Health Technology, Digital Healthcare
Article | September 7, 2023
Your sales cycle encompasses every action you take to close a new customer as a salesperson. But there is a possibility for the sales cycle to be confused with sales methodology. Sales methodology is a framework in which one practices a sales cycle. Whereas the sales cycle is the step-by-step process of you, as a salesperson, to close a deal with a client.
Piper Drive, a sales CRM and pipeline management platform defines a sales cycle as the series of predictable phases required to sell a product or a service, and that sales cycles can vary greatly among organizations, products, and services, and no one sale will be the same.
Especially with the healthcare industry, a thorough understanding of your health tech sales cycle will make your sales operations more efficient. Shortening the sales cycle without an up-front investment for sales is one of the critical healthcare sales and marketing goals. If you shorten your health tech sales cycle, you get more time to make additional leads. This will ultimately result in having an improved bottom line.
A faster and shorter sales cycle can bring you more advantages in the competitive sales world of your industry. It will indeed allow your company to grow its business by improving market share. Have you ever thought, as a salesperson, about the effective ways to shorten the health tech sales cycle? This article mainly focuses on proactive ways to shorten your sales cycle and improve profitability.
Challenges of Long B2B Health Tech Sales Cycle
According to Marketing Sherpa, a market research institute, the length of the sales cycle can vary from industry to industry. Comparatively, the health tech industry has a longer sales cycle. Still, there are many effective ways to shorten it and bring a positive impact on your sales process.
In general, B2B sales take a lot of time to maintain. Thus, the B2B health tech sales cycle takes even months to close a sale with a prospect and faces many challenges in the process. Some of the challenges you may face, as a health tech salesperson, can be the following on the process:
Turning the Lead to a Sales-Ready Prospect
No health tech salesperson will find a lead ready to make the sale without any persuasion from you. In the health tech sales cycle, lead nurturing should be your best bet to convert a prospect.
With longer sales cycles, it won't be easy to nurture a lead all through the process and make a sales-ready prospect. It would be easier to convert leads when they are ready if you keep in touch with the prospects. People often find it difficult to do so in the long health tech sales cycle and end up not converting potential clients into happy customers.
Maintaining Engagement Over Time
The sales team keeps converting leads on their radar. As days and months pass, it is challenging to memorize each prospect you have interacted with. Neglecting them brings nothing to your business.
It can be a juggle to balance new prospects with existing SQLs. Older ones may get lost in the weeds as new leads come in. No one can tell which one is a higher priority. Whom will you pay more attention to and for how long? It can be a severe obstacle in the long B2B health tech sales cycle.
Keeping Your Sales Team Energized
If your sales team is not engaged with the process itself and enjoys it, they will have a more challenging time dealing with leads. It is a fact that, unfortunately, salespeople can become frustrated or bored due to working with difficult and hesitant leads.
As the health tech sales cycle drags on, it is tough to remain emotionally calm. If you have no strategies to energize them promptly, apathy or discouragement may come into play.
Ensuring Marketing and Sales Alignment
Lack of communication between the sales and healthcare marketing teams can pose the most detrimental challenges. It can impact the health tech sales cycle seriously. This loss of alignment between marketing and sales can hurt lead nurturing and lead to further difficulties like the ones listed above.
When the two teams move out of sync, it often requires a lot of effort to get them on the same page again. These teams can work separately with decisions and different goals, but it would not benefit the entire company.
Five Stages of the Typical Sales Cycle
It is better to understand the five stages of the health tech sales cycle to comprehend how the sales cycle comes into play completely.
Prospect
This is the stage where the sales team attracts leads and listens to them, and learns to offer what they need.
Connect
This is the stage for you to get leads to move forward with your offers. You can utilize all the data you have amassed during prospecting.
Research
As a salesperson, this is when you learn about leads and determine whether the prospect intends to buy.
Present
In this stage of the health tech sales cycle, you offer your product or services as an effective solution for your lead's pain points.
Close
It’s a fit! By now, you know if your lead wants your product or service and move forward.
Benefits of Shortening your Sales Cycle
A shorter health tech sales cycle allows you to meet more prospects within the same time frame. For example, if you take one week for each prospect to complete the cycle, you can meet more people than with a two-week average life cycle for a single prospect. As you meet more people, it allows you to make more money. Moreover, most of the prospects prefer to have shorter sales cycles provided that you fulfill their need and solve their problem.
