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Reasons why companies look for a Data Export Service replacement

dataexp reasons 1

End of official support for Microsoft Data Export Service*

dataexp reasons 2

Cost of alternative solution on Azure Synapse Analytics

dataexp reasons 3

The need to change the architecture of current solutions

dataexp reasons 4

Migration of accumulated large volumes of data

*Microsoft announced the end of support for the Data Export Service in November 2022. Full text of the announcement

You need the solution if:

Submit a request
ac 1
You have used DES before and are now looking for a replacement
ac 2
Your business needs to sync data from Dataverse to SQL Database
ac 3
You have tight deadlines for implementing and migrating data
ac 4
You work with volumes of data from... to…TB
Benefits

Implement quickly, simply and without critical restrictions

dataexp advantages 1

Requires no architecture changes

when migrating from Microsoft's DES
dataexp advantages 2

Fast implementation

and affordable solution cost
dataexp advantages 3

Replicate any amount of data

from Microsoft Dataverse to SQL Database
dataexp advantages 4

High speed data replication

across Dataverse
dataexp advantages 5

Ability to adjust the frequency

of updating data in the source
dataexp advantages 6

Keeping data up-to-date

with the lowest possible delay
Capabilities

Manage data according to your business goals

cap img
capability 1
Set up your own data replication model, choosing only the tables and fields you need, the data from which you need to synchronize in SQL Database. The necessary structures in the database are created automatically
capability 3
Manage data synchronization profiles: the ability to set up several different profiles that can replicate data to different databases
capability 2
Manage and customize data synchronization according to business requirements: Enable/Disable Sync Profile allows you to manage the overall sync status
capability 4
Set up the frequency of data replication from Dataverse to SQL Database separately for each synchronization profile
SOLUTION ARHITECTURE

Change solutions without changing the usual business processes

SMART Data Export for Dataverse leverages the flexibility and scalability of the Azure infrastructure to strike a balance between performance and cost. The solution allows you to process a large amount of data from the source, as well as have a convenient interface for setting up data export profiles, including settings for synchronization frequency and data model.
architect img

Zero Preparation Migration Process

Implementing SMART Data Export for Dataverse does not require much preparation.

Implementation scenarios take into account several options:

  • solution implementation for those who previously used DES from Microsoft
  • implementation for new users who are just starting to develop their system products that require data export from Dataverse.

In both scenarios, SQL Database configuration remains on the client side.

If you have already used Microsoft’s DES, then the previous SQL Database can also be used for SMART Data Export for Dataverse, since the operation principle remains identical.

On startup, the update delta will be matched.

Why

SMART Data Export for Dataverse

Data Export Service (DES)

Ability to replicate data from Microsoft Dataverse to Azure SQL Storage in a customer's Microsoft Azure subscription

SMART Data Export  for Dataverse

Ensuring primary synchronization of all necessary data with continuous copying of delta changes at a rate of more than 5000 records per minute

SMART Data Export for Dataverse is designed with a familiar user interface and the functionality you need to meet your current needs.

Microsoft has announced that they are deprecating the Data Export Service (DES) add-on for Dynamics 365. A service that provided the ability to replicate data from Microsoft Dataverse to Azure SQL Database storage in a customer’s Microsoft Azure subscription.

FAQ

Use the experience of colleagues and experts to choose wisely

01
How to prepare for migration to SMART Data Export for Dataverse?

Migration to SMART Data Export for Dataverse does not require significant preparation, since the principle of operation remains identical to that used in Microsoft's DES.

02
How is data exported?

The data is exported according to the configured schedule. Only the delta of updated data is synchronized.

03
With what amount of data update in the source can SMART Data Export for Dataverse be used (from/to)? What is the correlation in implementation time for companies with different amounts of data?

SMART Data Export for Dataverse is capable of exporting up to 5,000,000 data updates per day. The amount of data does not affect the solution implementation time.

04
Is there a need to change the architecture when migrating to SMART Data Export for Dataverse? 

When migrating from Microsoft's DES to SMART Data Export for Dataverse, there is no need to change the architecture, since the solution operation is based on the same principle as Microsoft's DES.

05
Will the data be displayed in the same way or will something change?

Exporting data via SMART Data Export for Dataverse does not affect the principle of storing them in SQL DB, therefore nothing will change regarding SQL DB.

06
What is SMART Data Export for Dataverse built on? How is the solution implemented?

SMART Data Export for Dataverse uses only Azure resources. Almost all deployment and configuration work takes place in Azure.

07
How to check the status of data replication? What statistics can the user see?

The replication status is currently available in Azure App Insights, but we are constantly working on improving our solutions and have already planned to add statistics to the portal where the replication profile is configured.

08
Do I need to re-sync all data after implementing SMART Data Export for Dataverse?

At the beginning of the work, we will start replication at the point where DES from Microsoft left off.

09
How long does it take for data to get from Dataverse to SQL DB?

In SMART Data Export for Dataverse, you can configure the synchronization start schedule yourself. The data replication speed is 5000 updates per minute.

Blog

Articles and materials

10 min read
crm 1
What ERP and CRM integration is and how it works — a complete guide

CRM and ERP integration is a strategic step for modern enterprises, allowing them to combine two key technological pillars into a single, cohesive ecosystem. Where does the growing popularity of this solution stem from?

