Building a 360-Degree View of the Customer in HubSpot CRM
Connecting Data, Processes, and Systems

Marketing spots a new lead. Sales is already aware of the ongoing opportunity. There’s an open ticket in Customer Service. And in the ERP system, the company has long been listed as a customer with an active contract.

Every department has information. Yet the shared context is missing.

A 360-degree customer view is designed to solve exactly this problem. It connects the relevant information from marketing, sales, service, revenue operations, and other enterprise systems. This allows your teams to make decisions based on a shared and reliable data foundation.

The key limitation: A complete customer view doesn’t emerge automatically just because your company uses HubSpot CRM.

You need a suitable data model, clearly defined responsibilities, controlled data flows, and a shared understanding of what information your teams actually need. Only when data, processes, systems, and people work together effectively can individual customer data be transformed into a usable, comprehensive view.

What is a 360-degree customer view in HubSpot?

A 360-degree customer view in HubSpot is an interconnected, reliable representation of all relevant information about a contact or company that can be used by different roles.

This may include, for example:

• Master and contact data
• Associated companies, locations, and contacts
• Roles within the buying center
• Marketing interactions
• Website activities
• Sales activities and open deals
• Quotes and contracts
• Invoices and payments
• Subscriptions and renewals
• Purchased Products or Services
• Support requests
• Communication Preferences and Consents
• Product usage
• Revenue and customer potential

A 360-degree view of the customer does not mean that every piece of available information must be stored unfiltered in a single contact record.

What matters is that the necessary data is structured and linked together and available within the relevant work context.

HubSpot now refers to its platform as the Customer Platform. It comprises the Marketing Hub, Sales Hub, Service Hub, Content Hub, Data Hub, and Revenue Hub. The Smart CRM serves as the common data foundation that connects these various areas.

Whether this results in a customer view that’s truly useful for your company, however, depends on the specific design and implementation.

The Most Important Points at a Glance

• A 360-degree customer view is not a single dashboard, but rather the result of a well-thought-out data and process architecture.
• Not every piece of information needs to be stored directly in HubSpot. However, for each data area, it must be clearly defined which system is the primary source.
• The data model should be developed before data is migrated or systems are integrated.
• Data quality, responsibilities, and governance are not one-time tasks.
• Only a reliable data foundation enables robust reports, meaningful automation, and the successful use of AI.
• The specific benefits must be clear to marketing, sales, service, management, revenue operations, and IT, respectively.

Why Companies Need a Unified View of the Customer

Fragmented customer data is rarely just a technical problem. It directly impacts communication with customers, team collaboration, and the quality of decisions.

Marketing can target leads and customers more effectively

Marketing needs more than just form submissions and email clicks. For meaningful segmentation, the team needs to know, for example:

• Is the person already a customer?
• Which products or services does the company use?
• Is there currently an open opportunity?
• What topics and content have been relevant so far?
• Does the company fit the Ideal Customer Profile?
• Which contacts within the account are already known?
• Is a contract renewal coming up?
• Are there any current service issues?

If this information is available, target audiences can be segmented more precisely, marketing automation can be used effectively, and campaigns can be better tailored to the respective phase of the customer journey.

At the same time, it becomes clear which marketing activities actually contribute to qualified leads, opportunities, customers, and revenue.

The sales team receives the necessary context

Sales representatives shouldn’t have to search for information across multiple systems before a meeting.

In a well-structured customer view, they can see, for example:

• what content a contact has engaged with,
• which conversations have already taken place,
• which people are involved in the decision-making process,
• what offers are available,
• which products have already been purchased,
• which contracts are in place,
• whether there are any outstanding invoices or renewals,
• and whether there are currently any service issues.

Sales reporting and forecasting also benefit from a consistent data foundation.

A forecast isn’t reliable just because it’s generated by a forecasting tool. What matters most are correctly maintained deal stages, realistic closing dates, clear responsibilities, and complete assignments.

