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Are Predictive Journeys moving beyond the hype?

4 minutes, 42 seconds read

Predictive Analytics is disrupting the business-consumer dynamic. To improve engagement with their customers, organizations have begun identifying potential segments (predictive audiences) that are likely to convert with them. Modelling data to learn about the potential ‘new’ customer, their preferences and spending behaviour has already proven demonstrably higher conversion rates and lower churn rates. In fact, the market value for these types of services is expected to touch $12.4B by 2022.

As we transition into a semi-connected world supported by global IoT sensors and devices, the real-time analysis of past and future-probable events is evolving business actions more prescriptive in nature. Every touch or interaction triggered by an individual customer is a data point that is captured, stored and examined for insights. Data is an interminable asset that continues to grow exponentially while storage likewise is getting cheaper each year. With nearly infinite cloud computing and scaling it becomes much easier to process these extremely large amounts of data.

But, are customer journeys actually getting better? Are these journeys still reactive? How much of the world has moved to a predictive-first approach? and, has it really helped CXOs address their business goals? Let’s evaluate the state of real-time predictive trends that are being put to use by global enterprises. 

First, let’s look at some easily identifiable use cases that have some verifiable results.

  • Identity Resolution — understanding the individual persona consistently and accurately across -domain, -device and -channel, while maintaining stringent privacy compliance. This approach typically gives you a singular view of a potential customer. (ex: LiveRamp, Full Contact)
  • Customer Journey Data Integration — data integration transcends the siloed view of traditional web analytics. For these multiple integrations like web, mobile app, email, social media, CRM, call centre, device, etc. are essential to understand customer flow across channels. (ex: FirstHive)
  • Customer Segmentation and User Experience Recommendations — It is done using clustering models to perform highly accurate segmentation creating micro-segments and tracking each customer as they shift from one segment to the other. (ex: Lattice-Engines)
  • Personalization — It marks which marketing campaigns, channels, touches, and behaviours users are responding to, and contributing to a business outcome, using a machine learning-based attribution. (ex: Everage)
  • Lead Scoring, Prioritization & Allocation — It helps identify which leads will convert, churn and which customers will buy one or more products for a cross-sell or upsell. (ex: Mantra Labs LCA, Pardot
  • Automating Prediction & Rule Setting — Use automated machine learning for predictive modelling. Enables rapid iteration cycles. (ex: Nokia, DataRobot)

The total number of journey interactions the world over is an unquantifiable number. It is predicted, though, that there will be nearly 2MB of data created by every individual in 2020, every second. With all this data to go around, why are companies so invested in them? It’s because customer experience has become the number one marketing activity of 2019, and will continue to rank highly over the next five years. 

In fact, Gartner predicts by 2019 more than 50% of organizations will redirect their investments to customer experience innovations. For SaaS enterprises, there is a lot to gain. Research indicates CX initiatives can double an organization’s revenues within 36 months, and this extra share will come from the customer’s wallet. Good CX will create real value for your customers, which means they will spend more.

According to Accenture, 87% of organizations agree on traditional experiences no longer satisfy customers. To counter this, Businesses are now investing in customer journey management. Interestingly, insurance (39%) is showing the highest adoption rates outside of retail (42%). The tech industry comes up third behind them at 7%. 

Customer journeys are orchestrated into three: Acquisition, Conversion and Growth. Majority of journeys are identified as growth journeys (64%), and typically run for nearly 34 months on average.

Has it made a difference in Experience?

Yes, and there’s data to support it.
The predictive journey allows businesses to place real-time marketing bets on the behaviour of the customer. We don’t have to look any further than the example of Netflix and its impressive predictive recommendation system. Almost 80% of the content watched on Netflix is attributed to recommendations. A robust predictive analytical engine working behind the scenes is able to perform two critical aspects of the customer life cycle: Needs forecasting and churn reduction. The system is estimated to save Netflix at least $1 billion each year in customer retention.


What about the Impact to Business Goals?

The short and long answer is yes.
According to a salesforce study, the key to building highly personalised journeys begins with predictive intelligence. The report found on average, predictive intelligence recommendations influenced 34.7% of total buys. The lift in conversion rate within the first 36 months is around 23%, which is significantly high. Imagine what 23% more in conversions can do for any business. The real value from predictive intelligence is that it gets more intuitive with time. After 36 months of implementation, there is 40.3% more influence in revenue from this technology.

Continuous Predictive Learning Model
Continuous Predictive Learning Model

For future engagements, customers want businesses to proactively reach out to them and offer them tailored products and services that will be highly relevant to their needs. On the other hand, businesses prefer to study their consumers by looking at their data under the strict regulations enforced in data privacy laws — because it will certainly avoid long term risk to their business models. The results are clear: A predictive journey is the only way forward. 

Mantra Labs is an Insurtech100 company creating AI-first products and solutions for the evolving digital enterprise. To learn more about how we are using predictive journeys to create the Internet of Intelligent Experiences, reach out to us on hello@mantralabsglobal.com

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Empowering Frontline Healthcare Sales Teams with Mobile-First Tools

In healthcare, field sales is more than just hitting quotas—it’s about navigating a complex stakeholder ecosystem that spans hospitals, clinics, diagnostics labs, and pharmacies. Reps are expected to juggle compliance, education, and relationship-building—all on the move.