The main driver of change is the problem of scattered data and the resulting lack of seamless communication between different departments. As experts from Forbes highlight in the article GenAI For Distributors: How To Transform Enterprise Architecture (2025), maintaining isolated systems creates harmful information silos. These lead to data inconsistencies, slow down decision-making processes, and significantly limit a company’s operational flexibility.

Although sales support solutions and resource management systems perform different tasks on a daily basis, it is only after integration that these barriers can be removed, fully unlocking an organization’s potential. In this article, you will learn how CRM and ERP integration works in practice, what tangible benefits it brings to a company, and how to plan its successful implementation step by step.

What is ERP and CRM integration?

In the simplest terms, CRM and ERP integration is a coherent connection between tools that support sales and customer relationships (front-office) and the operational and financial backbone of a company (back-office). Its primary goal is full data synchronization and the automation of repetitive processes. As a result, barriers between departments disappear, and information reaches the places where it is needed — instantly and without distortion.

Instead of wasting time manually transferring information between systems, sales representatives always have it at hand — up-to-date, consistent, and ready to use. Technology takes over routine work so that people can focus on what they are irreplaceable at: communicating with customers. 

What does this look like in practice?

Imagine your sales representative is finalizing details with a key client and clicks “Approve” in a mobile CRM system. At the same time, the connected ERP system automatically checks the customer’s credit limit, reserves stock in the warehouse, generates a packing order, and sends a signal to accounting to issue an invoice. All of this happens automatically — without a single additional email or phone call.

This level of data unity brings three concrete benefits to the company:

  • Faster processes — supporting operational excellence.
  • Fewer errors — which inevitably occur during manual data transfer.
  • Real-time insights — providing management with a solid foundation for making accurate decisions.

As a result, the organization responds to market changes faster than competitors who are still drowning in scattered files and slow administrative processes.

CRM vs ERP — how do these systems differ?

To properly plan information flow, it is first necessary to understand how these two systems relate to each other. Although both solutions are designed to drive business growth, the difference between them comes down to their core foundations and primary purpose.

A CRM system (front-office) is the working environment of sales, marketing, and customer service teams. It is used to track interaction history, manage quotations, and run marketing campaigns. Its role is to automate repetitive tasks and save time for sales representatives, giving them space for what technology can never replace: building and maintaining customer relationships.

An ERP system (back-office), on the other hand, is the operational and financial backbone of the entire organization. It works behind the scenes, managing logistics, supply chains, production, as well as complex accounting and HR processes.

The difference between them can be summed up in one sentence: CRM maximizes revenue, while ERP ensures the company is able to properly handle that revenue — efficiently and without unnecessary costs.

System comparison: CRM vs ERP

CRMERP
Main goalAcquiring new customers and building long-term relationships with themSmooth execution of orders and smart cost management
Key usersSales teams, marketing, customer serviceLogistics, warehouse, accounting, production
Key featuresSales funnel tracking, fast quoting, access to full interaction historyInvoicing, inventory control, delivery and resource planning
Business roleDriving growth and increasing revenueProtecting profit margins and streamlining operations

Want to expand your knowledge about these systems? Read the articles:

Benefits of CRM and ERP integration

The benefits of combining both systems go far beyond simply improving IT infrastructure. As experts from Forbes emphasize in the article The Power Of Integrating CRM And ERP: Unlocking Business Potential, integrating these environments unlocks significant business potential. Sales teams gain real-time insight into a customer’s situation, seeing not only sales opportunities but also invoice status or open service requests. This helps sales representatives avoid inappropriate upselling attempts at moments when a customer is frustrated and waiting for a technical issue to be resolved. As a result, the organization makes faster and more accurate decisions based on a complete picture of the situation.

A complete customer view — a single source of truth

The concept of a single source of truth means that employees do not need to switch between multiple applications to gain a full view of a customer. Address details, commercial agreements, credit limits, and full service history — all of it is available in one place, within CRM, without searching across other systems.

Business process automation

Integration eliminates the need for manual data entry between systems. When a sales representative marks a deal as won, the ERP system automatically generates a warehouse order or a pro forma invoice, and the information is passed to accounting without any intervention. Technology takes over routine work — people handle everything else.

Better collaboration across departments

When operational teams can see sales forecasts, they can proactively plan purchasing and production. When sales teams are aware of delivery status and potential delays, they can realistically manage customer expectations. Information stops being the property of a single department — it becomes a shared resource for the entire organization.

What data is integrated between CRM and ERP

The decision to integrate both environments requires a precise definition of which information is critical for smooth business operations. The goal is not to copy everything, but to connect the touchpoints that truly eliminate administrative routine for the team. The most commonly synchronized data groups include:

  • Customer database: detailed information about companies and their key representatives.
  • Product offering: product catalogs with pricing, discount thresholds, and individual commercial terms.
  • Product availability: current and forecasted inventory levels, visible to sales teams in real time already at the quotation stage.
  • History and finance: a complete record of transactions, order fulfillment statuses, as well as visibility into issued invoices and potential overdue payments.
  • After-sales support: customer support history, including ongoing service tickets and complaint resolution statuses.

