Implementing a CRM should bring Marketing and Sales closer together. Both teams begin working with the same contacts, companies, opportunities and activities. Marketing can follow what happens after a lead is handed over. Sales receives context about campaigns, content and previous interactions. Management gains a broader view of the journey between acquisition and revenue.<\/p>\n\n\n\n
In practice, this does not always happen.<\/p>\n\n\n\n
Many companies implement a CRM and continue to have the same discussions. Marketing believes it generates enough leads. Sales argues that those leads lack quality. Sales professionals complain that contacts arrive without enough context. Marketing does not know what happened to the opportunities it generated, and management still struggles to connect investment, pipeline and revenue consistently.<\/p>\n\n\n\n
The problem is that sharing technology does not mean sharing a process.<\/p>\n\n\n\n
Sales and marketing alignment depends on common definitions, responsibilities, handoff criteria, metrics, data and operating routines. A CRM can support all these elements, but it does not create them automatically. When the platform is configured on top of misaligned processes, it often does little more than digitalise that misalignment.<\/p>\n\n\n\n
Salesforce defines sales and marketing alignment as the strategic coordination of objectives, processes and communication between both functions. Its guidance highlights that shared goals do not solve fragmented systems and processes. Common definitions, communication, shared technology and leadership commitment are required to turn Marketing and Sales into a coordinated revenue engine.<\/p>\n\n\n\n
The central question, therefore, is not simply whether the company has a CRM. It is whether that CRM represents a revenue process that has genuinely been agreed by both teams.<\/p>\n\n\n\n
Explore seven practical ways to scale Marketing and Sales through shared processes, data and responsibilities<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Marketing and Sales remain misaligned after CRM adoption when they use the same platform but continue to work with different definitions, priorities, qualification criteria and metrics. The CRM makes information accessible, but it does not independently decide who should receive a lead, when that handoff should happen, what constitutes an opportunity or which team is responsible for each stage.<\/p>\n\n\n\n This distinction is critical. A company may centralise every contact and still have no shared definition of a qualified lead. It may automate lead assignment without defining how quickly Sales needs to respond. It may build dashboards without agreeing on which indicators both teams should monitor.<\/p>\n\n\n\n HubSpot identifies these issues as fundamental to Marketing and Sales collaboration. They include shared objectives and indicators, common buyer personas, qualification criteria, lead handoff processes and shared visibility over data. A single source of information and automated transitions only create value when the underlying process has already been defined.<\/p>\n\n\n\n The CRM therefore does not eliminate misalignment. A well implemented CRM helps operationalise alignment. A poorly designed CRM can do the opposite by automating rules that the organisation never genuinely agreed.<\/p>\n\n\n\n Read why Revenue Operations requires shared objectives, connected processes and consistent data across Marketing, Sales and customer teams<\/strong><\/a>.<\/strong><\/p>\n\n\n\n One of the most common problems begins during the implementation itself. The company selects the technology and quickly moves into properties, pipelines, automation, dashboards and integrations without first documenting how Marketing and Sales should work together.<\/p>\n\n\n\n The result is a CRM built around the old process, including the ambiguities, exceptions and individual habits that already existed.<\/p>\n\n\n\n Before configuring technology, the organisation should be able to answer apparently simple questions. When does a contact become a lead? What distinguishes a Marketing qualified lead from a lead that should actively be worked by Sales? Who decides that an opportunity exists? What happens when Sales rejects a lead? When should that contact return to Marketing? What information needs to exist at each stage?<\/p>\n\n\n\n If the answers change depending on the person being asked, the company does not yet have a common process to configure.<\/p>\n\n\n\n HubSpot recommends that CRM implementation starts with an understanding of the sales process and lead ownership rules. Deal stages should represent concrete events in the buying process rather than administrative statuses selected by the team. Unclear ownership rules can create conflict within the Sales organisation and between departments.<\/p>\n\n\n\n A CRM should therefore not be treated as a software installation project. It should translate an agreed operating model into technology.