However, even with a short health tech sales cycle, you should have an effective method to track sales information. Along with a short sales cycle, an effective method will increase your team’s efficiency and sales numbers. You will make more profits and improve your sales cycle.
Ways to Shorten your Long Health Tech Sales Cycle
One of the significant challenges faced by healthcare technology salespeople is shortening their health tech sales cycle. Unlike B2C, the B2B process of sales has to deal with many decision-makers and educate them about the value of your products. Typically, it takes a lot of time and effort to convince your prospects that your solution is customized to meet their unique needs.
However, your health tech sales cycle can become agonizingly long as each prospect can have a different perspective about your solution. It can also occur due to the number of people involved in the decision-making in B2B companies. According to the latest Demand Gen Report, the buyer’s journey is getting more complicated and longer. This makes the sales process worse, which is already tedious.
However, the good news is that you can follow these marketing strategies to shorten your health tech sales cycle tactically.
Understand Your Buyer Personas
Keep yourself away from trying to engage the wrong people. This will not bring you any results in the end. Before commencing the sales process, you should have a clear idea of who your targeted audience is. The decision-makers or influencers in the organizations you are targeting are your buyer personas.
After identifying your personas, by answering the following questions, you can outline their qualities:
• What are their goals?
• What are their responsibilities?
• What trigger drives them to buy?
• What problems are they dealing with?
• How do they like to research?
• What inhibits a purchase?
As you answer these questions, you will get a clear idea of the best way to approach them.
Send an Introductory Video
The prospects get to know the salesperson only in the in-person meeting. So before the in-person meeting, you can consider sending them an introduction video. This would add value and explain why you are interested in them with a ‘call-to-action. It creates familiarity by the time you connect with them. This is a very creative step to shorten your health tech sales cycle.
Provide Pre-Sales Appointment Content
Having a sales appointment with a prospect, who does not know anything about your solution, is one of the biggest mistakes you can make in your health tech sales cycle. This means you may have to have several meetings to convince the client. This problem can be eliminated with a lead nurturing email with informative content. This email can have a link to an informative blog about your product, which was written previously. It will make them peruse your website before the actual sales meeting with you. It saves your time by eliminating many meetings to educate the prospect about your product.
Provide Post-Sales Appointment Content
The prospect is expected to come out with some concerns and objections after the first sales appointment. As a healthcare tech company salesperson, it is your responsibility to eliminate all those obstacles by addressing them strategically. Sending follow-up emails, videos, and case studies helps address those concerns. The content can be used to guide other prospects too. Overcoming these obstacles with effective content can shorten your health tech sales cycle effectively.
Come Clean with Pricing
Pricing of your products can be one of the main concerns for your prospects. Many salespeople address it only at the last stage of the health tech sales cycle. Not revealing the price at the beginning will only lengthen your process. Moreover, it may result in losing trust in you. Be transparent and reveal the price, to save yourself from such issues.
Leverage Social Proof
One of the smartest ways to win the trust of your prospect is to provide social proof. It will also make the deal close sooner. The best social proofs are case studies with the impact of your products or ROI. Remember to make that the company featured in the case study is similar to the particular prospect's company.
In the health tech sales cycle, it is crucial to thoroughly understand the prospect. Your sales cycle should connect with the process of lead nurturing, where you act as an advisor. This will also help you build trust with the prospects and increase your chances of closing the deal before the expected time.
Executing all of these alone would be challenging. At Media7, we help companies market their healthcare technology product with innovative strategies and support by implementing these strategies effectively. Our strategies help attract prospects, convert them and turn them into your happy customers forever. To know more about us, visit https://media7.com/
Frequently Asked Questions
What are the stages in the health tech sales cycle?
B2B health tech sales cycles include seven main stages. They are sales prospecting, making contact, qualifying the lead, nurturing the lead, making an offer, handling objections, and closing the sale. Following these steps help a salesperson to close the sale effectively.
How does the health tech sales cycle help?
The health tech sales cycle helps you identify potential clients and nurture them through the process of sales. It makes you effectively and efficiently guide your clients and gives them the confidence to go forward with more effort.
What are the best practices for the health tech sales cycle?
The best practices for the health tech sales cycle can be attracting more prospects through content marketing, building trust by understanding clients better, focusing on your customers' clients, and knowing the prospect’s organizational chart.
Why is the sales cycle important in health tech?