Service and Customer Success teams can better support customers

The service team should be able to identify which products a customer uses, which contracts are in place, who is involved within the company, and what communication has taken place so far.

This way, customers don’t have to explain their situation all over again every time there’s a handoff.

Customer Success can also identify early on:

• which contracts need to be renewed,
• whether product usage is declining,
• whether service issues are recurring,
• which customers need additional support,
• and where opportunities for cross-selling or upselling arise.

Revenue Operations integrates customer and revenue information

Revenue Operations looks not only at individual deals, but at the entire revenue process.

This includes, among other things:

• Pipeline and Forecast
• Quotes
• Contracts
• Invoicing
• Payments
• Recurring Revenue
• Contract Changes
• Renewals
• Existing Customer Development

With Revenue Hub, these processes can be more closely integrated with existing CRM data. Revenue Hub supports the revenue process from the initial sale through billing and payments to renewals and further revenue growth. This includes, among other things, features for quotes, invoices, payments, contract management, and revenue reporting. The exact scope of features depends on the edition used, the licenses purchased, and the configuration.

Management gains a reliable basis for decision-making

For management, the focus is not on individual CRM metrics. What matters are questions such as:

• How is the pipeline developing?
• How reliable is the forecast?
• Which marketing activities contribute to opportunities and revenue?
• How is recurring revenue performing?
• Which contracts are up for renewal?
• Which customer groups are particularly profitable?
• Where are there friction points between teams?
• Which customers have growth or churn potential?
• Can we trust the available figures?

A shared customer database reduces conflicting analyses and lays the groundwork for consistent key performance indicators.

IT and Operations retain control over the system landscape

A 360-degree view of the customer must not result in HubSpot becoming yet another uncontrolled data silo.

IT and operations managers therefore need clear answers:

• Which system stores which data?
• What information is synchronized?
• How are data records uniquely mapped?
• What happens when values conflict?
• How are errors in integrations detected?
• Who is authorized to view and edit which data?
• How are data protection and consent handled?
• Who will be responsible for ongoing operations?

These questions need to be addressed at the start of the project, not just right before go-live.

Seven Steps to a 360-Degree Customer View in HubSpot

1. Start with thedecisions, not the data

The first question isn’t: “What data can we transfer to HubSpot?”

The more important question is: Which decisions and processes should be improved through the unified customer view?

Possible use cases include:

• Prioritizing leads based on their company and behavior
• Better align marketing and sales
• Targeting existing customers for further development
• Creating more reliable sales forecasts
• Handling service requests with complete customer context
• Identify contract renewals in a timely manner
• Analyze customer groups by revenue, usage, or potential
• Trigger personalized communication
• Map the buying center of a target account
• Make quote-to-cash processes more transparent
• Better manage recurring revenue and risks

Prioritize these use cases. Not every conceivable piece of information holds the same value for your company.

A feature shouldn’t exist in HubSpot simply because it’s technically possible. It should serve a specific purpose for a process, a decision, an automation, or a report.

2. Identify all relevant data sources

The next step is to create an overview of the systems in which customer information is stored or generated.

With Revenue Hub, companies can connect key revenue processes directly to their existing CRM data. Depending on the edition and configuration, this includes, among other things, quotes, contracts, invoices, subscriptions, payments, renewals, and revenue reporting.

However, this does not mean that Revenue Hub should automatically be the leading system for all revenue and financial data in every system landscape.

If your company continues to use an ERP, finance, contract, or billing system, you must clearly define which data is stored in which system and which information is synchronized with HubSpot.

When conducting your inventory, therefore, don’t just document what data is available. Also note:

• how reliable the data is,
• how frequently it is updated,
• which identifiers can be used to map it,
• who is responsible for it,
• and in which processes it is used.

Properly Categorizing Website and Email Activities

Website activities can provide valuable context. However, HubSpot uses browser cookies for website tracking.