But, traditional systems can’t keep up. 

Only 28% of a rep’s time is spent selling; the rest is lost to administrative tasks, CRM updates, and fragmented workflows.

Salesforce, State of Sales 2024

This is where mobile-first sales apps in healthcare are changing the game—empowering sales teams to work smarter, faster, and more compliantly.

The Real Challenges in Traditional Field Sales

Despite their scale, many healthcare sales teams still rely on outdated tools that drag down performance:

  • Paper-based reporting: Slows down data consolidation and misses real-time insights
  • Siloed CRMs: Fragmented systems lead to broken workflows

According to a study by HubSpot, 32% of reps spend at least an hour per day just entering data into CRMs.

  • Managing Visits: Visits require planning, which may involve a lot of stress since doctors have a busy schedule, making it difficult for sales reps to meet them.
  • Inconsistent feedback loops: Managers struggle to coach and support reps effectively
  • Compliance gaps: Manual processes are audit-heavy and unreliable

These issues don’t just affect productivity—they erode trust, delay decisions, and increase revenue leakage.

What a Mobile-First Sales App in Healthcare Should Deliver

According to Deloitte’s 2025 Global Healthcare Executive Outlook, organizations are prioritizing digital tools to reduce burnout, drive efficiency, and enable real-time collaboration. A mobile-first sales app in healthcare is a critical part of this shift—especially for hybrid field teams dealing with fragmented systems and growing compliance demands.

Core Features of a Mobile-First Sales App in Healthcare

1. Smart Visit Planning & Route Optimization

Field reps can plan high-impact visits, reduce travel time, and log interactions efficiently. Geo-tagged entries ensure field activity transparency.

2. In-App KYC & E-Detailing

According to Viseven, over 60% of HCPs prefer on-demand digital content over live rep interactions, and self-detailing can increase engagement up to 3x compared to traditional methods.
By enabling self-detailing within the mobile app, reps can deliver compliance-approved content, enable interactive, personalized detailing during or after HCP visits, and give HCPs control over when and how they engage.

3. Real-Time Escalation & Commission Tracking

Track escalation tickets and incentive eligibility on the go, reducing back-and-forth and improving rep satisfaction.

4. Centralized Knowledge Hub

Push product updates, training videos, and compliance checklists—directly to reps’ devices. Maintain alignment across distributed teams. 

5. Live Dashboards for Performance Tracking

Sales leaders can view territory-wise performance, rep productivity, and engagement trends instantly, enabling proactive decision-making.

Case in Point: Digitizing Sales for a Leading Pharma Firm

Mantra Labs partnered with a top Indian pharma firm to streamline pharmacy workflows inside their ecosystem. 

The Challenge:

  • Pharmacists were struggling with operational inefficiencies that directly impacted patient care and satisfaction. 
  • Delays in prescription fulfillment were becoming increasingly common due to a lack of real-time inventory visibility and manual processing bottlenecks. 
  • Critical stock-out alerts were either missed or delayed, leading to unavailability of essential medicines when needed. 
  • Additionally, communication gaps between pharmacists and prescribing doctors led to frequent clarifications, rework, and slow turnaround times—affecting both speed and accuracy in dispensing medication. 

These challenges not only disrupted the pharmacy workflow but also created a ripple effect across the wider care delivery ecosystem.

Our Solution:

We designed a custom digital pharmacy module with:

  • Inventory Management: Centralized tracking of sales, purchases, returns, and expiry alerts
  • Revenue Snapshot: Real-time tracking of dues, payments, and cash flow
  • ShortBook Dashboard: Stock views by medicine, distributor, and manufacturer
  • Smart Reporting: Instant downloadable reports for accounts, stock, and sales

Business Impact:

  • 2x faster prescription fulfillment, reducing wait times and improving patient experience
  • 27% reduction in stock-out incidents through real-time alerts and inventory visibility
  • 81% reduction in manual errors, thanks to automation and real-time dashboards
  • Streamlined doctor-pharmacy coordination, leading to fewer clarifications and faster dispensing

Integration Is Key

A mobile-first sales app in healthcare is as strong as the ecosystem it fits into. Mantra Labs ensures seamless integration with:

  • CRM systems for lead and pipeline tracking
  • HRMS for leave, attendance, and performance sync
  • LMS to deliver ongoing training
  • Product Catalogs to support detailing and onboarding

Ready to Empower Your Sales Teams?

From lead capture to conversion, Mantra Labs helps you automate, streamline, and accelerate every step of the sales journey. 

Whether you’re managing field agents, handling complex product configurations, or tracking customer interactions — we bring the tech & domain expertise to cut manual effort and boost productivity.

Let’s simplify your sales workflows. Book a quick call.

Further Reading: How Smarter Sales Apps Are Reinventing the Frontlines of Insurance Distribution

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