In general, marketing is of paramount importance for the competitiveness of businesses in the market. After all, this strategy qualifies and differentiates one brand from another, showcasing its true values and seeking to please customers according to their needs.
However, marketing alone, such as on social media, doesn't yield many results without a well-structured sales process. Therefore, in this article we will explore the relationship between these two sectors and how they intersect. Data management is the most efficient way to structure them. Happy reading!
Marketing and Sales: how does this relationship work?
By now, you've probably realized that the sales process is a continuation of marketing efforts, right? For this reason, a well-known term in the field has emerged: vendarketing . When these two areas are well aligned, they can further boost sales volume.
If a business has a marketing structure but no sales, it doesn't offer opportunities to generate leads , for example. This is because not everyone who comes into contact with your business online is convinced by your offer. When working with leads, all it takes is a little "push" to turn them into loyal customers. Without a sales structure, combined with inbound marketing, this process is not possible.
Now let's look at the opposite situation: if a business has a well-structured sales department, but does not have well-defined and strategic marketing processes, sales may even happen, however, the work tends to be much greater! In practical terms, salespeople make a living from cold calls, they can generate friction between themselves due to a lead that got in touch, etc.
Furthermore, there are businesses that simply buy contacts in an attempt to achieve significant results. However, buying contacts is not the best approach, as we don't know what kind of audience is coming from them. For this reason, sales and marketing alignment is extremely important . Even if they are completely different sectors, such as products or services, they can very well relate to each other to obtain joint conversion strategies.
The benefits of this approach are clear. According to a study by the Aberdeen Group, organizations with aligned marketing and sales teams achieve 20% annual revenue growth while companies that do not adopt the strategy have seen a 4% annual revenue drop.
Integrating data analysis into Marketing and Sales processes
Data analysis is the ideal way to bring the two sectors together; through data management and a data-driven culture , we need to create or optimize some important actions. See below:
1. Make communication between the two sectors open
We know that two different groups can develop work better and generate more assertive analyzes for the business if both are willing to communicate.
For this reason, it is crucial that these two sectors promote ways to connect continuously , whether through internal chats , daily meetings, emails, or other related tools. This way, data integration is much more efficient and seamless.
2. Use a Service Level Agreement (SLA) between marketing and sales
A Service Level Agreement is fundamental for integrating sales and marketing. This allows us to gain a better understanding of each department's tasks, their respective results, and how these results intersect.
3. Use technology to your advantage
With increasing technological development, we have seen the emergence of various automated tools to assist us in making decisions based on data analysis and cross-referencing.
To merge marketing and sales results and actions, it makes sense to have ERPs to centralize this data in one place and process it in real time. This allows for the implementation of new strategies to increase results, optimize activities, reduce bottlenecks, and much more.
How to manage data tools?
1. Centralize information
As mentioned in the previous topic, centralizing information is the first step towards managing and analyzing data even more efficiently. This is because, when it comes to marketing and sales , it's quite common for information to be scattered across numerous tools—since we are constantly creating data.
To reduce this dispersion, allow this data to be centralized. This makes it easier to access them, make intersections, etc.
2. Classify information and segment customers
If we are to centralize this information, we also need to keep in mind that this data needs to be categorized and very well organized . For this reason, it is crucial to classify this data in an intuitive and clear way, including name, destination, origin, email, city, frequency, purchase journey, and anything else relevant for clearer organization.
Today, some tools use the sales funnel for this purpose, and can assist with several types of analysis such as descriptive analysis, predictive analysis, prescriptive analysis, and diagnostic analysis. Through databases, this analysis can become an essential marketing strategy for your business, providing data through dashboards and promoting a business intelligence culture.
3. Generate periodicity
Since keeping data up-to-date is important to avoid any discrepancies in future strategies and treatments, it's crucial to establish a consistent cycle. Therefore, try to create a regular update schedule , especially if your business works with an excess of primary data that isn't collected automatically.
In practical terms, you can send emails to customers sporadically so they can update their registration information, thus keeping your database based on real information and within the law, such as the LGPD (Brazilian General Data Protection Law ).
ROAS and ROI: two very important metrics to analyze
In general, we can define that ROAS — acronym for Return on Advertising Spend, or Return on Investment in Advertising — is one of the most important metrics in digital marketing. In this analysis process, this metric is the basis for understanding how much return on advertising a company will have when investing an amount of resources.
However, many people tend to confuse ROAS with ROI (Return on Investment). While ROAS is more tactical , focused on marketing, ROI is strategic , linked to the business objective. In other words, the latter is used to measure the profit generated by ads in relation to their respective costs. In contrast, ROAS measures the gross revenue from the investment, as it is a metric focused on the performance of online ads.
Signing Off
As a digital transformation company, Bytebio can contribute to your business through consultancy in Analytical Marketing. In other words, we will analyze your business data in search of insights and information that can bring more clarity to strategies and, consequently, more efficient actions in the tactical marketing plan, achieving even greater assertiveness in your campaigns and sales.
How to solve certain business problems in your company with Bitrix24? Alone may not be enough. Consulting makes this bridge and fulfills the function of connecting needs and problems to solutions, relying on the experience of our consultants, who already have experience from other cases and business experiences and use of appropriate tools.
Development
We develop applications that can extend your Bitrix24 to other functions specific to your needs or your business. Furthermore, our development team can create parallel systems or integrate existing systems and ensure that all your digital needs are met.
Parameterization and Implementation
we leave the Bitrix24 configured according to the needs of your business, through parameterizations, configurations, customizations and mainly through implementation work, respecting the company's culture and its current situation.
Increase employee adherence to processes and tools appropriate to the company, such as Bitrix24, improving the user experience and internal communication.
Improvement in Project Control
Planning, execution and management of your projects aligned with a fluid process.
Optimization of Internal Processes
Optimization of internal processes, simplification of routines and operational fluidity.
Data-Driven Marketing is a growing trend that shapes the way marketers work. Now it is fully integrated into companies’ strategies, related to Digital Marketing.
Data-driven marketing is no longer an option, but a necessity for companies looking to become agile and efficient in today's market.
The main idea is to make the best use of the data you have already collected. This way, you can better understand your target audience, improve the customer experience, and drive growth.
Data-driven marketing applies to the use of online advertising channels in order to collect user data through specific tools that allow you to track users' actions on websites or applications.
It allows Marketing professionals to be proactive and anticipate market trends, optimizing decision making.
Data is a powerful tool for decision making. But how do you know which data to use?
What should your company measure and analyze to make decisions with an informed approach, beyond just going through the motions of digital transformation or big data analysis projects?
“Data-driven culture” goes far beyond technical skills; It requires cultural changes within each department where those working on behalf establish goals as well as metrics that can also track progress.
Data-Driven Marketing is all about using insights to optimize digital campaigns and improve the customer experience.
This type of marketing approach requires a lot of organization, which is why project managers are so important in data-driven organizations for data analysis.
Check out our page on Data-Driven Marketing to learn more.
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Social networks or WhatsApp
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