<\/p>\n\n\n\n Read the seven steps for implementing CRM and Marketing Automation around processes, data and measurable business outcomes<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Explore Liminal\u2019s guide to preventing CRM implementation failure through better process design, data and governance<\/strong><\/a>.<\/strong><\/p>\n\n\n\n The word lead appears simple until different teams begin using it.<\/p>\n\n\n\n For Marketing, a lead may be someone who downloaded content, attended a webinar and matches the intended profile. For Sales, that person may only deserve active attention when there is a confirmed need, an identifiable project or a commercial conversation.<\/p>\n\n\n\n Neither interpretation is necessarily wrong. The problem appears when both exist within the same process without a formal distinction.<\/p>\n\n\n\n Terms such as lead, MQL, SQL, opportunity, disqualified lead and customer need operational definitions. Creating those stages inside the CRM is not enough. The business needs objective criteria governing movement between them.<\/p>\n\n\n\n An MQL may, for example, require a minimum combination of profile and behavioural characteristics. The handoff to Sales may depend on specific signals of intent. An SQL may require human validation by the commercial team. An opportunity may only exist when there is a confirmed need, a potential project and an agreed next step.<\/p>\n\n\n\n The purpose is not to create bureaucracy. It is to prevent Marketing from being measured on records that Sales would never consider commercially relevant.<\/p>\n\n\n\n The absence of common definitions is one of the recurring causes of misalignment. When Marketing and Sales interpret concepts and metrics differently, technology does not eliminate the disagreement. It simply provides the same data for two different interpretations.<\/p>\n\n\n\n Lead scoring can help translate some of these criteria into more objective rules, provided that both Marketing and Sales participate in defining the model.<\/p>\n\n\n\n Learn how lead scoring works in HubSpot, Zoho CRM and Salesforce and how it can improve qualification and Sales prioritisation<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Even when there is agreement about what constitutes a qualified lead, the process can fail at the most important moment: the handoff to Sales.<\/p>\n\n\n\n Who receives the lead? What information accompanies it? How quickly should someone respond? What should the first action be? How many attempts are expected? What happens when the prospect does not respond? How is a rejected lead recorded? Who decides when it should return to nurturing?<\/p>\n\n\n\n If these questions are not defined, the business has an informal handoff rather than a process.<\/p>\n\n\n\n The CRM should transform the agreement into a clear sequence of events. When a lead meets the criteria, it should be assigned according to known rules. The owner needs access to the relevant context. There should be a deadline for the first action, and the system should be able to identify when that deadline has not been met.<\/p>\n\n\n\n Automation must, however, be the consequence of the process rather than a substitute for it.<\/p>\n\n\n\n Without agreement, the company can automate a poorly defined handoff instantly. A lead may reach the correct sales professional at the wrong time, or the wrong sales professional with all the necessary information. In both cases, technology exists but alignment does not.<\/p>\n\n\n\n Explore how a CRM can centralise customer information, structure sales follow up and create greater visibility across the funnel<\/strong><\/a>.<\/strong><\/p>\n\n\n\n A Service Level Agreement between Marketing and Sales defines the commitment of both teams within the revenue process.<\/p>\n\n\n\n Marketing may commit to delivering a certain volume or quality of leads. Sales may commit to responding within an agreed period and completing an appropriate number of contact attempts. Both teams may agree on the reasons that justify accepting, rejecting or recycling a lead.<\/p>\n\n\n\n The value of the SLA is not in the document itself. It is in creating bilateral accountability.<\/p>\n\n\n\n Without this agreement, Marketing can say that it delivered 200 leads while Sales argues that none of them had sufficient quality. Both statements can coexist because there is no shared criterion against which the performance of either team can be assessed.<\/p>\n\n\n\n An effective SLA also prevents the problem from being treated only as a question of volume. Marketing needs to understand which types of contacts become opportunities. Sales needs to accept that a commercially relevant lead requires consistent handling before it can be classified as uninterested.<\/p>\n\n\n\n The principle is straightforward. Marketing must take responsibility for the quality of demand. Sales must take responsibility for how that demand is worked.<\/p>\n\n\n\n A good SLA should not become a static document. It should be reviewed using actual CRM data. If a large percentage of leads are rejected, the business needs to understand why. If qualified leads remain untouched for too long, the sales response model needs to change.