Customer relationship management (CRM) is fast becoming the determining factor for business growth in the e-commerce industry. With so many competitors out there offering the same product line, prospective customers have no incentive to remember your brand, let alone purchase from you. To differentiate your company from a pool of competitors, you need to offer more than just an extensive product range and value for money.
A recent paradigm shift has prompted the concept of Customer 2.0. These customers have entirely different needs compared to traditional consumers. While Customer 1.0 was loyal, traditional and valued face-to-face interaction, Customer 2.0 is quite the opposite - it demands instant gratification, hyper-presence from companies and minimal face-to-face interaction.
To accommodate these needs, many companies are turning to CRM platforms for better customer visibility, seamless third-party integrations and deeper insight to beat the competition, and Salesforce is just the right candidate for the job.
The objective of implementing a CRM system is to improve your understanding of customer needs, but you need to understand the requirements of your internal departments before doing so. To start with, you should assess the requirements of your sales, marketing and customer service departments as they will experience the greatest benefit with your new CRM system.
Customer service – The primary role of customer service is to remediate problems for users. This could be as simple as changing personal details for customers, to escalating more severe issues and managing communications on a user's behalf.
This department will want to offer better customer support experiences with a faster mean time to remediation (MTTR), and automated feedback collection to maintain a proactive approach to customer service. Your CRM system will need to facilitate all of these.
Marketing – With marketing, the objective is to attract customers through advertising, social media and website content generation. Specifically, marketing teams are ideally looking to find loyal prospects that offer a recurring revenue stream for the business.
This department will want the ability to identify high-value prospects and target them with personalized advertising to maximize the chance of a sale. They will need email campaign automation, real-time customer insight and historical reporting to create a marketing formula that works for your business.
Sales – The role of a sales team is to carry prospective hot leads through the sales pipeline and close the deal. In simple terms, they contact customers who are on the fence but ready to make a purchase. Besides highlighting the benefits of your product, the sales teams also allay any concerns to finalize the sale.
Your sales team will want more time at hand to do the core job of selling and less time performing manual tasks. This can be accomplished by automatically cleansing the sales pipeline, thus narrowing the scope of your sales teams' efforts. With Salesforce, you can take advantage of drip campaigns, which automatically contact relevant leads and assess their interest in your product or service. If a prospect is interested, they will be moved up the sales pipeline with a lack of interest moving them down or out of the pipeline. This allows your sales team to prioritize their efforts better and maximize prospect conversion.
Case Study: Salesforce Application Support & Maintenance
Once you understand the requirements of your internal departments, you should then look to visualize the entire sales pipeline. The increased visibility offered by a CRM platform will allow you to categorize prospective customers and assign them to relevant departments.
Geolocation – For global enterprises, prospects in the U.S. should be assigned to your North American operations team, and vice versa. This ensures that your staff speak your customer's language and will be in the office during times of peak demand to answer queries.
Lead temperature – Your CRM system can automate the categorization of customers, and one crucial aspect of this is measuring the potential ROI for leads based on the key data points. A cold lead won’t appreciate a direct phone call from a sales operative, as much as a generic marketing email will be of no value to a warm lead. By categorizing these prospects, you can tailor your marketing and sales approach, increasing the chance of converting prospects into sales through drip marketing.
In a world of big data analytics, it may seem like more data is always better. In reality, a CRM platform will operate more efficiently and offer more targeted insights, if you perform regular data cleansing.
Removing duplicate entries and categorizing customers will improve querying times, but more importantly, it will simplify data compliance management. Keeping your CRM datasets up-to-date will allow for quick and easy data deletion to adhere to the GDPR and CCPA. By regularly cleansing your CRM data, you can also maintain an up-to-date list of fresh, warm prospects, maximizing the potential of marketing and sales initiatives across the business.
We are a leading customer relationship management consulting firm, which has partnered with Salesforce to deliver industry-leading customer relationship management functionality for our clients. Our expert team of consultants can step in at any stage in your digital transformation journey, assessing and implementing leading software and hardware solutions to drive business growth.
Get in touch with our customer relationship management consultants and convert more leads into sales with Trianz and Salesforce today.
Contact Us Today
Finding Hidden Patterns and Correlations Innovative technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) are transforming the way we approach data analytics. AI, ML and NLP are categorized under the umbrella term of “cognitive analytics,” which is an approach that leverages human-like computer intelligence to identify hidden patterns and correlations in data.Explore
What Is an SQL Query Engine? SQL query engine architecture was designed to allow users to query a variety of data sources within a single query. While early SQL-based query engines such as Apache Hive allowed analysts to cut through the clutter of analytical data, they found running SQL analytics on multi-petabyte data warehouses to be a time-intensive process that was difficult to visualize and hard to scale.Explore
The Cloud is the Key to Transformation Success… Transitioning your applications to the cloud is undeniably a critical factor to a successful digital transformation endeavor. It’s more than just a lift-and-shift, however. Let’s explore several things that you need to consider before migrating your applications to the cloud, including: Readiness of your application portfolio Where to begin – the right business case and migration strategy Technology requirements and considerationsExplore
Application Modernization at Speed and Scale Enterprises are pursuing greater application scalability, cost efficiency, and standardization with containerization and virtualization platforms. So, what’s the difference? Containers are a type of virtualization technology that allows users to run multiple operating systems inside a single instance of an OS. They are lightweight and portable, making them ideal for running applications across different platforms.Explore
Container Orchestration or Compute Service? Amazon Web Services (AWS) offers a range of cloud computing services to meet enterprise needs. Included in its service offering is the elastic compute service (ECS) and elastic compute cloud (EC2). Choosing between these two services can be difficult, as one focuses on virtualization while the other manages containerization. In the following article, we will explore the differences between Amazon ECS and EC2 to help you better understand which service is right for your use case.Explore