Marketing automation management obstacles in a growing company
On paper, marketing automation checks every box for a growing company. It saves time on repetitive tasks, nurtures prospects with relevant content, and passes more mature leads to sales teams. It also makes it possible to personalize interactions at a scale no team could sustain manually.
On paper, marketing automation checks every box for a growing company. It saves time on repetitive tasks, nurtures prospects with relevant content, and passes more mature leads to sales teams. It also makes it possible to personalize interactions at a scale no team could sustain manually.
In practice, many companies have software running without getting any real results from it. And growth only makes things harder: more contacts, more channels, more team members, and more tools to connect. Each new stage of development reveals friction points that did not exist at the start.
The most common obstacles fall into five categories: strategic, human, technical, operational, and legal. For each one, you will find the warning signs to watch for and concrete actions to address them.
Why marketing automation becomes harder to manage as a company grows
More contacts, channels, and scenarios to orchestrate
At launch, one person often manages everything: a few welcome emails, a newsletter, and a follow-up after a white paper download. It all fits in their head.
Growth changes the equation. The contact database expands and segments multiply by industry, company size, or maturity level. Campaigns become multichannel, spanning email, SMS, LinkedIn, and the website. Scenarios pile up, created by different people, at different times, with sometimes conflicting objectives.
The versatility that made the team strong at the beginning then becomes a constraint. When the same people manage strategy, content production, campaigns, and sales follow-up, they no longer have time to step back and look at the system as a whole.
Tools adopted but used unevenly depending on company size
Public statistics show just how much digital maturity depends on company size. According to Eurostat, just over a quarter of European companies used customer relationship management (CRM) software in 2023. The gap is considerable between small businesses (22%) and large companies (61%).
The same pattern can be seen with artificial intelligence, now integrated into most marketing automation platforms. According to Insee, 18% of companies based in France reported using at least one AI technology in 2025, compared with 58% among those with 250 employees or more.
Key figures
- 25.8% of EU companies use a CRM (22% of small businesses, 61% of large companies)
- 18% of companies in France use at least one AI technology, 58% among those with 250 employees or more.
A growing company therefore often finds itself between two worlds. It has moved beyond the makeshift practices of the early days, but it does not yet have the processes, skills, and tooling of a large organization. It is precisely in this in-between stage that obstacles accumulate.
Strategic obstacles that hinder marketing automation
Automating without a strategy or measurable objectives
This is the most common mistake and the most costly one. The tool has just been installed, and the scenario builder is intuitive, so the team starts building: a welcome sequence, an inactive-contact re-engagement flow, and a nurturing sequence after a webinar. Within a few weeks, a dozen workflows are live... without anyone having defined what they are supposed to deliver.
The outcome is predictable. Sequences send the same content several times because there is not enough material, follow-ups point to pages unrelated to the contact's initial interest, and it becomes impossible to tell whether the setup is generating any return.
The software must remain in service of the strategy, never the other way around. Before configuring anything, formalize SMART objectives (specific, measurable, achievable, realistic, and time-bound). "Get more leads" is not enough. Increase the number of qualified leads generated by the website by 20% over the next six months" provides a clear direction and a success criterion.
Your automation strategy should answer the following questions in particular:
- Which business objectives should automation support: acquisition, conversion, retention, and shortening the sales cycle?
- Which audiences will you target first, and what problems are they trying to solve?
- At which touchpoints in the customer journey will automated flows intervene?
- Which data will feed the scenarios, and how will you ensure its reliability?
- Who does what within the team, from design through performance monitoring?
- How and how often will the strategy be reviewed?
Insufficient knowledge of buyer personas and the buying journey
Marketing automation promises to send the right message to the right person at the right time. But you still need to know who that person is and where they are in the journey.
In B2B, buyers spend a long time researching before speaking to a sales representative. They identify their problem (awareness), compare solutions (consideration), then verify the supplier's reliability (decision). Each stage calls for different content and messages. Offering a sales demo to a contact who has only just become aware of their need is a good way to drive them away.