<\/p>\n\n\n\n See how Marketing and Sales alignment can be transformed into a measurable process with shared qualification, handoff and follow up rules<\/strong><\/a>.<\/strong><\/p>\n\n\n\n This is one of the most significant blind spots in a CRM strategy.<\/p>\n\n\n\n Marketing may be expected to increase traffic, leads and MQLs. Sales is evaluated through pipeline, win rate and revenue. Each team makes rational decisions to improve its own indicators, but those decisions may damage the overall result.<\/p>\n\n\n\n If Marketing needs to generate more MQLs, it may naturally pursue greater volume. If Sales is measured only on closed revenue, it may concentrate on opportunities that appear closer to a decision and ignore contacts that require further development.<\/p>\n\n\n\n The problem does not necessarily lie with the people. It lies in the incentive structure.<\/p>\n\n\n\n This is why sales and marketing alignment requires shared indicators. Both teams should be able to monitor measures related to the complete funnel, including the percentage of MQLs becoming SQLs, conversion between stages, sales velocity, pipeline created and influenced revenue.<\/p>\n\n\n\n This does not mean eliminating function specific metrics. Marketing still needs to monitor acquisition and engagement. Sales still needs to measure commercial activity and performance.<\/p>\n\n\n\n The difference is the addition of a common layer where both teams are accountable for the progression of demand into revenue.<\/p>\n\n\n\n Explore eight CRM metrics and dashboards for analysing pipeline, conversion, sales velocity and revenue performance<\/strong><\/a>.<\/strong><\/p>\n\n\n\n A useful executive dashboard should therefore connect Marketing activity with commercial outcomes rather than placing campaign metrics and sales metrics in completely separate reporting structures.<\/p>\n\n\n\n Information often moves in only one direction. Marketing delivers the lead. Sales receives it.<\/p>\n\n\n\n That model is incomplete.<\/p>\n\n\n\n Marketing needs to know what happened afterwards. Was the lead accepted? Was contact established? Did it become an opportunity? Was it disqualified? Why? Was a proposal sent? Was the deal lost? What was the reason?<\/p>\n\n\n\n Without this information, Marketing cannot learn from the quality of the demand it creates.<\/p>\n\n\n\n Imagine that one channel produces hundreds of leads at a very low cost per lead. If most of those contacts are disqualified because the companies are too small, the campaign is not performing as well as the Marketing indicators suggest. If another source generates only twenty leads but half become high value opportunities, the business must be able to distinguish between the two situations.<\/p>\n\n\n\n Disqualification and loss reasons are therefore strategic Marketing information.<\/p>\n\n\n\n They may reveal that a particular message attracts the wrong segment, that there is demand for functionality the company does not offer or that pricing is unsuitable for a specific market. They may also show that the leads were appropriate but the commercial follow up was insufficient.<\/p>\n\n\n\n A CRM should close this loop. Marketing provides Sales with information about the lead\u2019s origin and behaviour. Sales returns information about the commercial outcome.<\/p>\n\n\n\n This is what turns customer relationship management into a learning infrastructure rather than simply a place where contacts are stored.<\/p>\n\n\n\n Explore how CRM and Marketing Automation can be implemented as one connected system for acquisition, qualification, handoff and reporting<\/strong><\/a>.<\/strong><\/p>\n\n\n\n A lead may be perfectly qualified and still become lost inside the organisation because nobody knows who should take responsibility.<\/p>\n\n\n\n This often happens in companies operating across different geographies, business units, sales teams, products, strategic accounts or territory structures.<\/p>\n\n\n\n A lead enters the CRM. It is assigned to the contact owner, but the company belongs to another sales professional. Or it belongs to a strategic account managed by a different team. Or it relates to a product that has its own specialist. Marketing considers that the lead has been delivered while Sales is still deciding who should work it.<\/p>\n\n\n\n The CRM needs to reflect unambiguous ownership rules.<\/p>\n\n\n\n Automatic assignment can be extremely effective, but only after the organisation has decided which logic should be applied.<\/p>\n\n\n\n When the company is designing or reviewing these rules, it needs to map the main scenarios before configuration. Otherwise, the CRM gradually accumulates exceptions and workflows created to solve individual cases, making the ownership model increasingly difficult to manage.<\/p>\n\n\n\n Ownership must also be visible. A record without a clear owner, or with different owners for the contact, company and opportunity without an agreed logic, creates operational uncertainty and makes accountability difficult.