Visitors are initially tracked anonymously. For example, previous page views can be attributed to a contact if the person fills out a HubSpot form and the necessary tracking and cookie requirements are met. If cookies are not accepted, are deleted, or are blocked, attribution is limited accordingly.

Email opens are also not an absolutely reliable indicator of interest. They are tracked, among other things, via a tracking pixel. Image blockers and privacy settings in the email client being used can affect whether an open is recorded.

A good customer view therefore evaluates not only what data is available, but also how reliable it is.

3. Define the primary source for each data area

Establishing HubSpot as the central working platform does not automatically mean that HubSpot must be the primary system for every piece of information.

In a typical system landscape, the breakdown might look like this, for example:

• HubSpot manages lifecycle statuses, marketing interactions, sales activities, and the relationships between contacts, companies, and deals.
• Sales Hub supports the sales team with the pipeline, activities, deal management, and forecasting.
• Revenue Hub manages—depending on the edition used and the selected process—quotes, contracts, invoices, subscriptions, payments, and renewals.
• An ERP or finance system remains the primary source for orders, accounting, open items, or other finance-related data.
• A product platform manages usage, licensing, or consumption data.
• A booking or e-commerce system manages reservations, orders, and availability.
• HubSpot provides selected information from these systems within a shared customer context.

The optimal configuration depends on your business model and your existing system landscape.

Some companies can map a large portion of their quote-to-cash process in the Revenue Hub. Others connect the Revenue Hub to an ERP, finance, or billing system that continues to manage specific data areas.

What matters isn’t that all information is stored in a single system. What matters is that for every relevant data field, there is a single source, a clear synchronization direction, and a defined responsibility.

Therefore, determine:

1. Which system is the primary source?
2. Which systems are authorized to modify the value?
3. In which direction are changes propagated?
4. What happens in the event of a data conflict?
5. How quickly must the information be updated?
6. Who is responsible for errors and corrections?

Without these rules, bidirectional synchronization can exacerbate existing problems. Different values overwrite each other, outdated information is restored, or duplicate data records are created.

A single source of truth is therefore not necessarily a single storage location. Above all, it is the result of clearly defined data accountability.

4. Develop a suitable HubSpot data model

The data model determines whether information can later be linked, automated, and analyzed in a meaningful way.

HubSpot uses objects to map customers, relationships, and business processes in a structured way. These include, among others, contacts, companies, deals, tickets, activities, and products.

With Revenue Hub, additional relevant data records are added to the revenue process, such as quotes, contracts, invoices, subscriptions, and payments.

These records can be linked together. For example, a deal can first lead to a quote and then to a contract, which in turn forms the basis for billing, payments, changes, and renewals.

HubSpot describes the contract record as the central source for committed revenue. Contracts can be linked to quotes and other records in the revenue process. Revenue Hub Professional or Enterprise, as well as certain corresponding licenses, are required for this.

Which objects your company actually needs depends on its own business processes.

Not every revenue process needs to be fully implemented in HubSpot. If your company continues to use an ERP, contract management, or billing system, the HubSpot data model should be structured so that the relevant external information is clearly mapped and available within the correct customer context.

Using Standard Objects Correctly

For many B2B companies, four objects initially form the foundation:

• Contacts represent individual people.
• Companies represent accounts or organizations.
• Deals represent specific sales opportunities or sales processes.
• Tickets document service and support cases.

However, a single person is not always “the customer.”

Especially in a B2B environment, contacts, companies, deals, locations, contracts, and other business objects must be meaningfully linked to one another.

Describe relationships unambiguously

Associations represent the relationships between data records.

For example, a contact may:

• be employed by a company,
• be involved in a deal as a decision-maker,
• have opened a specific ticket,
• be assigned to a branch,
• be the contact person for a contract,
• or serve as the billing contact.

Association labels help describe these relationships more precisely.

