new things Flashcards

1
Q

how do we build our intent data set

A

we black label license bidstream data consuming 1.6B records of intent every week across 7M companies across 7K topics. We consume the URL and IP address, then resolve the IP address to a specific company and location and then identify key topics to be consumed.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Vp of sales

A
  • Strategically, with accurate bottom-up TAM and white space sizing, optimizing headcount, and creating equitable territories based on attainable wallet share
  • And Tactically, with opportunity identification and wallet-share sizing, for both new logo targets and customer expansion, ensuring reps are focused on accounts with the highest likelihood to buy and protecting customers showing purchasing interest in competitive solutions
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Channel

A

How we help:

Typically supporting your direct peers, the insights are helping…

  • Strategically, with identifying the optimal partners to be working with by market, region, industry and fully monetizing partner relationships by ensuring partner team are armed with insights allowing them to focus on accounts with the highest likelihood to buy and they’re leading with the most consultative messaging from holistic views into target account infrastructure and IT spend
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

VP Rev ops

A
  • Strategically, supplementing your first party data to be the intelligence bedrock that supports all cross functional GTM departments helping support executive leadership with strategic planning corporate strategy, market sizing and growth forecasts as well as supporting downstream GTM planning teams and frontline execution
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

VP Marketing

A

Strategically, with bottom up TAM sizing, reducing expense to revenue ratios, increasing marketing’s contribution to new logo acquisition, and understanding competitive market share for positioning and improving conversion rates

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

VP Product

A
  • with avoiding the number of product market bets being made avoiding launches that don’t have the amount of market demand as expected, reducing misalignment with GTM teams following launches, and keeping a finger on the pulse of competitive trends for product road map direction, integration strategy, and positioning
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

VP Business ops

A

with on-demand operational views into market size, structure, and addressability painting immediate pictures for where growth, whitespace, and competitive trends and opportunities lie, ULTIMATELY driving efficient resource allocation and reducing GTM process inefficiencies

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

how many documents are we surfacing

A

20 billion raw documents

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

how are we different from 6 sense

A

They have intent we can contextual intent

6 dogs barking up same tree story

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

zoominfo

A

lack accuracy.

lack depth once leaving north America

contacts great

we bridge gap PLAN>OP> Execute

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Slintel

A

contact and intent.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

netapp

A

We helped net app identify 156 million in new opportunities through better understanding their customer IT infrastructure.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

citrix

A

87 mil pipe 10x lead to conversion rates

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

how accurate are you

A

90% is what we hold our self to

Google hade 5 data scientists come and interrogate our data lakes and they found it was about 96%

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

how do you build your data set (spend and install )

A

walmart story

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

how are you surfacing the contract renewal dates

A

10ks industry standards

17
Q

doesnt zoom info collect their data the same way

A

no they web scrape and us server pings to surface their job postings and resumes we currently are surfacing 20 billion raw documents thats were we spend 10s of millions a year

18
Q

TAM SAM SOM=?

A

Fit need intent