<\/p>\n\n\n\n Read how better process design, data governance and ownership rules can prevent CRM implementation failure<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Another common problem is configuring the CRM around the structure of internal departments rather than the customer journey.<\/p>\n\n\n\n Marketing works with contacts. Sales works with deals. Customer Service works with tickets. Different objects are involved, but the customer remains the same.<\/p>\n\n\n\n When the relationships between these elements are unclear, the complete view disappears.<\/p>\n\n\n\n A sales professional may open an opportunity without knowing which campaigns influenced the contact. Marketing may continue nurturing someone who is already in an advanced negotiation. Customer Service may receive a new client without knowing what commitments were made during the sales process.<\/p>\n\n\n\n This is not simply a technical problem. It demonstrates that the business has not yet designed the lifecycle as one integrated process.<\/p>\n\n\n\n The CRM needs to represent relationships between people, companies, opportunities and interactions, as well as the statuses that explain where each customer is in the journey. Lifecycle Stage, Lead Status, Deal Stage and other classifications should not compete with one another. Each should answer a specific question.<\/p>\n\n\n\n A good data model reduces ambiguity. A poor one forces users to interpret fields, creates contradictory information and makes reporting unreliable.<\/p>\n\n\n\n Before selecting or redesigning a platform, the company should determine which data, relationships and functionality the operating model actually requires.<\/p>\n\n\n\n Download Liminal\u2019s guide to choosing a CRM based on business processes, objectives and technical requirements<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Automation is often presented as the solution to breakdowns between Marketing and Sales. It can be, but it can also amplify the problem.<\/p>\n\n\n\n If qualification criteria are wrong, a workflow sends the wrong leads to Sales faster. If ownership is poorly defined, automation immediately assigns the record to the wrong person. If lifecycle statuses are inconsistent, workflows propagate that inconsistency across thousands of records.<\/p>\n\n\n\n The first question should not be, \u201cWhat can we automate?\u201d It should be, \u201cWhich process are we trying to guarantee?\u201d<\/p>\n\n\n\n Once that answer exists, automation can create significant value. It can update statuses, distribute leads, create tasks, send alerts, identify SLA breaches, stop Marketing campaigns when an active opportunity exists and return contacts to nurturing when they are not yet ready to buy.<\/p>\n\n\n\n Automation makes a good process more consistent. It does not make a bad process correct.<\/p>\n\n\n\n Artificial intelligence introduces another layer of capability, but the same principle applies. Data, criteria and responsibilities need to be correctly defined before decisions are automated.<\/p>\n\n\n\n Explore how AI Marketing Automation can improve qualification, personalisation and conversion without losing control over the commercial process<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Explore Liminal\u2019s Marketing Automation approach for lead qualification, nurturing and Marketing and Sales alignment<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Many companies describe the CRM as their central source of information while continuing to rely on parallel spreadsheets, personal notes, email inboxes and external reports to make decisions.<\/p>\n\n\n\n This creates different versions of reality.<\/p>\n\n\n\n Marketing trusts the automation platform. Sales trusts the Sales Director\u2019s spreadsheet. Senior management receives a manually prepared file at the end of the month. None of these systems shows exactly the same figures.<\/p>\n\n\n\n When this happens, CRM alignment disappears because the problem is no longer only about process. It is also about trust.<\/p>\n\n\n\n Adoption cannot be evaluated simply through login counts. The business needs to understand whether critical information is actually recorded, whether salespeople update opportunities, whether loss reasons are used, whether activities are associated with the correct records and whether management itself uses CRM data to make decisions.<\/p>\n\n\n\n If managers continually request information outside the CRM, users quickly learn that updating the system is not genuinely mandatory.<\/p>\n\n\n\n The CRM must make work easier and more useful for the people using it. It should not be perceived solely as a management control tool.<\/p>\n\n\n\n Learn how to ensure that the Sales team uses the CRM from day one and avoid parallel spreadsheets and processes<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Adoption also depends on management behaviour. If leaders allow forecasts, pipeline reviews or strategic decisions to rely on data stored outside the CRM, the platform will never become the real source of truth.<\/p>\n\n\n\n It is perfectly possible to implement a CRM and preserve Marketing and Sales misalignment through reporting.