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Retention in SaaS What, Why & How Prashanth H N Product Head, Knowlarity Communications

Retention what, why & how

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Retention in SaaSWhat, Why & How

Prashanth H N Product Head, Knowlarity Communications

M E E T

SuperReceptionist

Knowlarity’s cloud based Plug N Play Contact Center Suite

We fix business communications problems using Super Receptionist

Dial 1

Welcome Message

Call connected to extension defined

by you

Dial 2

Calls your business phone

SMS + Email

Receive notification

Listen to call

Custom messages - Advertise, Promote, Product info, Support etc.

Email

Customer

Sales

Voicemail

Lesser wait on calls Big Brand feel

ForYour Consumers

One number for life Delightful experience - Many ways of

connecting with you

ForBusinesses

Big Brand Image for your business!

Never miss a business call!

Record customer calls! Real Time & fast engagement!

Benefits both the business and the consumers

Retention in SaaSWhat, Why & How

1 - 1 + 1 = 1

Unit Retention

Revenue Retention

Key Terms

CACCustomer Acquisition Cost

Churn Rate

LTV/CLV Customer Lifetime Value

CAC Payback

Must read: Practical guide to SaaS Metrics

4 Main Reasons for Retention

Satisfaction

Delight

Success

Switching Costs

Customer Value

CLV = Margin * (1+r)/(1+i-r) - CAC

Levers for Increasing CLV

● Margin ↑● Retention Rate (r) ↑● CAC ↓

Retention is the most influencing & scalable factor

Practical Approaches to calculate CLV Link1 Link 2

How to attack

Feedback

Data Driven

Segment & Serve

Tools

Feedback

● Customer Surveys (various phases)

● Customer Support

● Product Metrics

● Sales/Success

● Customer Interviews

● Social Media

Why churn? (Data)

Too less information to take any action

Source: Churn analysis by Janardhan Prasad

Why ? Again

Break it down further, now getting somewhere

Source: Churn analysis by Janardhan Prasad

Why ? Again & Again

● Stability

● Need Training

Finally Top Reasons

● No onboarding

● Late onboarding

● Not linked with business listing

When Churn Happens ? (Data)

Why 12 & 15 ?

Source: Churn analysis by Gaurav Lakhani

Predict churn with Data

Alerts based on Behaviour #

● Number of sessions

● Number of Calls

● Time spent per session

● Usage across months

● Usage against similars

For Sure High Low

# A mathematical formula with combination of these attributes

You cannot improve what you cannot measure

Good discipline for Data

● Usage Drill down

● Always updated Customer Information

● Granularity & segmentation on feedback

● Link them all (Overwhelming :O )

● Benchmarked v/s Actual

● Periodic review & Actions

Segment & Serve

Spend on these customers

Grow these Customers

Focus on Cost

Fire Them?

Servicing cost

All Customers are not Equal

Credits: Prof. Sundar Bharadwaj

Segment

Demographic

Geographic

Verticals

● SMB

● Enterprise

● Strategic Focus

● India

● Southeast

● EMEA

● e-commerce

● realestate

● Startups

Only You know your customers best #

● Engagement

○ Product driven

○ People, events, success

○ Training

● Product

● On-boarding

● Payments

What drives retention?

# This is what works for us, you need to narrow down to your Top 4

Support● Channels: Chat, Phone, email, Social media

● Tools: Superreceptionist, Freshdesk, Zendesk, Desk, Intercom,

Snapengage, Live chat, Freshdesk Chat, Zendesk Chat

Tools

Engagement● Channels: Chat, Phone, email, Social media, webinars, events

● Tools: Superreceptionist,, Intercom, UserEngage, Resend, Jet link,

mailchimp, Hangout Air

Up sell/Cross sell● Channels: Chat, Product, Phone, FOS

● Tools: Superreceptionist, SugarCRM, Zoho CRM, intercom

Tools more...

Onboarding● Channels: Phone, product

● Tools: Whatfix, Hopscotch, WalkMe

Usage Data● Channels: Product, Support, Integrations, mentions

● Tools: GA, Usage logging (DB), Mixpanel, CrazyEgg, Lucky Orange

Tools more...

Data Analysis & Dashboards● Tools: Metabase, Google Sheets, Google Data Studio, Quicksight