Two tools help overcome this obstacle. Buyer personas describe your ideal customers: their responsibilities, objectives, challenges, and decision criteria. Buying journey mapping (buyer journey) matches each stage with the prospect's questions, the content to offer, and the automated actions to trigger. Once this work is done, scenario design becomes almost mechanical.
A lack of content to feed the scenarios
A workflow is just a pipe: without content flowing through it, it runs empty. This obstacle is often underestimated by growing companies, which invest in the tool but not in editorial production.
The most effective approach starts with a content audit. Take inventory of what already exists (blog posts, guides, case studies, videos, webinars, and comparisons) and classify each item according to three criteria: the target persona, the journey stage, and the relevant offer. The gaps become immediately visible.
Then establish a production schedule and create the content before activating the scenarios. If you have neither the in-house skills nor the budget to outsource, it is better to start with a small number of well-supported journeys than to launch sequences that keep recycling the same white paper.
Teams and organization: the human barriers to marketing automation
Lack of in-house skills and resources
Running a marketing automation platform requires a hybrid profile: technical understanding of the tool but also expertise in content, segmentation, data analysis, and deliverability. This profile is rare, and a growing company rarely has the budget to hire several people with these skills.
The issue goes beyond marketing automation alone. Among French companies that do not use artificial intelligence, Insee reports that 54% cite a lack of expertise, while 71% say they do not see the value. Yet AI is increasingly integrated into automation software (predictive scoring, content recommendations, and assisted writing). The skills gap is therefore likely to widen as tools become more sophisticated.
Lack of time makes the problem worse. Configuring a tool, importing historical data, building the first journeys, and training teams takes several months. If no one is given dedicated time to manage it, the project stalls.
Several solutions are available depending on your situation: appoint an internal owner with genuinely allocated time, rely on the support offered by the vendor, or bring in a specialist agency for the deployment phase, with knowledge transfer planned from the outset.
Misalignment between marketing and sales
Here is a classic scenario. Marketing sets up automated nurturing and passes contacts to sales when they reach a certain score. But that threshold has never been discussed with the sales team. Sales reps receive leads they consider unqualified, ignore them, and marketing wonders why its leads do not convert. Each side blames the other for the failure of the setup.
The remedy is a formal agreement between the two teams before the tool is even configured. It should specify:
- The definition of an MQL (marketing-qualified lead) and an SQL (sales-qualified lead);
- The lead scoring threshold at which a contact becomes a priority;
- The information was passed on to the sales representative with each lead;
- The response time and the actions expected after the handoff;
- The shared indicators monitored by both teams.
To formalize qualification criteria, a simple matrix works extremely well:
Example to adapt to your offer and market.
The exchange does not stop at launch. Marketing shares behavioral data (content viewed, emails opened), while sales teams feed back the reasons for purchases and rejections. This loop makes it possible to continuously refine scenarios and scoring.
Internal adoption, training, and governance
Marketing automation is a company-wide project, not a tool project. It affects marketing, sales, sometimes customer service, and IT, and it needs executive support. If teams are not convinced of its value, they will work around the platform or use only a fraction of its capabilities.
Three levers encourage adoption. First, involve future users from the tool-selection stage by gathering their needs and including them in demonstrations. Next, provide role-specific training: a sales representative does not need the same knowledge as a marketing specialist. Finally, keep teams up to date as the platform evolves.
On the governance side, a monthly meeting bringing together marketing, sales, and management makes it possible to review performance, make trade-offs, and decide on changes. This is the approach specialists call RevOps: manage the entire revenue cycle around a shared funnel and common metrics.
Data, tools, and integrations: the technical obstacles to marketing automation
Poor-quality data that distorts automation
An automated scenario amplifies whatever it is given. Feed it outdated addresses, duplicates, and empty fields, and it will industrialize the delivery of inappropriate messages: the same poor results as before, only faster and at a greater scale.
B2B is particularly exposed because professional data becomes outdated quickly: your contacts change roles, companies, or positions. Every send to a dead address increases the bounce rate and harms the deliverability of all your campaigns.