Without clear associations, reports may miscount records or exclude important information.

Use custom objects only when there is a genuine business need

Not every piece of information should be stored as an additional property of a contact or company.

If a piece of information recurs multiple times or has its own relationships and processes, creating a separate object may be appropriate.

Possible examples include:

• Locations
• Equipment or machines
• Trips or bookings
• Memberships
• Partners
• Licenses
• Projects
• Events
• Custom Service or Product Objects

Custom objects are currently available in Enterprise editions. They should be used when a company-specific dataset or process cannot be adequately mapped using the existing standard objects.

Before creating a custom object, however, you should check whether HubSpot now provides a suitable standard object. This applies in particular to revenue processes, which may now be mapped using objects and features in the Revenue Hub.

Plan for Unique Identifiers

For integrations and migrations, you need values that can reliably identify records.

Typical identifiers include:

• Email address
• Company domain
• Customer number
• Contract number
• ERP ID
• Invoice number
• Product or License ID
• External record ID

Email addresses and domains are often insufficient for complex data models.

Additional unique IDs are required, especially in corporate structures, when dealing with multiple locations, personal email addresses, shared domains, or changing points of contact.

5. Choose the Right Integration Approach

Not every connection between two systems requires custom development. At the same time, not every complex requirement can be reliably addressed with a standard integration.

Standard Integrations and HubSpot Data Synchronization

HubSpot offers data synchronization for supported applications.

Depending on the app and object, data can:

• from a third-party system to HubSpot,
• from HubSpot to a third-party system,
• or in both directions.

According to HubSpot, once the initial synchronization is complete, changes are typically synchronized within ten minutes. This is therefore not necessarily real-time synchronization down to the second.

For many processes, this level of timeliness is sufficient. For time-sensitive workflows, however, it’s important to assess more carefully what level of delay is acceptable.

Custom API Integration

A custom integration may be necessary if:

• there is no suitable standard integration available,
• data needs to be transformed before transmission,
• complex relationships need to be mapped,
• multiple systems are involved,
• there are specific security requirements,
• large amounts of data are being processed,
• custom error handling is required,
• or a business process is managed across multiple systems.

Technical integration involves more than just transferring fields.

A robust integration strategy also includes:

• Authentication and authorizations
• Mapping and transformation
• Synchronization direction
• Identifiers and matching
• Error Logging
• Retry Logic
• Monitoring
• Test Cases
• Documentation
• Operational Responsibility

Do not copy all information in its entirety

In some cases, it is sufficient to provide selected information in HubSpot.

For example, the sales team may need the current contract status, the annual contract value, and the renewal date, but not every single accounting line item from the ERP.

The service team needs an overview of the products that have been booked, but not necessarily all technical usage data.

Good integration doesn’t transfer as much data as possible. It provides the right teams with the necessary context.

6. Ensure data quality over the long term

A 360-degree view of the customer is only as reliable as the underlying data.

Typical quality issues include:

• duplicate contacts or companies
• missing mappings
• inconsistent spellings
• outdated responsibilities
• Conflicting lifecycle phases
• Missing required information
• Incorrectly linked deals
• Undocumented properties
• Uncontrolled free-text fields
• Orphaned workflows
• Faulty integrations
• Inconsistent contract or revenue information

Avoid duplicates and clean them up in a controlled manner

HubSpot generally deduplicates contacts based on their email address and companies based on their domain name.

Record IDs and custom fields with unique values can be used, for example, during imports to update existing records in a targeted manner and avoid further duplicates.

However, automatic detection is no substitute for a clear data strategy.

Even two technically distinct data sets can represent the same organization from a business perspective—for example, a parent company and a branch. Conversely, multiple companies can use the same domain, even though they must be treated separately.

Define Standards for Attributes

Define the following for important information:

• unique field names,
• clear descriptions,
• allowed values,
• required fields,
• validation rules,
• responsible teams,
• the primary data source,
• and the respective intended use.