Ways to integrate CRM with ERP

There are different methods of data exchange, and the optimal choice depends on business scale and the systems already in use. In practice, three main approaches are most commonly used:

  • Native (built-in) integrations: ready-made connections offered within a single vendor’s ecosystem. They can usually be launched and configured quickly, without the need to involve a development team.
  • API-based integration: a flexible approach. Both systems’ interfaces exchange information in real time, operating according to rules tailored to your company’s processes.
  • Middleware solutions: intermediary software acting as a central communication hub. This approach is designed for complex IT environments where data flows need to be synchronized across multiple applications simultaneously.

How does CRM and ERP integration look? Step by step

Connecting two strategic platforms is much more than just installing software. It is a transformation in the way an entire organization works. That is why this process requires a solid methodology and the support of an experienced implementation team that will guide the company through each of the following stages.

Business process and needs analysis

Work always starts with identifying where exactly information bottlenecks occur. At this stage, the project’s precise goals are defined (e.g., reducing order processing time). The implementation team also verifies which departments will experience the biggest change and plans appropriate steps to properly prepare employees for the new tools.

Data mapping and logic design

Once the processes are clear, system architects design precise information flow scenarios. They define which system becomes the single source of truth for specific records and how frequently the information will be updated — which protects the organization from chaos and the risk of overwriting critical information.

Testing, launch, and stabilization

Before new mechanisms go live in production, experts test how the systems respond to peak loads. The rollout itself is divided into phases. After completion, the process transitions smoothly into environment stabilization and hands-on training for staff.

Role of the implementation partner

Self-integrating such complex environments carries significant operational risk. An experienced technology partner ensures that the project does not end with technical success alone, but above all achieves its business objectives. A well-implemented integration frees sales teams from administrative routine — and gives them time for what no system can replace: communication with customers.

Want to check which of your current processes can be automated, how much time your sales teams could regain, and how this will impact your company’s profitability? Book a free consultation with SMART business experts.

Request a consultation

Common mistakes and challenges in CRM and ERP integration

Project experience clearly shows that issues in such large-scale operations rarely stem from technological shortcomings alone. The biggest obstacles are usually organizational and process-related. The most common mistakes include:

  • Neglecting data quality: ignoring data hygiene is one of the most serious mistakes. Automatically transferring unstructured, historical, or duplicate records causes information chaos to spread across other operational areas of the company.
  • Lack of consistent business procedures: automation only delivers value when processes are clearly defined. For example, if discount policies are interpreted differently by management and sales teams, even the most advanced technology will not deliver the expected results.
  • Ignoring the end-user perspective: designing IT architecture purely based on theoretical assumptions, without consulting the people who use the system daily, is a significant risk. Such a mistake can substantially reduce adoption of the new solution across the organization.

How SMART business supports CRM and ERP integration

Planning an operational environment requires both extensive technological expertise and a practical business perspective. Based on this approach, SMART business provides comprehensive support for CRM and ERP integration in companies. As a trusted technology partner with many years of implementation experience, the company delivers stable solutions based on the Microsoft Dynamics 365 ecosystem, which serve as a secure foundation for digital transformation.

The company’s experts go beyond system configuration — they primarily design coherent data flow between departments, carefully analyzing the structure of each organization. A deep understanding of processes and a methodology based on best practices ensure that the integration of sales and operations translates into measurable value, providing organizations with long-term security and a competitive advantage.

The SMART business team is happy to analyze your current architecture and recommend the optimal, secure path for integrating key systems. Discover how system integration can unlock the full potential of your data.

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21 min read
B2B Customer Service: What It Is, Best Practices, and Examples

What Is B2B Customer Service?

B2B customer service is about managing customer experience across all stages of collaboration. In a business-to-business model, service resembles a long chess game, where every move affects the future: customer retention, contract renewal, and business expansion. Rarely is everything decided in a single interaction — there are usually multiple stakeholders involved, different expectations, and a clear business context that cannot be ignored. And if this system breaks down, the customer may start looking toward other players in the market.

Put simply, B2B customer service is everything that happens after the sale and helps the client realize real value from a product or service. But context is key here. In B2B, a company works not just with a “user,” but with another business that has its own goals, processes, constraints, and internal dynamics. Modern B2B service is about consistency — about the ability to retain context, transfer it across teams, and build interactions in a way that feels like a single, seamless experience for the client.

That’s why B2B service is always more than just support. It’s about understanding how the client actually uses your product, what tasks they are trying to accomplish, and where they might get stuck. Sometimes it’s about providing a quick response to a request. Other times, it’s about offering proactive guidance that helps prevent an issue before it arises. B2B service is often confused with technical support or customer success. In reality, it sits “above” both. Support resolves specific issues. Customer success helps achieve business outcomes. Service brings it all together into a unified system of interaction where the client does not experience gaps between teams.

B2B Customer Service: Best Practices and Strategy

A large-scale study by McKinsey, covering thousands of B2B respondents across different countries and industries, reveals a key pattern: customers no longer want to interact in just one format. About one-third expect in-person contact, another third prefer remote communication, and the remaining third opt for digital self-service. In other words, there is no longer a universal approach — companies need to operate effectively across multiple channels. 

Today’s B2B customer journey spans around a dozen interaction channels — twice as many as just a few years ago. And if these channels are not integrated, service starts to break down: customers are forced to repeat information, context gets lost, and the experience becomes fragmented. It’s no surprise that the quality of the digital experience has become critical. More than half of companies willing to switch vendors directly cite poor digital service as the main reason. Specifically, 54% say that the quality of the digital experience is a decisive factor in choosing another partner. Another 51% note that the lack of a unified view of the customer across channels is a major barrier to doing business.

