Annik research overview healthcare

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Strategic Analytics Brand AnalyticsHealth insurance

AnalyticsPeriodical Data

Analytics

Pricing strategy

Market segmentation

Marketing Mix optimization

Communication strategy

Competitive landscape

Usage & Attitude

Brand health monitoring

Brand equity

Brand loyalty

Impact analysis

Doctor engagement

Preference share analysis

Predictive analytics

Churn analysis

Dose algorithm

Therapeutic overlap analysis

QoL analysis

Cohort analysis

Epidemiology analysis

KPI Reporting, dashboards and insightful analytics

Business Analytics - Overview


Improve Customer RetentionIncrease Customer Share of WalletIncrease Customer Upsell/Cross-sell

Increase Market Share

Optimize Product/Offer Features and Functions to Increase Market Adoption

Optimize Product/Offer Price Structure

Identify Target Market Customer Segments

Customer Loyalty

Price Sensitivity and Product Optimization

Advertising Effectiveness

Product Forecasting

Increase Product/offer Sales

Segmentation

Brand Positioning

Predict Product Growth Rates

Correspondence analysis/perceptual map

Time series forecastingMultiple regression analysis

Factorial ANOVAChi-SquareCluster/Principal component/Factor analysis Discriminant analysisCHAID

Conjoint

Fishbien modeling

Max Diff

Multiple regression analysis

Understanding the underlying dynamic which leads to clear business insights.

Logistic regression analysis

Structure Equation Modeling

Analytics Marketing Objectives Business Outcomes

Discrete Choice Modeling

Business Analytics - Overview (cont’d)


• Pulmonary Diseases• Cardiovascular Diseases• Mind Disorder Diseases• Oncology• High blood pressure• Osteoporosis / Osteopenia• Restless Leg Syndrome• Asthma• Diabetes• Anti-infective• Anti Viral• Pain and analgesic• Over active bladder• Chronic hepatitis B (CHB)• Men and Women Health

Business Analytics - Therapeutic Areas worked


Understanding and building patient flow or pathway through the health system to identify critical elements in buying process or prescribing decision. This helps identify opportunities for products, points of patient segmentation, points of promotions and other valuable pieces that contribute to understanding of landscape.

Correspondence Analysis

Questions we help address: How are we perceived relative to our competitors in the marketplace? What are our brand image strengths and weaknesses? Does our brand image reflect key elements of our brand communications strategy?

Price sensitivity and market share

(Conjoint Analysis)

Help answer the questions:• What prescription share will I lose on the arrival of a new competitor?• How price-sensitive is my market?• How will my new product cannibalize share of existing products?• How can I segment the market in terms of benefits/products/service needs?`

Business Analytics - Glimpse of analytics


Helps in understanding what physicians say is important, is consistent with what motivates them to prescribe.

By plotting attributes on a quadrant according to their relative stated importance and the degree to which the marketplace perceives the need as met by current agents, opportunities and gaps in the market can be identified.

Need Gap Analysis

Market Segmentation

Helps in:• Classifying the market according to need and behavior• Understanding the characterization of different market segment • Identifying immediate target market and long term prospect

How does the launch of a new product influence the patients behavior and physicians prescription behavior towards the other brands?What is the switching to competitive brands?Why is the switch happening?

Brand Switching Analysis

Business Analytics - Glimpse of analytics (cont’d)


Research

er EyeCommissioned

Thorough survey reviewComplete survey stress testEmail testingClose monitoring

Programming

Peer reviewNative translator review

Translation

Respondent “traps”Intensive monitoringData checkTracking and wave comparisons

Field

Data structure checkData ValidationOpen end check

Domain expertsLeveraging technology for efficiency and accuracy Data output

Tables & Charts

Project Set-up

Field

Dat

a D

eliv

ery

SLA Measures

TAT

Defects

Delays

CSAT Scores

FTR

Dedicated PM

Kick-off callConfirmation of project specifications

Test LinkInteractive Process

Certified vendorsInteraction with native translator

vReal time monitoring

system

Preliminary data Data structure and

format agreement

Agreement on planInteractive process

Transparency, Quality and SLA


Business Challenge

Research approach

Analytics Solution

Key findings

Research Solution Architecture

The client was evaluating the potential development of compounds for the treatment of hypertension.

The client was interested to determine the most effective launch position for two composition of hypertension drugs among physicians who prescribe antihypertensive medication.

The study was designed to give a complete understanding of : • Mapping hypertension patients• New product receptivity• Attribute importance and performance• Dose algorithm with first, second and

third level titration for different cases

The study covered 160 interviews divided upon General Practitioners, Cardiologists and Nephrologists.

• Appeal and likeability of new product• Relevance of launching new product

under present circumstances• Where the new product stands vis-à-

vis competition• Drivers and motivational factors of

doctors to prescribe antihypertesion drugs

• Patient flow and dose algorithm for different level of titration

• Maxdiff analysis

• Correspondence analysis

• Multiple regression analysis

• Need gap analysis

• Patient flow analysis

Questionnaire design catering the study objective

Sample design & procurement through panel

On line survey programming

Coding, Data processing and analysis

Advanced Statistical analysis

Report writing & strategic recommendation

4 Blocker

Case study - Patient flow analysis for a hypertension product


Business Challenge

Research approach

Analytics Solution

Key findings

Clients brand was experiencing some penetration and volume declines as competitive brand grows. Client wants to test health and packaging claims nationally to understand which claims or combination of claims have the most effect on choice and which will be most able to arrest brand share loss to competitive brand.

The study was designed to give a complete understanding of :

Which elements of the brand proposition most effectively drive purchase interest across client brand and competitive brands. This identifies the “hot buttons” that need to be effectively managed.

The study covered 1200 interviews Canadian, nationally representative excluding territories with an emphasis on Quebec, which account for more than 50% of client brand volume

• Identify, within each of the claim types which claims are strongest.

• Generate the combination of claims that will strengthen client brand purchase interest.

• Understand the strength of current competitive claims vs. the potential claims

• Conjoint Analysis

• TURF

4 Blocker Research Solution Architecture


Sample design

Data collection




Case study - Product mix optimization, effect on choice


Business Challenge

Research approach

Analytics Solution

Key findings

Research Solution Architecture

The client was evaluating the potential development of INCS product for the treatment of allergic rhinitis .

The client was interested to explore physicians treatment algorithm, attitudes and behaviors when it comes to managing allergic rhinitis

The study was designed to give a complete understanding of : • Current Rx patterns for the patients• Current unmet needs• New product receptivity• Impact of insurance coverage

The study covered 225 interviews divided upon General Practitioners, Respirologists , Immunologists and Otolaryngologists

• Appeal and likeability of new product• Relevance of launching new product

under present circumstances• Where the new product stands vis-à-

vis competition• Drivers and motivational factors of

doctors to prescribe INCS drugs• Insurance coverage pattern and

impact on prescription

• Maxdiff analysis

• Correspondence analysis

• Multiple regression analysis

• Need gap analysis


Sample design & procurement through panel

On line survey programming




4 Blocker

Case study - Physician treatment algorithm for new product development


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