The sales cycle in the health tech industry helps the sales managers to forecast the accurate picture of your sales. This because they know where your salespersons are in the sales cycle. It also gives a clear picture of how many deals your salespeople close out of a given number of leads.
Read More
Digital Healthcare
Article | November 29, 2023
Artificial Intelligence or AI has attained continuous evolution over the years and witnessed widespread adoption across major industries of the globe. The Forbes report of December 2021mentions that the number of AI startups since 2000 has increased 14 times, and investments in AI startups have grown six times. It underlines the fact that the AI industry, powered by its path-breaking developments and innovations, has always been an attractive and trending option in the market.
Within a very few years, AI has taken over different segments of healthcare like wellness, early detection, diagnosis, decision making, treatment, research, training, public health functions (surveillance and outbreak response), virtual care etc. A study by Accenture claims that AI-enabled devices and gadgets meet 20% of the clinical demands, and this has reduced the unnecessary visits to hospitals by a great number.
Applications of AI in healthcare is broadly categorised into 3 segments, namely, Patient-oriented AI; Clinician-oriented AI; and Administrative-oriented AI. The transformative role of AI in healthcare is undeniable, as it scripts new journey for patients and practitioners, alike.
According to Healthcare IT News, 63% of the research subjects agree to the observation that the devices and machinery enabled by AI have provided excellent value to the specialty healthcare divisions like radiology, generic pharmacy, pathology, etc.
The rapid growth of AI in highly delicate domains like healthcare calls for great promise to accelerate diagnosis and treatment. At the same time, it also puts ethics, patient safety and privacy concerns at the heart of it; thereby calling for a framework of governance. Gartner report of July 2019 predicted the application of AI in more than 75% of the healthcare delivery organizations (HDOs) around the globe.
Since most of these HDOs are new to adopting and applying AI-enabled machinery and services, AI governance is crucial to prevent the actions that may lead to errors, misjudgements and further chaos. Moreover, the degree of variance in the application of AI is high, and therefore it is not advised to implement the AI mechanisms without proper guidance or governance.
From AI-enabled smart bands to pacemakers, the range of devices and gadgets offered by the AI industry is simply remarkable. The implementation of AI in the healthcare sector has proven to be highly effective in drastically reducing the scope of slipups. Moreover, AI has also facilitated early detection of illness with the help of daily use gadgets and devices in a smart way.
At this juncture, it is equally important to create data governance framework that ensure ethical principles are applied to patient, providers and payers’ data. Further, AI initiatives by healthcare providers should be created using transparent protocols, auditable methodologies and metadata. These technologies should do no harm, reduce biases and help patients make informed decisions about their care.
A significant part of AI governance also lies in change management. To build trust towards AI’s adoption across the healthcare ecosystem, there should be a dialogue between clinicians, scientists, technologist and end-users. Such discussions will address the opportunities, value and investment, including concerns across the stakeholders.
In fact, prominent think tanks suggest healthcare providers to establish an AI Governance Council to monitor the value, investment and use of strategic AI capabilities. Some of the crucial roles and responsibilities for the Council include addressing legal and regulatory compliance; clinical evaluations; ethical usage guidelines and organisational deployment of AI across the system.
AI is indeed a revolutionary technology that has huge surprises up its sleeves for the future. But exploring new frontiers comes with its fair share of challenges. Establishing appropriate governance over AI implementation and initiating a conversation around the ethical implications and regulations as well, will play a fundamental role in the introduction and scale-up of AI in healthcare.
Read More
Healthtech Security
Article | November 29, 2023
Contents
1. Alexa, Are You There?
2. Digital Assistants-Cum-Doctor-Assistants
3. Toward An AI-Friendly Life!
1. Alexa, Are You There?
If Siri, Alexa, Google Now, or Cortana are your friends, you do not need any special introduction for today’s topic! This is because these digital assistants have become part and parcel of our lives; from completing our minimal tasks to helping us solve our problems, they make our day-to-day life simpler and more manageable. Popularly called AI, Artificial Intelligence is the simulation of human intelligence processes by machines. Similarly, Machine Learning, also called ML, is the capability of a machine to imitate intelligent human behavior.
2. Digital Assistants-cum-Doctor Assistants
The unpredictable pandemic years, which took thousands of lives, depict the rise of complexities in the healthcare industry. To deal with such cases in the future tactfully, the healthcare segment needs to be proactive and implement advanced technologies to detect, resolve, and prevent untimely death. Modern technologies such as Artificial Intelligence and Machine Learning help the medical fraternity perform tasks usually done by humans quickly and accurately, saving much time that can be utilized elsewhere.