At the same time, the approach to growth is also evolving. Companies that build service around data and enhance it with AI tools are 1.7 times more likely to increase their market share than those that do not. 

Flexible team operating models — where employees interact with customers from different locations — also deliver measurable results: such companies are more likely to achieve revenue growth of 10% or more.

All of this leads to a simple but important conclusion: modern B2B customer service cannot be built “manually” or on fragmented tools. As the number of channels grows, customer expectations rise, and interactions become more complex, companies need a system that holds all these pieces together.

This is where CRM systems come into play — creating a unified view of the customer, preserving the context of all interactions, and enabling teams to act in a coordinated way. As a result, service shifts from being reactive to becoming a driver of growth.

Why is B2B Customer Service So Important?

In B2B, the core value of a customer is not created at the moment of sale, but throughout the entire partnership — through renewals, expansion, and additional services.

That is why the cost of failure is significantly higher here. Losing one client can mean losing years of potential revenue. Conversely, high-quality service can turn a single customer into a stable source of growth. Strong B2B customer service directly affects several critical factors:

  • Customer retention — when clients consistently receive fast, clear, and relevant support, they are far less likely to consider switching vendors.
  • Contract renewals — in B2B, continued cooperation is always based on results. Does the service solve business challenges? Does it provide measurable value and justify the investment? This is why service plays a crucial role.
  • Account growth (upsell and cross-sell) — when trust and a positive service experience are in place, clients are much more open to expanding the partnership.

But there is another nuance that is often overlooked. In B2B, service shapes the entire customer experience and effectively becomes part of the product itself. From the client’s perspective, it does not matter whether a problem stems from the functionality or from the interaction with the team — they evaluate the experience as a whole.

This is why companies that still view service merely as a cost center are gradually losing to those that see it as a growth driver. Strong service builds loyalty, reduces churn, and creates opportunities for account expansion — all of which directly impact revenue.

And this brings us back to the importance of systems and processes. It is impossible to consistently deliver a high level of service if every interaction is built “from scratch.” Companies need a model with clear processes, defined responsibilities, and access to the full customer context.

That is why B2B customer service is gradually evolving from an “operational function” into a strategic advantage.

B2B vs B2C Customer Service — Key Differences

At first glance, service may seem universal: respond quickly, solve the issue, and keep the customer satisfied. But the difference between B2B and B2C lies in the very nature of the interaction.

In B2C, everything happens faster — though not necessarily more simply. The complexity follows a different logic: massive customer volumes (as in the BROCARD case, where communication involved millions of customers), high-speed interactions, omnichannel engagement, abandoned cart scenarios, returns, triggered communications, and personalized promotional campaigns. All of this must work seamlessly, often in real time. Every interaction has to be as smooth and convenient as possible to keep customers engaged and prevent revenue loss.

In B2B, the complexity is of a different kind. There are fewer customers, but each one resembles a separate project. Multiple stakeholders are involved, decisions take longer, and requests often go beyond standard scenarios and are directly tied to the client’s business processes. Here, depth of service, communication accuracy, and strategic planning matter most, because the cost of mistakes is high and impacts both sides.

To better illustrate the difference, here is a clearer comparison of the key distinctions:

Parameter B2C B2B 
Number of customers Large scale, millions simultaneously Small number, each account is important 
Type of complexity Scale and speed Depth and strategic context 
Interaction cycle Short, fast decision-making Long, involving multiple stakeholders 
Omnichannel experience High priority, seamless channel integration Also important, but personalization takes priority 
Risk of mistakes Significant at the operational and transactional level High, can impact retention, contracts, and account growth 
Personalization Automated, segmentation-based Deep personalization based on business context and account history 

Another important difference lies in the complexity of requests. In B2C, requests are often standard: delivery, returns, payment issues. In B2B, they may involve integrations, custom configurations, or direct impact on the client’s business processes. In these cases, simply “responding quickly” is no longer enough — teams need to understand the business context behind the request.

That is why approaches that work well in B2C often fail to deliver results in B2B. B2B requires deeper collaboration, richer context, and strong coordination across teams. 

B2B Customer Service: Best Practices and Strategy

High-quality B2B customer service is not a collection of good intentions and “case-by-case” reactions. It is a system — with clear rules, roles, processes, and an understanding of what is happening with the customer at every stage. Once this structure is missing, the classic scenario begins: someone responds quickly, someone forgets, context gets lost somewhere along the way, and the client ends up repeating the same information to different people. The entire experience starts to fall apart.

To avoid this, service must be built around several core principles.

Focus on proactive and consultative communication 

One of the biggest mistakes in B2B is operating purely in reactive mode: waiting for the client to reach out before taking action.

Strong customer service works differently. It:

  • anticipates potential issues
  • takes an interest in the client’s business goals
  • initiates regular check-ins
  • focuses on delivering outcomes for the client rather than simply closing tickets

The key here is understanding why the request appeared in the first place and how to prevent it from recurring. In essence, this is a shift from support toward a consultative role. 