Use structured selection fields if information is to be segmented, automated, or analyzed later.

Free-text fields are suitable for individual notes, but rarely serve as a good basis for reporting or workflows.

Automate data maintenance

Automation can help with this:

• Assigning responsibilities,
• requesting missing information,
• standardize data formats,
• updating lifecycle phases,
• trigger follow-up tasks,
• submit outdated data records for review,
• or notify responsible parties of integration errors.

However, automations only work reliably if the underlying rules and data are unambiguous.

A workflow cannot replace a business decision that has not been defined in advance.

Define Responsibilities

Data quality requires clearly defined data owners.

For example:

• Marketing may be responsible for lead sources, campaign attributions, and consent,
• Sales may be responsible for deal phases, amounts, and closing dates,
• Customer Service for ticket information,
• Revenue Operations can be responsible for definitions, reporting, and revenue processes,
• Finance for accounting-related data,
• and IT for interfaces, security, and technical operations.

These responsibilities should not exist only on paper.

The responsible individuals need regular overviews of errors, missing values, and problematic data flows.

7. Make the customer perspective accessible to every team

A technically complete database is of little use if employees cannot find relevant information quickly or do not use the system consistently.

Role-Based Data Set Views

Not every role requires the same information.

Based on a shared data structure, different teams can view the information relevant to them:

Marketing

• Lifecycle Phase
• Lead Source
• Campaign Interactions
• Interests
• Consents
• ICP Classification
• Previous Conversions

Sales

• Open Deals
• Buying Center Roles
• Sales Activities
• Quotes
• Next Steps
• Customer Potential
• Current Service Issues

Service and Customer Success

• Products Purchased
• Active Contracts
• Renewal Dates
• Product Usage
• Open and Closed Tickets
• Satisfaction
• Responsible contacts

Revenue Operations and Finance

• Contract Values
• Recurring revenue
• Invoices
• Payments
• Renewals
• Revenue trends
• Data quality
• Discrepancies Between Systems

IT and Operations

• External IDs
• Data sources
• Integration Status
• Permissions
• Synchronization information
• Technical Responsibilities

All teams work with the same database but see only the portion relevant to their task.

Structure HubSpot dashboards based on decisions

A dashboard shouldn’t contain as many metrics as possible. It should answer a specific management question.

Marketing Dashboard

• Which channels generate qualified leads?
• Which target audiences are turning into opportunities?
• Which campaigns influence the pipeline and revenue?
• Where are leads lost in the process?
• Which existing customers respond to specific content?

Sales Dashboard

• How is the pipeline developing?
• Which deals require attention?
• How reliable are the closing dates and deal amounts?
• How quickly are qualified leads being processed?
• Which customer groups have growth potential?
• How robust is the forecast?

Service and Customer Success Dashboard

• How are ticket volumes and resolution times trending?
• Which customers are repeatedly reporting issues?
• Which contracts are up for renewal?
• Where is product usage declining?
• Which customers pose increased risks?

Revenue Dashboard

• How are new and recurring revenues trending?
• Which offers are accepted or rejected?
• Which contracts are up for renewal?
• What are the amounts of booked, billed, and paid revenue?
• Where are there outstanding or failed payments?
• Which existing customers have further revenue potential?

Management Dashboard

• How are the pipeline, revenue, and customer base performing?
• Which segments are particularly profitable?
• How do marketing, sales, service, and revenue operations work together?
• What data or process issues are hindering management control?
• What risks and growth opportunities are apparent?

Depending on the edition used, the custom report designer allows you to analyze multiple data sources and activities. The selection of the primary data source and the existing relationships between the data sets determine which information is included in the report.

A dashboard therefore cannot fix an inadequate data model; it merely highlights its weaknesses.

Real-world example: How zeit ag used HubSpot to break down data silos

The HubSpot project at zeit ag demonstrates how a 360-degree view of the customer can be achieved in practice.