Before activating a new workflow, and then at regular intervals, plan these cleanup actions:
- Remove duplicates and merge records for the same contact;
- Remove hard bounces and monitor repeated soft bounces;
- Segment or remove long-inactive contacts;
- Complete the key fields used by your segments and scoring;
- Check contact assignment to the correct segments;
- Add validation rules to your data collection forms.
Automating these checks saves time, but occasional manual reviews are still useful for spotting trends and correcting the source of errors.
Marketing automation software that does not match the company's maturity
The market includes hundreds of solutions, and choosing the wrong one is costly: an oversized tool that no one masters, or a tool that is too limited and has to be replaced after eighteen months. Serious platforms share a broad base of common features (scenarios, emailing, and segmentation). The main differences lie in power, usability, emailing, and price.
The trap is choosing based on feature richness or an introductory price. Start instead from your objectives and your team's actual maturity, then assess each solution against these criteria:
- Functional fit: workflows, lead scoring, segmentation, forms and landing pages, reporting;
- Total cost of ownership: subscription, but also training, integration, support, and upgrades;
- Ease of use in relation to your team's skill level;
- Scalability: Will the tool support your growth in contact volume, users, and channels?
- Integrations with your CRM and your current or future tools;
- Compliance and security: data hosting, consent management, and unsubscribes.
Data silos and faulty CRM synchronization
As a company grows, it accumulates tools: an emailing platform, a CRM, a social media management tool, forms, an appointment scheduling tool, and a data enrichment solution. If these tools do not communicate, each one holds only part of the truth about the customer. These are known as data silos.
The consequences are twofold. Campaigns become less relevant because there is no complete view of the prospect. Teams waste time manually exporting and importing files, with all the errors that entails.
Synchronization between the CRM and the marketing automation platform is the first integration to secure. It ensures that marketing and sales work from the same data and that lifecycle statuses (lead, MQL, SQL, customer) are consistent from one tool to another. For other tools, favor native integrations, followed by APIs or connection platforms such as Zapier or Make. And regularly check that data flows are working: a broken synchronization often goes unnoticed for weeks.
Workflows that are too complex to maintain
Some companies build scenarios with dozens of conditions and branches or multiply nested workflows without naming conventions or documentation. As long as their creator is still there, it works. The day that person leaves, no one understands what is happening anymore.
The rule is simple: start with basic automations, measure their effectiveness, then enrich them gradually. Document each scenario (objective, trigger, exit conditions, owner) and adopt a clear naming convention. A small number of well-designed, well-monitored workflows is better than an unmaintainable maze.
Managing marketing automation day to day: operational pitfalls
Sending pressure that no one controls
Taken individually, each scenario seems reasonable: three welcome emails, five nurturing emails, and two inactive-contact follow-ups. But the same contact can enter several sequences in parallel while also receiving the newsletter and one-off campaigns. Without anyone deciding it, some prospects end up receiving eight or ten messages per month.
This over-solicitation has a cost beyond unsubscribes. It generates spam complaints, which damage your sender reputation with mailbox providers. And that reputation determines whether all your sends reach the inbox, including your best-crafted campaigns.
Two safeguards are enough to regain control:
- An overall cap on emails per contact per week, across all scenarios and campaigns;
- Exclusion rules between sequences: a contact in an active nurturing flow should not be in an inactive-contact re-engagement sequence, and a customer should no longer receive prospecting sequences.
Static scenarios with no exit conditions
"Automated" does not mean "autonomous." A workflow designed eighteen months ago reflects the offer, content, and market of that time. In the meantime, prices have changed, some pages have been redesigned, and links have broken. No one has checked because automated sends often fall outside monthly reporting, which focuses on one-off campaigns.
The most costly failure is the absence of an exit condition. A prospect who has become a customer keeps receiving emails inviting them to discover the solution they have just purchased. The effect on your credibility is disastrous, and the sales representative managing the account will hardly appreciate it.
Treat your scenarios as full-fledged campaigns. A quarterly review is enough in most cases: check exit conditions (signature, unsubscribe, and status change in the CRM), update the content, and compare performance with the previous quarter. A scenario whose rates are declining needs a redesign, not an extension.