Let’s take a quick tour of how AI and ML can boost the healthcare industry:
Artificial Intelligence can broadly scan patient databases or consult patients via a chatbot or online support system to understand their symptoms, send data to doctors, and get real-time diagnoses and prescribed medicines.
Machine Learning, a subset of AI, can replace traditional processes with a supervised one, as in, a patient can be treated based on similar symptoms and treatment of other patients. The process requires a quick scanning of the database, which can be time-consuming if done by human effort.
Taking technology by storm, patients suffering from neurological disorders can be treated via Brain-Computer Interfaces (BCI) backed by AI. With the help of this technology, normal bodily functions, such as the ability to move, speak or react, can be restored. It can also assist doctors in treating patients with strokes, locked-in syndrome, etc.The healthcare segment is revolutionizing, as sensitive operations such as heart surgery are being performed with robotic precision and control with AI-based algorithms. For this purpose, precision machine learning processes are being used to train robots and improve accuracy.
AI can also help in digital pathology. Instead of placing separate slides or tissue blocks and observing them manually, pathologists can do it via AI, which can help analyze digital slides using image analysis and machine learning.
3. Toward an AI-friendly Life!
If you never forget to wear a smartwatch, track daily steps, get water intake notifications, eat mindfully, and consistently monitor pulse rates, then you are already AI-friendly! You have successfully incorporated AI into your life and taken the first step towarda healthy life!
Read More
Health Technology
Article | August 12, 2022
Introduction
Over the past couple of years, there has been a substantial rise in the burden of chronic conditions and treatment costs, along with the growing elderly population, which is transforming the healthcare sector at a rapid pace. As per a study, healthcare spending across the globe is anticipated to reach an unprecedented value to total US$ 18.3 trillion by 2030. In response to these trends, volume-based payment models are being replaced by outcome- or value-based models.
Predictive analytics helps health organizations to get in line with these new models and improve patient care and outcomes. From predicting critical conditions such as heart failure and septic shock to preventing readmissions, the recent advancements in big data analytics are boosting the adoption of new predictive analytics solutions that aid clinicians improve outcomes and cut costs.
Predictive analytics in healthcare is most helpful with clinical care, administrative tasks, and managing operations. More importantly, the technology is already making a difference in a wide range of healthcare settings, from small private doctor's offices and large academic hospitals to healthcare insurance companies.
How is Growing Healthcare Data Favoring the Penetration of Predictive Analytics?
The growing inclination toward digitalization in the healthcare industry has led to the creation of huge new data sets. These include radiology images, electronic medical record (EMR) systems, lab results, and health claims data. The amount of data is expected to reach new avenues with increasing genomics and cytogenesis research data in the near future.
New data is being generated and collected by the novel medical devices at the edge, such as monitors and patient wearables. In addition, outside the healthcare setting, patients are generating quasi-health data through the use of health monitoring applications, fitness trackers, and personal wearable devices.
By using data from these sources, health care providers can find new ways to use predictive modeling for health risks, predictive analytics for medical diagnosis, and prescriptive analytics for personalized medicine.
Predictive analytics has become a crucial component of any strategy for health analytics. Today, it's an essential tool for measuring, combining, and making sense of biometric, psychosocial, and behavioral data that wasn't available or was very hard to get a hold of until recently. Here are some of the applications of predictive analytics for healthcare
Identifying Patients at Risk
Clinical Predictions
Disease Progression and Comorbidities
Predicting Length of Stay
Speeding Treatment of Critical Conditions
Reducing Readmissions
The Future Story
With the growing prominence of innovative technologies across the healthcare industry, a number of health IT providers are focusing on developing their own analytics software and engines to assist healthcare spaces deliver optimal patient care.
For instance, in 2020, Eversana, a U.S.-based provider of innovative solutions to the life sciences industry, announced the introduction of its ACTICS predictive analytics solution, which enables clinical spaces to combine multiple data sources into a single comprehensive system.
Also, some U.S. companies are partnering with healthcare institutions to develop proprietary algorithms designed to enhance organizational performance, improve clinical care, and increase operational efficiency. Such developments are projected to increase the popularity of predictive analytics solutions in the healthcare sector in the coming years.
Read More