Organize ticket workflows, priorities, and SLAs

For the client, service starts with a simple question: “Where should I reach out, and what happens next?” If there is no clear answer, uncertainty arises — even if the team itself is performing well.

That is why it is important to:

  1. provide a clear entry point (email, portal, or form)
  2. efine who is responsible for each type of request
  3. establish priority levels and escalation rules
  4. clearly define SLAs: when the client can expect the first response and final resolution

And all of these rules should be transparent to the client.

Build self-service and a knowledge base

Not every request requires manager involvement — and that is perfectly normal. Strong B2B service always includes a self-service layer:

  • Help center — a single access point for all support materials: articles, guides, answers to common questions, and convenient search functionality.
  • FAQ — concise answers to the most common customer questions, allowing users to resolve basic issues without contacting support.
  • Onboarding materials — guides and instructions that help clients quickly understand the product and start using it effectively.
  • Videos and tutorials — step-by-step explanations in video or screencast format demonstrating how to complete specific actions in the system.
  • Customer portal — a dedicated space where clients can create requests, track statuses, receive updates, and communicate with the team.

This creates two immediate benefits: 

  1. Customers find answers faster.
  2. Teams spend less time handling repetitive questions.

However, there is an important nuance: a knowledge base only works when it is up to date and genuinely useful — not something created simply “for the sake of having one.”

Support the team with tools, integrations, and automation

Even the best processes fail if teams do not have access to the full customer context. In B2B customer service, it is critical that: 

  • the entire history of customer interactions is stored in one place
  • support teams can see what happened during sales and implementation stages
  • teams are not operating blindly

This is where several tools play a key role:

  • CRM system — a single source of truth about the customer: interaction history, context, agreements, and status
  • Ticketing and service processes — for managing requests, priorities, SLAs, and escalations
  • Communication channel integrations — ensuring email, phone, messengers, and customer portals work as a unified system rather than separate touchpoints
  • Automation — for handling repetitive tasks, routing requests, and reducing manual work
  • AI tools — for enhancing service through chatbots, automatic request classification, response suggestions, and quick access to the knowledge base.

An important point: in modern approaches, all these capabilities are increasingly implemented within a single CRM platform or a tightly integrated ecosystem, such as SMART CRM. This approach helps preserve a unified customer context, eliminate communication gaps, and create a truly seamless service experience. 

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B2B customer service KPIs — what to measure?

When evaluating B2B customer service, it is important to look beyond isolated metrics and combine operational, qualitative, and business indicators.

Operational KPIs: response time, resolution time, and SLAs

These are the foundations of any service operation. They include:

  1. first response time
  2. full resolution time
  3. SLA compliance

However, these metrics should always account for: 

  • the type of request
  • its complexity
  • its priority level

Because “fast” does not always mean “effective.” In many cases, solving the problem correctly is more important than simply replying within five minutes. In CRM systems, these metrics are typically combined with sales, marketing, and customer success data to create a comprehensive view of performance. You can learn more about this in the article “CRM Reporting: From Sales to Service — KPIs, Management Best Practices, Reports, and Business Analytics.” 

Quality and business KPIs: CSAT, NPS, retention, and renewals

Operational metrics show how the service team performs. But they do not answer the most important question: does the service create business value?

That is why it is equally important to track:

  1. CSAT — how satisfied the customer is with a specific interaction
  2. NPS — whether the customer is willing to recommend your company to others
  3. Contract renewals — whether the client continues the partnership through contract renewal or extension
  4. Retention — whether the customer stays with your company. This can include different forms of ongoing cooperation: even if a contract has not yet been formally renewed, a client who has not switched to a competitor is still considered “retained.” In SaaS, for example, retention may simply mean continued use of the service
  5. Account growth — whether the scope of cooperation is expanding over time.

These are the metrics that show whether customer service truly functions as a growth driver. To see how this works in practice, explore the examples featured in the article “CRM Reporting in Action: Real Dashboard Examples in SMART CRM Solutions.

B2B Customer Service Examples in Practice

In B2B customer service, there are several critical moments that effectively define customer experience: onboarding, issue resolution, and renewal preparation. This is exactly where a CRM system becomes the “framework” that keeps the entire process connected.

Example 1: Onboarding a new B2B customer

After signing a contract, the client expects not only access to the product, but also a clear and structured start to the partnership. Strong onboarding typically includes:

  • a dedicated account owner who coordinates communication
  • aligned expectations regarding the process, milestones, and deadlines
  • access to all necessary onboarding resources — such as guides, documents, and key contacts
  • a clear understanding of what happens next and what the next steps will be

Within a CRM system, this usually means the following:

  1. All agreements and onboarding steps are documented in the system.
  2. Tasks are automatically distributed across teams (sales → implementation → support).
  3. Teams can access the complete customer history even before the first support request is submitted.

As a result, onboarding becomes a structured and manageable process rather than something dependent on an individual manager’s memory.

Example 2: Handling an urgent issue on the client side

Critical situations are the moments when customer service either “sells” the company or destroys trust. In a CRM-powered B2B service model, the process typically looks like this:

  • the request is quickly logged and assigned a priority level
  • the responsible person is automatically assigned
  • escalation procedures are triggered when necessary
  • the client receives regular status updates
  • once the issue is resolved, the case is formally closed with a clear explanation provided to the client

Here, the role of CRM is critical:

  1. All requests are captured within a single ticketing system.
  2. Priorities and processing routes are assigned automatically.
  3. Teams can see previous cases, customer context, and account importance.
  4. Communication with the client is documented and does not get lost across channels.

