now operates proactively. They own a pipeline that handles the volume automatically, which means their time is spent on building, refining, and extending automation rather than administering it. At the scale CBR operates, that shift in how the Ops team spends its time is as significant as any individual process improvement.