Before implementing HubSpot, the Swiss software company worked with several separate systems. Marketing used its own platform, sales used a different tool, support ran on Zendesk, and accounting was handled through Navision.

As a result, customer data was scattered across different systems, data transfers caused inconsistencies, and it was nearly impossible to get a complete view of leads, existing customers, and service requests.

A Gradual Transition to the Centralized HubSpot Platform

Together with konzepthaus, zeit ag gradually implemented HubSpot as its central platform.

The sales team was the first to adopt the system. Today, new leads are systematically qualified and routed to different deal pipelines based on customer type and sales process. Automated tasks, reminders, and notifications support employees in their day-to-day work.

Subsequently, the marketing processes were integrated into HubSpot. As a result, newsletters, social media channels, landing pages, and automated communication processes are directly linked to the existing CRM data.

In the next step, Zendesk was replaced by the Service Hub. Since then, service requests have been able to be centrally recorded, processed, and linked to existing customer information.

ERP data available directly within the customer context

A crucial step toward achieving a 360-degree view of the customer was the integration of Navision.

Customer master data, billing information, and license data are synchronized between Navision and HubSpot via a bidirectional interface. As a result, the ERP data relevant to sales and service is available directly within the company record in HubSpot.

Employees no longer have to switch between different systems to get a complete overview. At the same time, Navision remains integrated into the existing system architecture.

The project thus demonstrates a key principle of the 360-degree customer view: Not all data needs to be generated exclusively in HubSpot. What matters is that the relevant information from the participating systems is clearly linked and available in the correct work context.

Measurable improvements in day-to-day work

The new platform is actively used by more than 90 percent of employees. Automated tasks and reminders have reduced administrative workload by about 30 percent.

More than 50 custom-developed reports provide transparency into sales figures, marketing campaigns, and service metrics. By linking all customer interactions—from the initial lead to the service request—zeit ag has gained a true 360-degree view of its customers.

The project also demonstrates that technical integration alone is not enough. A step-by-step approach, clearly defined processes, and the early involvement of employees were crucial.

Read the full zeit ag case study

Common Mistakes When Building a 360-Degree View of the Customer

1. Viewing HubSpot as a ready-made 360-degree solution
   
   HubSpot provides many important building blocks. However, without a data model, integration rules, data cleansing, and coordinated processes, a reliable, unified view of the customer cannot be achieved.

2. Transferringas much data as possible
   
   More data does not automatically mean more insights. Unnecessary information increases complexity, maintenance effort, and the risk of errors.
3. Plan the data model and associations only after migration
   
   Those who transfer existing table structures to HubSpot without verification often merely shift existing problems to a new system.
4. Failing to designate master systems
   
   Without clear data ownership, values can overwrite each other or diverge across different systems.
5. Failure to clearly separate the Revenue Hub and ERP
   
   The Revenue Hub can map key revenue processes directly within HubSpot. Nevertheless, it must be clarified which tasks HubSpot handles and which tasks are handled by an integrated ERP or finance system.
   Without this distinction, conflicting contract, invoice, or payment data will arise.
6. Developing dashboards before addressing the underlying questions
   
   A good dashboard starts with a decision, not with an available chart type.
7. Involving IT and data protection too late
   
   Integrations, permissions, consents, data flows, and operational responsibility must be considered from the very beginning.
8. Focusing Only on the Technical Implementation
   
   A customer-centric approach only works when employees understand
   

• how to maintain data,

• where to find information,

• which definitions apply,

• and what concrete benefits the new structure brings them.

Roadmap for Your Customer 360 Initiative

Phase 1: Define Goals and Use Cases

Determine which processes, decisions, and metrics need to be improved. Prioritize a few specific use cases that will deliver tangible benefits to your teams.

