Disconnected records
Lead, contact, account, and campaign data live in separate systems without dependable relationships between them.
B2B marketing operations · CRM integration
Ask three systems who a lead belongs to and you'll often get three different answers. The CRM says one owner, the marketing platform another, and the reconciliation spreadsheet says neither is right.
Stratskye maps the data your systems need to share, defines who owns each value, builds and tests the connection inside approved platforms, and documents how it is monitored once live.

The service
CRM integration services plan, configure, test, and document agreed data flows between your CRM and marketing or operational systems. Scope can cover contacts, leads, accounts, opportunities, campaign responses, consent fields, lifecycle stages, activities, and ownership data.
The signed scope names systems, objects, fields, direction, frequency, source-of-truth rules, transformations, and exception handling. Your team supplies access, system owners, definitions, security review, samples, and acceptance testing.
Quick decision
The build starts with your business process, selected records, source-of-truth rules, and a practical acceptance plan.
Where data breaks
A record that looks correct in one place and wrong in another usually traces back to a recurring gap in definitions, mapping, identity, timing, or ownership.
Lead, contact, account, and campaign data live in separate systems without dependable relationships between them.
Marketing and sales use different meanings for lifecycle stage, qualified lead, source, or owner.
A change reaches the next system too late, or never returns to the system where it is needed.
Formats, picklists, identifiers, and required values do not match, dropping or distorting data during sync.
Unmatched people and accounts fragment activity histories and reporting.
Errors have no useful alert, retry path, exception queue, or owner watching them.
A field, connector, workflow, or permission changes without review of its dependencies.
What you receive
The exact systems, objects, fields, environments, review rounds, and support period are confirmed in your proposal.
Defines systems, business process, use cases, record populations, owners, constraints, and acceptance criteria.
Shows how selected records and events move today and how the approved integration should work.
Documents source and destination fields, identifiers, direction, transformations, defaults, and validation rules.
Defines which system owns each value and how conflicting or stale updates are handled.
Implements the approved connector, middleware, API, or webhook scope within agreed permissions.
Records normal, boundary, failure, retry, duplicate, permission, and volume tests as applicable.
Defines rollout, alerts, exception handling, recovery responsibility, and launch acceptance.
Provides configuration records, operating guidance, change notes, and agreed support responsibilities.
Fit check

Why Stratskye
The connection serves qualification, campaign, lifecycle, ownership, and reporting decisions your team actually makes.
Objects, fields, source-of-truth rules, and acceptance criteria are agreed before configuration begins.
Identifiers, required fields, transformations, duplicates, consent, and failure paths are reviewed as part of design.
Normal and exception paths are tested, with named owners for monitoring, changes, and incident response.
A cadence, timeline, and support model are confirmed for the specific engagement.
The process
We agree business rules before configuration so the connection reflects decisions your team has actually made.
Identify systems, business process, current flow, record populations, risks, owners, and intended outcome. A full CRM audit is scoped separately.
Approve objects, fields, identifiers, direction, timing, transformations, source-of-truth rules, permissions, and acceptance criteria.
Select a feasible connection pattern and define dependencies, errors, monitoring, retries, duplicates, and recovery rules.
Build in the agreed environment and test normal paths, edge cases, failures, permissions, transformations, and representative volume.
Complete business and technical acceptance, confirm treatment of current records, phase rollout, and activate alerts.
Review errors and data-quality signals, resolve scoped defects, document configuration, train owners, and confirm support limits.
Measurement
Before measuring improvement, we agree the eligible record population, baseline, observation window, and data owner. Delivery, timeliness, data quality, and exception handling each matter.
Business use is assessed where tracking supports it. A synchronized lead is not automatically a qualified lead, and human follow-up remains separate from technical delivery.
Engagement scope
Scope follows requirements and technical validation. The number of systems alone does not show the work involved in mapping, identity, transformations, error handling, and testing.
System count, native connectors, middleware, APIs, webhooks, authentication, and edition limits.
Record types, field count, one-way or bidirectional flow, identifiers, relationships, and source-of-truth rules.
Value conversions, conditional mappings, enrichment, routing dependencies, and conflict handling.
Historical and ongoing volume, duplicates, missing values, cleanup dependencies, and current-record treatment.
Sandboxes, permissions, rate limits, security review, edge cases, load expectations, and acceptance rounds.
Alerting, exception queues, reporting, training, handover depth, support period, and change requests.
Subscriptions, middleware fees, custom application development, migrations, large-scale cleansing, CRM redesign, and indefinite administration are separate unless specifically included.
FAQ
Requirements gathering, field and object mapping, integration design, approved configuration, testing, launch coordination, documentation, and scoped monitoring. Exact systems, objects, and fields are confirmed in the signed scope.
Feasibility depends on your CRM, other platforms, their editions, connectors, APIs, permissions, and security requirements. Supported tools are named after that review.
Yes, where feasible. Direction follows the business use case, source-of-truth rules, platform capabilities, and risk review.
Mapping covers identifiers, normalization, transformations, match rules, defaults, and a conflict policy. It reduces errors without promising perfect data.
Migration, bulk data cleansing, archival strategy, and major CRM redesign are separate unless the signed scope includes them.
Timing depends on discovery, technical validation, mapping, configuration, and review speed. A timeline is confirmed once discovery is complete.
Testing uses representative records, edge cases, failures, retries, and permissions before launch. Agreed alerts and monitoring track post-launch exceptions.
Authorized access, named owners, field definitions, sample records, security requirements, and reviewers for design, testing, and launch acceptance.
Documentation, a monitoring owner, support terms, connector ownership, and change approvals are defined in the handover.
Connect your systems
Important customer and campaign data should not depend on someone manually reconciling three systems that disagree.
A strategy call covers your current systems, the data flow you need, constraints, owners, and the most useful next step.
Book a Strategy Call