Using customer analytics to increase saas revenue

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Transcript of Using customer analytics to increase saas revenue

Customer Analytics to Increase SaaS RevenuesGuy Nirpaz, CEO & Founder

TOTANGOguy@totango.com@guynirpaz

SaaS Model Characteristics

Characteristics of a SaaS Business

Find & Run Model– SaaS should be easily found (‘get found’)– No physical barriers to value realization

Smooth Customer Experience– Frictionless customer engagement processes– User Driven

Self– Service…– Evaluation…– Pace…

Customer Driven Model

The Financials…

CLTV > CACMarketing & SalesCustomer Success

Majority (87%) of SaaS executives regularly track “CAC related” metrics, with a large percentage (58%) adding or planning to add tracking of “CLTV related” metrics in the next year.

1Executives at SaaS companies regularly monitor the following metrics:

Website Unique Visitors

New Signups Conversion Rate (Trial to Paying)

Life Time Value Churn Rates

54% 56%59%

44%

56%

CAC Related CLTV Related

19%

58%Plan to track in the next 12 month:

CAC Related

CLTV Related

5

Customer Engagement Cycle

Measure Cust. Engagement

Analyze Business Context

Proactively Engage

Grow Conversion Rates

SaaS Sales Models

No Touch No sales team. Customer self-service37Signals Yammer MailChimp

Low Touch Inside sales team + Inbound marketingZendesk Hubspot Box

High Touch Enterprise salesJive software Taleo Panaya

Hybrid Models Mix & match

Low Touch Sales - Reality

High volume of leadsFrom Inbound marketing activities

High rate of low quality leads75%+ is not uncommon

Short staffed teamSales-rep responsible for hundreds of new trials

Focus on opportunities that matterUse conversion data to drive contact priority

a

ActivelyEvaluating

(2,136)

3 Things to look at…

Signup(11,332)

Converted(282)

Conversion Rate

2.4%282 out of 11,332

Conversion Rate

13.2%282 out of 2,136

Overall

Actively Evaluating

Considerations…

Signups(11,332)

Converted(282)

ActivelyEvaluating

(2,136)

Calculate conversion after accounts had enough time to convert • Time-based: after trial period

passed• Freemium: (more complicated) A] understand mean conversion time B] conversion analysis by cohort

Who is “Actively Evaluating?”

• Demonstrating “buying intent” by trying out the SaaS offering

• Measuring can be tricky: A] Return visits B] Activated account C] Specific functionality used

Conversion Signals

Conversion Rate

2.4%282 out of 11,332

Entire Population2.4% of ALL trials in May converted (282 out of 11,332)

Evaluating

Conversion Rate

13.1%281 out of 2,136

Had more than 2 days of activity

A smaller segment of the population (2,136 trials) showed a much higher conversion rate (13.1%).

These are all the trials that were active on the service for at least 2 days.

Nearly all converting trials (281 out of 282) exhibited this behavior

Conversion Rate

29.7%92 out of 309

Hot

3 users or more in first 3 days of trial

An even smaller segment (309 trials) had a much higher conversion rate (nearly 30%)

These are all trials that had 3 users join the trial account during the first 3 days of trial

Who to contact?

Evaluating

Hot

Entire Population

TOP PRIORITY

HIGH PRIORITY

LOWER PRIORITY

Your best chance to make a sale!

Contact Rate

33%799 out of 2,136

Contact Rate

41%129 out of 309

Who has the team contacted?

Contact Rate

19%2,179 out of 11,332

Goal: 100%

Goal: 100%

Team’s capacity

Ideal contact target

Ensure Customer Success

Customer Success - CLTV

Shorten Time to Value

Increase Customer Loyalty

Reduce chances of churn

Segment Based on Maturity

Segment by Maturity

New Accounts – Minimize time to value– Ensure successful initial implementation– Monitor Growth and Expansion– Training

Mature Accounts – Ensure on going value– Exposure to new functionality– Sustained engagement– Look for growth opportunities

Examples

Constantly Increase Value

Higher Engagement = Higher Value

What product features are used the most? – Break down by account segment (free, basic, premium)– Break down by lifecycle/maturity (trial, onboarding,

established)

Proactive outreach to accounts with decline or increase in usage

Deep diagnostics into product area that are not resulting in engagement

– Broken UX? Lacking documentation? Low value? – Supplement measurements with customer interviews

(qualitative data)

Conf. Basic Settings

20.5%549 out of 2,675

50%

Invite Team Members

34.4%262 out of 760

21%

Conf. Advance Settings

8.5%216 out of 510

35%

Entire Population

15.5%621 out of 4,002

Trial Onboarding Diagnostics: Example

5%+ conversion when going through basic config, but only 50% of accounts do it.

Optimize UX flow

7%- conversion when going through advanced config.

Improve UX Hide functionality post-

trial

x2 conversion when inviting team!

Improve UX Tutorial / Marketing

Questions?

Guy Nirpaz

Email: guy@totango.comFollow: @guynirpazSkype: guy.nirpaz

www.totango.comblog.totango.com

Contact Me

Thank You!

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