Phase 2: Analyze Systems and Data

Record:

• Data Sources
• Data quality
• Responsibilities
• Identifiers
• Existing Integrations
• Permissions
• Relevant Data Protection Requirements

Phase 3: Develop the Target Architecture and Data Model

Define:

• Objects
• Properties
• Relationships
• Leading Systems
• Synchronization Directions
• Access Rights
• Data Controllers

During this phase, also clarify which revenue processes will be mapped in the Revenue Hub and which will continue to be mapped in ERP, finance, or billing systems.

Phase 4: Clean Up Data and Prepare for Migration

Remove duplicates, standardize values, add identifiers, and develop verifiable migration rules. Also, determine which historical data is truly needed.

Phase 5: Implement Integrations and Processes

Implement the prioritized connections. When doing so, test not only standard cases, but also:

• missing values,
• duplicate records,
• mismatched IDs,
• modified contracts,
• canceled transactions,
• incorrect payments,
• and systems that are temporarily unavailable.

Set up monitoring and a traceable error-handling process.

Phase 6: Build views, automations, and reports

Design role-based data set views, workflows, and HubSpot dashboards based on the previously defined use cases. Avoid reports for which there are no clear definitions or reliable data.

Phase 7: Empower Teams and Establish Governance

Document the solution, train the teams involved, and implement regular data and process audits. The structure should be designed in a way that is easy to understand so that your internal team can maintain and further develop it over the long term.

How far along is your company already?

These questions will provide an initial assessment:

1. Do your teams know which system is responsible for which customer data?
2. Can Marketing, Sales, and Service uniquely identify the same customer?
3. Are contacts, companies, deals, tickets, and contracts correctly linked to one another?
4. Can data sources be merged using unique IDs?
5. Are integration errors detected automatically?
6. Are reports across different departments based on the same definitions?
7. Are there designated individuals responsible for data quality and the data model?
8. Can employees find the necessary customer context without having to search manually?
9. Are permissions and consents regulated in a transparent manner?
10. Is it clear which tasks are handled by Revenue Hub and which by an ERP or finance system?
11. Can the internal team understand the structure and continue to develop it over the long term?
12. Do the existing dashboards provide concrete answers for marketing, sales, service, and management?

The more often the answer is “No,” the greater the risk that existing reports, automations, and AI functions are based on an incomplete or contradictory context.

Develop a 360-degree customer view with konzepthaus

A robust customer view is created through the integration of business processes, the data model, HubSpot configuration, and technical integration.

As a HubSpot Elite Solutions Partner, we help companies not only implement HubSpot but also develop it into a platform they can use for the long term.

Our areas of focus include, among others:

• the implementation and optimization of the HubSpot CRM,
• developing a suitable data and system architecture,
• data migrations,
• integrations with existing systems,
• custom HubSpot developments,
• mapping complex marketing, sales, service, and revenue processes,
• and the enablement of internal teams.

To achieve this, we first analyze what information your teams actually need and which systems are already in place.

We then develop a suitable target architecture, structure the HubSpot data model, and implement the necessary migrations and integrations.

In doing so, we ensure that:

• data flows remain transparent,
• standard features and custom developments work together effectively,
• Revenue Hub is properly integrated into the existing system landscape,
• the solution is well-documented and maintainable,
• and your team can continue to develop HubSpot independently over the long term.

Would you like to know how your existing data and systems can be used to create a reliable view of your customers?

Let’s review your HubSpot data architecture together.

Schedule a free consultation now

FAQ Frequently asked questions about the 360-degree customer view in HubSpot

• Does HubSpot automatically create a 360-degree view of the customer?

  HubSpot brings together a wide range of CRM data, activities and features on a single platform.
  
  However, a company-specific 360-degree view of the customer can only be achieved through a suitable data model, correctly linked data records, integrations, data quality and defined processes.

• Does all customer data have to be stored directly in HubSpot?

  No. A 360-degree view of the customer does not require all information to be stored exclusively in HubSpot.
  