<\/p>\n\n\n\n Marketing has a dashboard showing traffic, leads, campaigns and MQLs. Sales has another showing opportunities, forecast and revenue. Management receives both and manually tries to understand what happened between them.<\/p>\n\n\n\n An aligned reporting model should show continuity across the process.<\/p>\n\n\n\n How many leads were generated? How many met the qualification criteria? How many were accepted by Sales? What was the response time? How many became opportunities? How much pipeline was created? How many deals were won? How much revenue came from each source?<\/p>\n\n\n\n These questions transform reporting into a diagnostic tool.<\/p>\n\n\n\n If Marketing qualifies many leads but Sales accepts very few, there is a qualification problem. If Sales accepts them but takes several days to respond, there is an operational problem. If the leads become opportunities but rarely progress, there may be a problem with the offer, pricing, positioning or commercial execution.<\/p>\n\n\n\n The CRM should make these breakdowns visible.<\/p>\n\n\n\n Explore eight CRM metrics and dashboards that connect Marketing, pipeline, forecasting and revenue<\/strong><\/a>.<\/strong><\/p>\n\n\n\n The purpose of reporting is not to create more dashboards. It is to create visibility over decisions, bottlenecks and accountability. A report that does not change behaviour or priorities adds little value.<\/p>\n\n\n\n Revenue Operations has become particularly relevant because misalignment does not stop between Marketing and Sales.<\/p>\n\n\n\n Customer Service, Customer Success, Finance, Operations and other functions can influence the customer journey and revenue. In a Revenue Operations model, the objective is to prevent each department from optimising only its own part of the process.<\/p>\n\n\n\n Marketing stops being accountable only for leads. Sales stops being accountable only for closed deals. Customer teams stop being evaluated only by the number of requests resolved.<\/p>\n\n\n\n The organisation begins to look at the complete system.<\/p>\n\n\n\n This does not mean removing specialisation. It means creating processes, data and indicators that make it possible to understand how one team\u2019s actions affect the others.<\/p>\n\n\n\n The CRM becomes an important component of this architecture because it can operate as a common information layer. However, it still requires governance rules, integrations and processes defined beyond the technology itself.<\/p>\n\n\n\n Read Liminal\u2019s guide to Revenue Operations and how RevOps can connect people, processes, data and technology in SMEs<\/strong><\/a>.<\/strong><\/p>\n\n\n\n The correction should begin with a diagnosis of the current process. Not the ideal CRM process, but what actually happens when a lead enters the business today.<\/p>\n\n\n\n The company should follow several real examples from the original source through to the final outcome and identify decisions, transfers, waiting periods, stakeholders and systems used along the way. This exercise often reveals significant differences between the documented process and actual behaviour.<\/p>\n\n\n\n The next step is to establish common definitions for every stage of the lifecycle. Lead, MQL, SQL, opportunity, disqualification, recycling and customer need explicit criteria. The business does not need dozens of rules, but the rules that exist need to be clear enough for two different people to reach the same conclusion.<\/p>\n\n\n\n Responsibilities should then be defined. Who owns each lead? At what point? How long does the team have to act? What information needs to be available? What outcome should be recorded?<\/p>\n\n\n\n Only after these agreements exist should the CRM configuration be reviewed. Properties, lifecycle stages, pipelines, workflows, lists, scoring models, automation and dashboards should reflect the agreed process.<\/p>\n\n\n\n HubSpot reinforces this approach through its implementation methodology. The platform recommends understanding the process and lead ownership, mapping the CRM to the Sales process, creating routing and notification automation, building appropriate user views and continuously monitoring data and systems.<\/p>\n\n\n\n The final stage is governance. Alignment does not end at go live. New campaigns, products, teams and markets change the requirements. Someone needs to take responsibility for the evolution of the model and prevent accumulated exceptions from destroying its coherence.<\/p>\n\n\n\n Explore Liminal\u2019s CRM and Marketing Automation implementation approach, from strategy and process design to configuration and continuous improvement<\/strong><\/a>.<\/strong><\/p>\n\n\n\n The quality of alignment can be measured.<\/p>\n\n\n\n The company should begin with the handoff between teams. The percentage of Marketing qualified leads accepted by Sales reveals whether qualification criteria reflect commercial reality. Time to first contact shows whether the handoff is operationally effective.<\/p>\n\n\n\n Conversion should then be monitored. MQL to SQL, SQL to opportunity and opportunity to won deal conversion rates show where the largest proportion of potential customers is being lost.