This helps avoid situations where team members are unaware of what is happening.

 Example 3: Proactive support before renewal

One of the most common mistakes companies make is remembering the client only a month before the contract expires. Strong customer service works differently:

  • Teams discuss the client’s business goals and plans for the next period.
  • Regular check-ins are conducted to ensure all needs are being met.
  • Feedback is collected and potential issues are addressed proactively.
  • The value delivered to the client is clearly demonstrated.

Within a CRM system, this typically includes: 

  1. Automatic reminders about key milestones (for example, upcoming renewal dates).
  2. Customer analytics: activity levels, support history, and satisfaction metrics.
  3. A unified view of customer interactions shared across sales, support, and customer success teams.

As a result, renewal decisions are based on data rather than intuition. This becomes especially effective when CRM is combined with AI capabilities. For example, in a McKinsey case study, a company used artificial intelligence to evaluate deals and recommend optimal discount strategies. The data was integrated into the CRM system, giving sales teams quick access to the best options and a transparent view of every deal. For the company, this meant lower risk of errors, consistent adherence to internal pricing policies, and a 10% increase in profit. For customers, it resulted in fair and predictable offers tailored to their history, needs, and business context — without unnecessary pricing fluctuations. In this way, customer service becomes more than a reactive response mechanism. It evolves into a proactive relationship management tool that simultaneously protects the business and improves customer satisfaction. 

Across all three scenarios, CRM serves one key function — preserving and transferring context between teams and across every stage of the customer journey.

And ultimately, this determines whether customer service feels like a disconnected set of actions or a seamless, thoughtfully designed experience for the client.

How SMART CRM and AI Support B2B Customer Service

In practice, CRM and AI in B2B customer service address several specific challenges that are essential for delivering consistent and predictable customer support. For example, the SMART CRM platform offers extensive functionality that serves as the backbone of the entire B2B service model by: 

  • storing the complete customer interaction history
  • structuring data by accounts, contracts, SLAs, and requests
  • providing teams with full context in real time, without the need for “handing information over” between departments

As a result, B2B customer service becomes less reactive and fragmented. Teams can understand situations faster and provide customers with a consistent experience — regardless of the channel or touchpoint.

How it works in practice

1. A unified customer history instead of “communication scattered across different tabs” — when all interactions, such as emails, calls, tickets, comments, and more, are consolidated within the CRM, any specialist can immediately see the full picture. This eliminates a common B2B issue where customers are forced to repeat the same information to multiple managers.

2. Coordinated teamwork — sales, support, implementation, and customer success teams operate within a shared environment. SMART CRM synchronizes their activities by:

  • transferring context between stages
  • recording agreements
  • helping avoid duplicate work or lost tasks

3. SLA and service process management — the system enables teams to:

  • automatically prioritize requests
  • trigger escalations
  • track response and resolution times

This means that SLAs stop being merely “promises on paper” and become manageable processes.

4. Automation of routine tasks — repetitive activities such as ticket routing, notifications, task creation, and similar operations are handled automatically. As a result, teams spend less time on operational work and more time actually helping customers.

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Where AI can enhance B2B service — and what it actually changes

Today, there are several key scenarios for enhancing a CRM system focused on B2B customer service with AI capabilities:

  1. Request classification — the system automatically identifies the type and priority of a ticket, allowing the team to immediately understand what is critical and what can wait.
  2. Response suggestions — managers receive ready-made response drafts that can be adapted to the customer’s specific business context. This reduces response time and makes communication more consistent.
  3. Case summaries — AI generates concise summaries of request histories, eliminating the need to read lengthy discussion threads. This is especially important in B2B environments, where cases may continue for months.
  4. Knowledge base assistance — AI finds relevant materials (FAQs, instructions, tutorials) and suggests them in the context of a specific request. This reduces the workload on teams and increases support efficiency.
  5. Forecasting and analytics — AI helps CRM systems predict churn risks, forecast contract renewals, and identify opportunities for cross-sell and upsell.

If CRM provides structure and context, AI accelerates processing and enhances decision-making. Together, they improve the speed and quality of communication, ensure consistent SLA compliance, and make service processes more predictable for customers.

This is exactly the approach implemented by SMART business, which builds its service model on the Microsoft technology ecosystem and its own proprietary solutions.

How CRM for B2B works in practice: SMART business case studies

To make all of this less theoretical, here is how these approaches work in real B2B environments.

Seeton: managing complex sales processes and building a unified ecosystem

At Seeton, sales processes involved multiple stages: presales, approvals, implementation, and post-sales support. Part of the data was stored across different systems, which meant there was no unified customer view.

In B2B customer service, this creates a common challenge — at each stage, different teams see only “their part” of the process, causing deal context to be lost.

After implementing Microsoft Dynamics 365 Sales, all sales stages were consolidated into a single system, including financial and operational data.

As a result, customer interaction became seamless: every participant in the process has access to the full history, responds to requests faster, and avoids duplicating the work of other teams. You can learn more about the case here.

YURiA-PHARM: centralized data and control of international interactions

Before implementing CRM, interactions with customers and partners across different countries were fragmented across Excel files, email, and local documents. This complicated coordination and created risks of losing important contract-related information.

