Using product data to
qualify leads
Emmanuelle
Skala
Emmanuelle
Skala
B2B SaaS Sales Exec, Love start-ups,
Mom of 3 Girls, Runner, Skier, Hot-Yoga
Addict, Work Hard & Play Hard!
@elleskala
The most
successful SaaS
companies have 2
things in common
- they all
leverage..
Tweet this:
“The fastest growing tech
companies INVEST in Word
of Mouth programs
Word of Mouth
Tweet this:
“The fastest growing tech
companies Product Usage
Data for growth”
Product Usage Data
Buyers Do Not Trust Brands
92%of consumers trust earned media, such
as word-of-mouth and recommendations, above all
other forms of marketing (Neilson)
Their Peers Their Experience
Tweet this:
Buyers Trust TWO
things: Their Peers and
Their Experience
Buyers Trust….
The Problem with Lead
Generation…
3 Lead Funnels – All Different!!
Tweet this:
The only leads that
really matter are
referrals and existing
users
Referral
MQLPQL
Creating a
Referral
Machine
How much of your marketing/sales spend
is on generating referrals/word of mouth?
Tweet this:
Q: How much of your
marketing budget is for
Word of Mouth
A: Not enough
You are not getting enough referrals
because….
You don’t Ask
You don’t Motivate
You make it Hard
Community
Content
Social
Online Forums
Meet Ups
Referral Program Reviews
Ask!
Reward Program
Sales & Marketing
3rd Party Sites - G2Crowd etc
Bloggers/Influencers
Analysts
How we do it? Word of Mouth
Lessons Learned – Referrals
1. Map out all the places/times you can “ask”
2. Find out what motivates your users
3. Imbed referrals into their workflow
4. One-Click Referral – keep it simple
5. Company wide effort
6. Go beyond a request for a name….think about all
forms of peer validation/word of mouth
7. Surprise and Delight
PQLs
Are you using your product data used to
trigger conversion/upsell/cross-sell?
1. Data Capture
Features
Users
Usage
Firmagraphic
2. Data Science 3. Define Outreach
Map to ideal customers When to reach out
Who to reach
What to say
How we do it? Product Qualified Leads
PQLs can apply anywhere in the
customer lifecycle
Lessons Learned from Implementing PQL
1. Enlist the help of a Data Science team
2. Identify the groups you want to emulate
3. Think about Triggers – not about scoring
4. Watch how the ICP interacts with your product
5. A/B Test
6. Expose as much data to the reps as you can
7. Use the context to define the conversation
The Sales Person’s Job is to HELP. Not SELL.
Tweet this:
Hey Sellers: It’s your
job to HELP—not
SELL.
Sales is Dead
Product
Marketing
Sales
Customer Success
Thank you
@elleskala

Using Product Data to Qualify Leads: Emanuelle Skala @ SalesLoft RM17:

  • 1.
    Using product datato qualify leads Emmanuelle Skala
  • 2.
    Emmanuelle Skala B2B SaaS SalesExec, Love start-ups, Mom of 3 Girls, Runner, Skier, Hot-Yoga Addict, Work Hard & Play Hard! @elleskala
  • 3.
    The most successful SaaS companieshave 2 things in common - they all leverage..
  • 4.
    Tweet this: “The fastestgrowing tech companies INVEST in Word of Mouth programs Word of Mouth
  • 5.
    Tweet this: “The fastestgrowing tech companies Product Usage Data for growth” Product Usage Data
  • 6.
    Buyers Do NotTrust Brands 92%of consumers trust earned media, such as word-of-mouth and recommendations, above all other forms of marketing (Neilson)
  • 7.
    Their Peers TheirExperience Tweet this: Buyers Trust TWO things: Their Peers and Their Experience Buyers Trust….
  • 8.
    The Problem withLead Generation…
  • 10.
    3 Lead Funnels– All Different!! Tweet this: The only leads that really matter are referrals and existing users Referral MQLPQL
  • 11.
  • 12.
    How much ofyour marketing/sales spend is on generating referrals/word of mouth? Tweet this: Q: How much of your marketing budget is for Word of Mouth A: Not enough
  • 13.
    You are notgetting enough referrals because…. You don’t Ask You don’t Motivate You make it Hard
  • 14.
    Community Content Social Online Forums Meet Ups ReferralProgram Reviews Ask! Reward Program Sales & Marketing 3rd Party Sites - G2Crowd etc Bloggers/Influencers Analysts How we do it? Word of Mouth
  • 15.
    Lessons Learned –Referrals 1. Map out all the places/times you can “ask” 2. Find out what motivates your users 3. Imbed referrals into their workflow 4. One-Click Referral – keep it simple 5. Company wide effort 6. Go beyond a request for a name….think about all forms of peer validation/word of mouth 7. Surprise and Delight
  • 16.
  • 17.
    Are you usingyour product data used to trigger conversion/upsell/cross-sell?
  • 18.
    1. Data Capture Features Users Usage Firmagraphic 2.Data Science 3. Define Outreach Map to ideal customers When to reach out Who to reach What to say How we do it? Product Qualified Leads
  • 19.
    PQLs can applyanywhere in the customer lifecycle
  • 20.
    Lessons Learned fromImplementing PQL 1. Enlist the help of a Data Science team 2. Identify the groups you want to emulate 3. Think about Triggers – not about scoring 4. Watch how the ICP interacts with your product 5. A/B Test 6. Expose as much data to the reps as you can 7. Use the context to define the conversation The Sales Person’s Job is to HELP. Not SELL. Tweet this: Hey Sellers: It’s your job to HELP—not SELL.
  • 21.
  • 22.
  • 23.