Poorly chosen KPIs and ROI that are hard to prove
A growing company must justify every investment. Yet the return on investment of marketing automation remains difficult to prove when data is scattered across the website, CRM, advertising campaigns, and emailing tool.
The second pitfall is focusing on engagement indicators such as opens and clicks without linking them to revenue. A scenario with a high open rate but no opportunities has no business value.
Define a small number of priority indicators in advance, broken down by segment or scenario if needed, and bring them together in a single dashboard:
- Conversion rate from visitor → lead and lead → opportunity;
- Cost per qualified lead and customer acquisition cost;
- MQL-to-SQL conversion rate and average conversion time;
- Unsubscribe and complaint rate, to monitor sending pressure;
- Revenue attributed to automated campaigns and scenarios.
This monitoring only makes sense if it leads to decisions. For every success and every failure, seek to understand why, then adjust.
Too much automation, not enough human interaction
The opposite excess also exists. By automating emails, social media responses, request handling through a chatbot, and satisfaction measurement, marketing becomes generic. Customers notice and may turn to a competitor that offers more human interactions. The company also loses direct contact with its market, and therefore its ability to understand how needs are evolving.
Automation should strengthen human relationships, not replace them. Review the customer journey to identify the moments when direct interaction is essential: a complaint, a negotiation, or hesitation before signing. And continue to ask customers for feedback regularly.
GDPR and marketing automation: an often underestimated legal obstacle
What the CNIL allows for automated B2B prospecting
Compliance is generally checked for major campaigns. But who checks the fourth email in a follow-up sequence written two years ago?
In B2B, the rule is more flexible than in B2C, but it still exists. The CNIL accepts that prospecting professionals can be based on the company's legitimate interest and therefore carried out without prior consent, on one condition: the message must be related to the recipient's profession. An accounting software vendor can contact a CFO on that subject but not offer them a ski trip.
Two additional obligations apply. The person must be informed that their data is being used for prospecting, no later than the first contact if the data came from a third party. And they must be able to object simply and at any time to receiving further messages.
Unsubscribing, retention periods, and the risk of penalties
In practical terms, every email in every sequence must include a working unsubscribe link. And the unsubscribe must apply immediately to all scenarios. A contact who unsubscribes but still receives two messages because they were enrolled in another sequence is both a compliance breach and a major irritant.
Retention periods are another blind spot. The CNIL reference framework for managing commercial activities (deliberation no. 2021-131) states that prospect data may be retained for three years from collection or from the prospect's last contact. Your reactivation scenarios must incorporate this limit: beyond it, deletion is required. The good news is that this constraint also serves your interests, because a database cleared of inactive contacts delivers better.
Automation errors can be expensive. In the United Kingdom, the data protection authority (ICO) fined Royal Mail £20,000 in March 2022: more than 215,000 people who had opted out of prospecting received a promotional email because of a process error (source). The company had even reported the incident itself. The lesson is clear: controls must cover automated flows just as much as manual campaigns.
How to overcome marketing automation obstacles to support growth
Lay the foundations before automating.
The obstacles described in this article have one thing in common: none of them can be solved by changing tools. They are about method, organization, and discipline. The order of the work therefore matters as much as its content:
- A clean, synchronized CRM, with lifecycle statuses shared by marketing and sales;
- Segments and personas based on data that is actually populated;
- Mapped journeys, step by step;
- Content produced for each stage and each persona;
- Scenario configuration, last.
Start small, measure, and iterate.
There is no need to aim for thirty workflows in the first quarter. A few simple, well-designed scenarios are enough to demonstrate the value of the system and gain team buy-in: a welcome email, a sequence after a content download, a webinar invitation, and an alert to sales when a prospect reaches the defined score.
Measure the results, correct, then expand. Marketing automation works like a permanent beta: every contact's passage through a workflow leaves traces that help improve the next one.
To help you prioritize, here is a summary of the obstacles, their symptoms, and the first actions to take:
