CRM database: an easy-to-understand guide

CRM database: a guide to understanding it all

Arthur d'Achon
September 25, 2024 - 10 min reading

In the digital and mobile age, CRM tools and databases have become essential to any sales and marketing strategy.

This comprehensive guide takes you on an in-depth exploration of this subject, which is relevant to all businesses. We'll start by defining what a CRM database is, before looking at its benefits, how to manage it, and how to analyze it to maximize its potential. We'll also look at the latest technological advances, such as artificial intelligence, which are transforming this world.

Whether you're a small company or a large corporation, this article will provide you with all the keys you need to understand and master CRM databases.

What is a CRM database?

As a reminder, CRM (Customer Relationship Management) is software designed to manage and analyze interactions with customers and prospects, with the primary aim of increasing sales and improving customer satisfaction.

→ To achieve this, the necessary data must be centralized, stored and organized in a single space: the CRM database.

This essential component of any company's performance needs to be constantly enriched and updated. To achieve this, all employees involved in customer acquisition or retention - whether sales, marketing or customer service teams - need to fill in the CRM.

In short, the CRM database is the strategic asset that guarantees effective, consistent customer relationship management.

Typically, the CRM database also aggregates data from third-party marketing tools and platforms, which can be connected to the CRM viaintegrations. This makes it the sole source of reference for analyzing sales activity, tracking the progress of a costed proposal, or evaluating the results of a marketing campaign.

🔧 Technical operation

A database is an organized system for storing, managing and retrieving information. It is made up of tables with rows (records) and columns (fields), where each record represents a unique element, such as a customer, and each field contains specific information, such as a name or address. In a CRM, these databases store customer contact details, interactions, preferences and purchase histories. CRM uses an interface connected to the database to enable employees to enter, modify and consult this information.

The benefits of quality business data

The CRM database centralizes all information and events linked to the "customer lifecycle", providing the various teams in contact with customers and prospects with a complete and instantaneous view of interactions, current offers, needs and sales proposals, progress in the commercial relationship and any disputes.

The availability of complete, up-to-date, high-quality data is therefore a major challenge for all CRM users, and a key factor in maintaining good commercial and customer relations.

🤝 Sedentary and itinerant sales representatives

Salespeople and telemarketers are the first to benefit from a qualified CRM database. On a day-to-day basis, they reap multiple benefits: 

  • Maximize their productivity;
  • Instantly access customer file histories and personalize their approach;
  • Prioritize and target accounts to prospect;
  • Develop up-selling; 
  • Track leads and generate sales opportunities;
  • Record interactions with customers and prospects;
  • Maintain a transaction history ;
  • Follow up lost prospects and customers.

👩🏻‍💻 Marketing teams

A well-qualified database greatly facilitates the various tasks of marketing, whether in terms of campaigns, segmentation or communications automation: 

  • Segment and target customers;
  • Automate emailing campaigns (BtoB and BtoC);
  • Plan, execute and evaluate targeted campaigns;
  • Understand customer behavior and preferences.

📞 Support and after-sales services

An accurate, up-to-date overview of customer files boosts ticketing efficiency for desk teams. Customer service staff benefit from a complete and up-to-date database, enabling them to process requests efficiently and deliver the best possible experience: 

  • Access the history of customer interactions with the company;
  • Provide more effective, personalized support;
  • Record and track support requests ;
  • Solve problems and ensure ongoing customer satisfaction.

👨‍💼 Leadership and management

In terms of management, the quality of the information stored enables actions to be prioritized according to sales potential and chances of success, in the short, medium and long term.

In addition, a centralized sales information database is used for sales reporting, enabling strategic decisions to be taken on sales policy and sales and marketing strategies.

As we'll see below, advanced analysis may require the recruitment of an expert data scientist to extract, analyze and interpret business data.

Origin and integration of CRM data

Whatever your industry, the quality of your CRM data is crucial: inaccurate or out-of-date information can distort analyses, damage customer relationships, and lead to missed opportunities and ineffective marketing and sales actions.

The main challenge for companies is to benefit from a clean, qualified, structured and up-to-date CRM database. 

To benefit from high-quality sales data in CRM, companies have three main solutions: 

  1. Qualify their files in-house: this requires resources and time. 
  2. Purchasing prospecting files from service providers: this option offers the advantage of acquiring a set of pre-defined data, generally segmented according to specific criteria such as demographics, industry or purchasing behavior. 
  3. Renting files: in this case, companies use data for specific campaigns without owning them. This makes it possible to test new market segments or launch one-off campaigns at lower cost, while accessing data regularly updated by suppliers.

Does CRM come with data?

Generally speaking, CRM is an "empty" tool into which the company has to inject its data. In reality, the integrator assists the customer in collecting, cleansing and structuring its information, in order to incorporate it in a clean and structured way. In the absence of an integrator (nowadays, the big names in commercial software offer SaaS subscriptions from their websites), your databases can also be imported via various file formats.

Sidely: CRM enriched with qualified databases

There is, however, one exception. And if you sell your products in supermarkets, we've got good news for you! 😎

→ When you equip yourself with Sidely CRM, you'll have access to all the supermarket outlets you're targeting right from your first connection.

CRM is implemented with an up-to-date database of pre-qualified establishments. It's up to you to complete and enrich this database with your own information (current sales, assigned area manager, existing distributor, etc.) to make it your own.

This little revolution in the world of CRM gives you a major competitive edge. With a geolocalized database of your prospects and customers, you can optimize your sales rounds

What's more, you can draw on our survey forms designed to facilitate the feedback of field information into your CRM database. Assortment, number of facings, digital holdings, point-of-sale displays, number of events sold, etc. We've thought of everything!

So there's no need to customize your CRM settings, since we've already thought of everything that CPG brands need to manage their performance!

 

Sales data management

Your CRM database is an asset as precious as it is strategic, and guaranteeing its proper functioning and integrity means setting up a maintenance and update protocol.

As a general rule, the CRM publisher (or integrator) is responsible for the scalability of the software's functionalities and for the appropriate documentation.

It's up to you to take care of all the other aspects of the CRM database: 

  • Data update ;
  • Access control and permissions ;
  • Chronic backups ;
  • Ecosystem maintenance (integrations and other impacts on the information system) ;
  • User training and awareness, etc.

💡 Customer and prospect data degrades very quickly. It's essential to carry out recurring updates to prevent your data from becoming obsolete, and thus avoid wasting your sales and marketing resources. In addition, be sure to implement protocols that prevent the creation of duplicates.

🧑‍⚖️ Compliance with data protection regulations

The proper management of a CRM database also depends on its legal compliance with the RGPD (General Data Protection Regulation), which aims to protect the rights of individuals.

The RGPD includes various measures to be integrated into the administration of your crm database:

  • Obtain the explicit consent of individuals to collect and process their data;
  • Allow access, rectification and deletion of data on request;
  • Ensure data portability, allowing individuals to transfer their data to another service;
  • Ensure data security with measures such as encryption and access management, and notify in the event of a breach;
  • Minimize data collection, keeping only what is necessary for a limited period of time;
  • Document data processing activities in a compliant register.

These practices guarantee the protection of individuals' rights and the legal compliance of the CRM base. To delve deeper into the subject, discover everything you need to know about CRM compliance with the RGPD.

🧠 CRM data analysis: objectives and methods

To improve their sales and marketing performance, companies are looking to analyze their CRM databases. AI and CRM-integrated reporting modules serve this purpose, but it's often necessary to call in data analysts to take the analysis a step further.

Analysis objectives

The aim is to extract insights that enable sales and marketing strategies to be redirected. Here are just a few examples of the objectives generally pursued by companies when it comes to CRM databases.

Analysis objectives
Type of analysis Key facts and figures
Sales performance Lead management: quality and progression of leads in the pipeline, bottlenecks;
Sales cycles: average length of sales cycle, comparison between teams, products or market segments;
Sales performance: conversion rates by lead source, product or salesperson.
Customer behavior Behavioral segmentation: customer segments by interaction, buying habits, preferences, etc. ;
Retention and churn: retention and attrition rates, causes of churn;
Customer value: customer lifetime value (LTV), segment profitability.
Marketing campaign effectiveness Campaign ROI: return on investment for marketing campaigns;
Acquisition channels: most effective acquisition channels (email, social networks, SEO);
A/B testing and optimization: analysis of A/B tests (messages, offers, visuals, etc.).

The analysis process

As a general rule, these data analyses are carried out in the following stages.

The analysis process
Phase Description
Defining objectives Define analysis objectives (performance, trends, efficiency etc.) and determine performance indicators (KPIs): conversion rate, average sales cycle, customer lifetime value (LTV) etc.
Data cleansing and preparation Deduplication, accuracy and completeness checks, data segmentation.
Use of analysis tools CRM dashboards, business intelligence tools (Tableau, Power BI, Google Data Studio etc.), and data mining to discover hidden patterns, trends or correlations in data.
Interpreting results and making decisions Identify key trends, successes and areas for improvement, formulate recommendations, and schedule follow-up and reassessment of actions.

Historical development

And for the curious, we end on a note of history!

Sales databases were first introduced to facilitate information feedback, at a time when travelling salespeople were beginning to adopt IT.

With the rise of the web, digital marketing and e-commerce, CRM has become a central tool for customer acquisition and retention. The evolution of customer relationship management (CRM) and the automation of sales and marketing tasks have reinforced the role of databases, which are now the backbone of companies' sales activities.

More recently, big data and artificial intelligence (AI) have further increased the power of information systems, enabling more efficient, automated and personalized customer interactions. The list of fields of action is impressive and growing all the time: 

  • Predictive analysis (e.g. purchasing, risk of termination) ;
  • Automated communication (e.g. emails, lead qualification) ;
  • Chatbots and virtual assistance ;
  • Identifying marketing segments ;
  • Personalized recommendations ;
  • Etc.
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