In international B2B environments, this is critical — any lack of coordination between teams directly affects service consistency.

The CRM system consolidated all data into a single environment: communication history, contracts, and partner management.

As a result, all teams work with the same information, communication gaps were eliminated, and customer management became predictable regardless of the market. You can learn more about the case here.

AM Integrator Group: flexibility and adaptation to unique business processes

The company operated with complex internal sales processes and customer interactions that did not fit standard CRM scenarios.

This reflects a typical B2B challenge — when the system limits the business instead of supporting its specifics.

The SMART Sales solution was adapted to the company’s internal logic and integrated with Microsoft 365 and Power BI, enabling unified data management, analytics, and operational processes.

As a result, the team received a single workspace with fewer manual operations, faster access to data, and transparent analytics for management decision-making. You can learn more about the case here.

Conclusion:

Today, strong B2B customer service cannot be built without a system. That is why companies investing in structured, system-driven service gain an advantage in long-term customer relationships.

If you are building a B2B customer service model and want to make it more manageable, predictable, and efficient, request a consultation, and the SMART business team will help you choose a solution tailored to your goals and the specifics of your company’s operations.

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6 min read
TOFU, MOFU, BOFU — three stages of the sales funnel that determine whether traffic becomes a customer base

How do you understand what a potential customer wants? How do you avoid offering a technical guide to someone who hasn’t yet recognized their need, and at the same time not lose someone who is already waiting for a concrete offer or demo? And most importantly — how do you build communication that is relevant, timely, and truly useful?

In modern marketing, understanding context is essential: what exactly the user is searching for, what level of awareness they have, and how close they are to making a decision. This is exactly what the TOFU, MOFU, BOFU model is designed for — an approach that helps align marketing activities with the customer’s journey toward purchase.

TOFU, MOFU, BOFU — how does it work in the funnel? 

TOFU, MOFU, BOFU are abbreviations that represent three key stages of the marketing funnel: from building awareness to making a purchase decision. Each of these stages requires a different approach to content, messaging, and communication channels. 

  • TOFU (Top of the Funnel) — upper level of the funnel. This is the awareness stage. The user is not yet looking for a specific solution — they are exploring a topic, gathering information, and forming an understanding of their problem. 
  • MOFU (Middle of the Funnel) — middle level. This is the consideration stage. The user now has a clearer understanding of their need and starts comparing approaches, tools, or solutions. 
  • BOFU (Bottom of the Funnel) — lower level. This is the decision stage. The user is ready to take action: choosing a vendor, product, or service, and evaluating specific offers. 

TOFU (Top of Funnel) — awareness stage 

TOFU (Top of Funnel) is the stage where a user first encounters the topic but is not yet looking for a specific solution. 

At this stage, the customer usually does not formulate queries in terms of “buy” or “order.” Their questions are much broader: “what is it?”, “how does it work?”, “why is it important?”. In other words, the user is exploring the context. 

That is why TOFU is about explanation, topic exploration, and building trust. At this stage, the brand acts not as a seller, but as a guide who helps users better understand the problem and outline possible directions for solving it. 

Stage one — what content builds awareness? 

At the TOFU stage, the main goal is to attract attention. Direct selling does not work here, as the user is not ready for it yet. 

The most effective content formats typically include: 

  • blog articles and explanations 
  • guides and basic how-to instructions 
  • definitions of terms and concepts 
  • educational content (how-to, trend explanations) 
  • social media posts and videos 

MOFU (Middle of Funnel) — consideration stage 

MOFU (Middle of Funnel) is the middle stage of the funnel, where the user moves from a general understanding of the problem to searching for specific solutions. 

At this stage, the need is already defined. The user compares approaches, tools, or products and evaluates their advantages and disadvantages. Their queries become more specific: “which option is better?”, “how do solutions differ?”, “what should I choose for my task?”. 

Thus, MOFU is about argumentation and choice. The key goal here is to help the user navigate alternatives, demonstrate expertise, and guide them toward an informed decision without direct pressure. 

Stage two — what content helps users choose? 

At the MOFU stage, content should help users navigate between available options. 

The most effective formats here are: 

  • case studies and real implementation examples 
  • product or approach comparisons 
  • webinars and expert materials 
  • eBooks or in-depth guides 
  • “how to choose” articles 

This type of content should demonstrate expertise, respond to more specific queries, and gradually build trust. 

BOFU (Bottom of Funnel) — decision stage  

BOFU (Bottom of Funnel) is the final stage of the marketing funnel, where the user is very close to making a purchase or is already ready to do so. 

At this level, the need is clearly defined. The user has chosen an approach and is now deciding on a vendor, product, or terms of cooperation. They are interested in details: pricing, functionality, case studies, reviews, and demos. 

BOFU is about specificity and trust in the solution. This is where it is crucial to remove final doubts, demonstrate practical value, and clearly explain why the user should choose you. 

Stage three — what content converts? 

At the BOFU stage, the company’s goal is to help the customer take the final step. 

The most effective formats include: 

  • product or service demos  
  • consultations  
  • landing pages  
  • customer reviews and results-based case studies  
  • special offers or promotions  

The main goal of BOFU content is conversion. 