  Revenue Hub can link key data from the revenue process directly to CRM data. Depending on the edition and configuration, this may include, for example, quotes, contracts, invoices, subscriptions, payments and renewals.
  
  ERP, finance, product, booking or billing systems can still remain the primary source for certain data.
  
  The key is to clearly define which system holds which information and what data marketing, sales, service, customer success and management teams require in HubSpot.
  
  HubSpot should provide the relevant customer and revenue context – not necessarily every single transaction or every technical detail from all connected systems.

• Which data sources should be integrated first?

  Start with the data required for your most important use cases.

  These often include:

  • Contacts

  • Companies

  • Marketing interactions

  • Deals

  • Tickets

  • Quotes

  • Contracts

  You can then add, for example, orders, invoices, payments, product usage, bookings or other specialist information.

  The order should be based on the specific benefits rather than on which integration is available the quickest.

• What role does Revenue Hub play in the 360-degree view of the customer?

  Revenue Hub links data and processes relating to quotes, contracts, invoicing, payments, renewals and revenue trends with existing CRM data.
  
  This enables Marketing, Sales, Customer Success, Revenue Operations and Finance to work within a shared customer and revenue context.
  
  Whether Revenue Hub acts as the lead system for this data or is integrated with an ERP, finance or billing system depends on the specific system architecture.

• Is Revenue Hub essential for every business?

  No. Whether Revenue Hub is required depends on which revenue processes your company wishes to map in HubSpot.
  
  Companies that wish to integrate quotes, contracts, invoices, subscriptions, payments or renewals more closely with their CRM processes should consider Revenue Hub.
  
  For simple sales processes or where billing is handled entirely within an ERP system, integrating selected data may be sufficient.

• Which HubSpot edition is required?

  Contacts, companies, deals, tickets and basic CRM features are available across the various HubSpot editions.
  
  However, features such as custom objects, advanced data quality, complex automations, certain reporting features and specific integration options are edition-dependent.
  
  Custom objects currently require the Enterprise edition.
  
  The advanced features of Revenue Hub for contract and end-to-end revenue management are available in particular in Revenue Hub Professional and Enterprise. Additional Revenue Hub licences are required for certain features.
  
  The appropriate licence should therefore be chosen based on the desired processes and use cases – not the other way round.

• How long does it take to build a 360-degree view of the customer?

  This depends on various factors:

  • Number of systems involved

  • Quality of the existing data

  • Complexity of the data model

  • Number of departments involved

  • Desired integrations

  • Scope of the migration

  • Internal availability

  • Data protection and governance requirements

  A sensible approach begins with prioritised use cases.

  The customer view is then expanded step by step. This allows initial processes to be used straight away, whilst additional data sources and business units are added in a controlled manner.

• How do I ensure data quality in HubSpot?

  Data quality requires a combination of prevention, monitoring and correction.

  Key measures include:

  • clear data responsibilities,

  • clearly defined attributes,

  • structured selection values,

  • unique IDs,

  • controlled imports,

  • rules for integrations,

  • regular duplicate checks,

  • automated quality controls,

  • documentation,

  • and regular audits.

  Data quality is not a one-off sub-project. It must be permanently embedded in work processes and responsibilities.

• How can success be measured?

  Suitable key performance indicators might include, for example:

  • Completeness of key data records

  • Number and trend of duplicates

  • Proportion of correctly linked contacts,  companies, deals, tickets and contracts
  • Reliability of the pipeline and forecast
  • Time spent on manual data maintenance
  • Speed of lead processing
  • Teams’ use of HubSpot
  • Quality of segmentations and reports
  • Processing time for service enquiries
  • Proportion of automated process steps
  • Transparency regarding contract renewals
  • Quality of revenue reporting
  • Consistency between CRM, contract and financial data

  The key performance indicators should contribute directly to the use cases and business objectives defined at the outset.