<\/p>\n\n\n\n Pipeline and revenue by source should also be analysed. Marketing needs to understand which campaigns create commercially relevant opportunities. Sales needs to recognise that different lead sources may produce different conversion patterns and sales cycles.<\/p>\n\n\n\n Speed is another essential metric. How long does a lead take to reach Sales? How long does it remain without contact? How long before it becomes an opportunity? How much time is spent in each stage?<\/p>\n\n\n\n Finally, operational quality should be measured. The percentage of complete records, opportunities without a next activity, SLA breaches, rejection reasons and loss reasons all reveal whether the agreed process is actually being followed.<\/p>\n\n\n\n The purpose of these indicators is not to identify which department is to blame. It is to identify where the system is losing revenue.<\/p>\n\n\n\n Explore the CRM metrics and dashboards required to measure Marketing and Sales alignment through real pipeline performance<\/strong><\/a>.<\/strong><\/p>\n\n\n\n Not by itself.<\/p>\n\n\n\n A CRM creates the technological conditions to centralise information, automate processes, share context and measure the journey from demand to revenue. But it still depends on the decisions the business has made about processes, responsibilities, data and metrics.<\/p>\n\n\n\n Putting Marketing and Sales in the same platform without common definitions simply places the disagreement inside the same system.<\/p>\n\n\n\n Creating a shared dashboard without shared KPIs simply shows two perspectives on the same screen.<\/p>\n\n\n\n Creating workflows without agreed rules automates decisions that remain unresolved.<\/p>\n\n\n\n Technology becomes transformative when the operating model is clear. This is why CRM implementation should involve Marketing, Sales, Service, Operations and management from the discovery stage.<\/p>\n\n\n\n The organisation must also determine whether the selected technology is appropriate for its level of complexity and maturity.<\/p>\n\n\n\n Explore HubSpot and how CRM, Marketing, Sales and Customer Service can operate within an integrated platform<\/strong><\/a>.<\/strong><\/p>\n\n\n\n For organisations that require greater customisation and a broader business application ecosystem, Zoho can also be a relevant alternative.<\/p>\n\n\n\n Explore the Zoho ecosystem for CRM, Marketing, Sales, Customer Service and business operations<\/strong><\/a>.<\/strong><\/p>\n\n\n\n The right platform is not necessarily the one with the most features. It is the one that can support the company\u2019s agreed operating model without introducing unnecessary complexity.<\/p>\n\n\n\n The platform does not solve alignment problems by itself, and the implementation partner should not limit its role to technical configuration.<\/p>\n\n\n\n A CRM partner should be able to understand the business model, map processes, challenge inconsistencies, structure data, configure the platform, manage integrations, implement automation and support adoption.<\/p>\n\n\n\n This is particularly important in HubSpot and Zoho projects. Both platforms can support robust Marketing and Sales processes, but a generic configuration may preserve precisely the silos the organisation intended to eliminate.<\/p>\n\n\n\n Companies should understand whether the partner begins with business requirements or software functionality. There should also be clarity about who designs the process, who performs the configuration, how testing takes place and what support exists after go live.<\/p>\n\n\n\n The partner should be capable of saying that a proposed workflow, field or pipeline stage should not exist when it does not improve the process. Simply reproducing every existing request inside a new CRM does not create transformation.<\/p>\n\n\n\nWhy do Marketing and Sales remain misaligned even after CRM adoption?<\/h1>\n\n\n\n
1. The CRM was implemented before the process was defined<\/h1>\n\n\n\n
2. Marketing and Sales use different definitions for the same lead<\/h1>\n\n\n\n
3. The Marketing to Sales handoff has not really been designed<\/h1>\n\n\n\n
4. There is no Service Level Agreement between Marketing and Sales<\/h1>\n\n\n\n
5. Marketing and Sales are measured against conflicting metrics<\/h1>\n\n\n\n
6. The CRM does not return feedback to Marketing<\/h1>\n\n\n\n
7. Ownership and assignment rules are ambiguous<\/h1>\n\n\n\n
8. The data model does not represent the real customer journey<\/h1>\n\n\n\n
9. Automation is making the misalignment faster<\/h1>\n\n\n\n
10. The CRM is not really the shared source of information<\/h1>\n\n\n\n
11. Dashboards are still separated by department<\/h1>\n\n\n\n
Revenue Operations turns alignment into a revenue issue<\/h1>\n\n\n\n
How to correct Marketing and Sales misalignment in the CRM<\/h1>\n\n\n\n
Which metrics should Marketing and Sales track together?<\/h1>\n\n\n\n
Does CRM solve Marketing and Sales misalignment?<\/h1>\n\n\n\n
How to choose a partner for CRM, Marketing and Sales alignment<\/h1>\n\n\n\n