Visual comparison: what is the difference between TOFU, MOFU, and BOFU? 

ParameterTOFUMOFUBOFU
Customer journey stage Awareness Consideration Decision to purchase 
User intent Understand the problem or learn about the topic Find and compare the most relevant solutions Choose a specific product or vendor 
Main queries “what is it”, “how does it work”, “what is it for” “which option to choose”, “comparison”, “best solutions” “price”, “reviews”, “demo”, “order” 
Content type Blog articles, guides, educational content Case studies, comparisons, webinars, reviews Demos, landing pages, commercial offers 
Search queries “what is a CRM system” “CRM for small business: comparison” “buy CRM price” 
СТА (call to action) “Read more”, “Subscribe”, “Download guide” “See more case studies”, “Register for webinar” “Request a demo”, “Get consultation”, “Buy” 

How to combine content with the customer journey: a step-by-step strategy 

To make content in the marketing funnel truly effective, it should be planned as a sequential scenario. This is where the simple logic of content mapping comes in: 

topic → funnel stage → format → CTA 

Here’s what it looks like in practice: 

  • BOFU: A user enters a query like “CRM system price” or “CRM demo” → visits a product landing page or case study page → evaluates a specific offer → CTA: “request a demo” or “book a consultation

A tricky question: how do we measure the effectiveness of TOFU, MOFU, and BOFU? 

The effectiveness of content within a marketing funnel cannot be evaluated using a single universal metric. Each stage plays a different role — and therefore requires its own KPIs. What represents success at TOFU will not be relevant for BOFU, and vice versa. 

It is important to assess how content contributes to moving the user through the funnel. 

1. TOFU — Reach and awareness: At this stage, the key metrics focus on how effectively you attract attention and generate interest. Key metrics: 

  • traffic (organic, referral, social) 
  • CTR (click-through rate) 
  • search visibility (impressions, rankings) 

2. MOFU — Engagement and consideration: At this stage, the focus is on whether the user is willing to engage further with your brand. Key metrics: 

  • number of leads 
  • registrations / subscriptions 
  • engagement (time on page, interactions, downloads) 

3. BOFU — Decision and conversion: The final stage, where the key outcome is a completed action. Key metrics: 

  • lead conversion rate (CR) 
  • number of applications or purchases 
  • revenue / sales 

This approach allows you to build a transparent system of conversion funnel KPIs and understand where exactly the company may be losing users — at the awareness, consideration, or decision stage.

The most common mistakes in TOFU, MOFU, and BOFU 

Even with a solid understanding of the TOFU–MOFU–BOFU model, companies still make typical mistakes that “break” the logic of the funnel and reduce content effectiveness. 

To help you avoid learning from your own mistakes, here are the most common ones: 

  • Lack of TOFU content (direct selling from the start): The brand tries to sell a product to users who do not yet understand their problem. As a result, engagement is low and potential audience is lost. 
  • Lack of progression between stages: Content exists in isolation: there are articles, case studies, and landing pages — but they are not connected and do not guide the user further along the journey. 
  • Inappropriate CTA: For example, “request a demo” in a TOFU article, or overly generic CTAs at the BOFU stage. This creates a mismatch between user intent and your offer. 
  • Mixed intent: When a single piece of content tries to both educate and sell at the same time. As a result, it fails to fully address either objective. 
  • One content type for all stages: For example, relying only on blog articles without case studies or commercial pages. This limits user movement through the funnel and often reduces conversion rates. 

How SMART CRM optimizes marketing strategy across funnel stages 

Effective work with TOFU, MOFU, and BOFU is, primarily, about managing data, contacts, and interactions. This is where a CRM system plays a key role, helping transform individual actions into a unified, manageable process. 

SMART CRM structures the entire user journey — from the first touchpoint to deal closure and post-sales interactions. This gives companies control over every stage of the funnel and allows them to tailor communication more precisely to real customer needs. 

TOFU — organizing first contact and data collection 

At this stage, SMART CRM: 

  • helps collect and store lead data from multiple channels 
  • tracks lead acquisition sources 
  • automatically assigns leads to managers 
  • enables analysis of TOFU activity performance 

MOFU — segmentation, lead nurturing, and communication personalization 

At this stage, SMART CRM: 

  • segments contacts based on behavior, interests, and funnel stage 
  • stores interaction history (emails, calls, content views) 
  • automates communication (email sequences, reminders, triggers) 
  • helps tailor content more precisely to user needs  

BOFU — sales support and deal closure 

At this stage, SMART CRM: 

  • provides full visibility into the pipeline and deal statuses 
  • helps prioritize opportunities and focus on “hot” leads 
  • gives access to the full customer interaction history 
  • simplifies coordination between marketing and sales 

To sum up: we’ve reached the end of this mini marketing funnel article

So, breaking down TOFU, MOFU, and BOFU is a way to understand user behavior logic and build relevant interactions with them at every step. 

In essence, the entire model comes down to a simple principle: systematic approach → better conversion → predictable results. In other words, every piece of content should have its place, role, and purpose within the overall system. 

When content, communication, and tools — including CRM — work in alignment, marketing becomes a structured and manageable process that consistently guides users from initial interest to decision, directly impacting business results. 

If you are looking for a system that optimizes your customer interactions, request a consultation, and SMART business experts will help you select and implement a relevant solution.

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