Site Deck of Attentive

2. 2|
Problem
For some, this is actionable information that can make or break deals -
like a sales rep knowing that there is a new CMO at a potential lead.

3. 3|
Problem
Manually setting
Google Alerts
Randomly browse
on Linkedin
Quick look on
Salesforce before
the meeting
Right now, they have to rely on luck to find that intelligence:
What if you have 100s of leads?
How do you filter the noise?
You have to have the contacts on
Linkedin, can’t get alerts based
to your CRM
Can’t action on the information to
improve, doesn’t use external
sources

4. 4|
Recent example
“Daniel - We have trouble keeping track of our
[Techstars] companies activities. Yohei thought you
might have a solution to this issue. I'd appreciate
hearing about your solution.”
- Tony Schouse, Director of Finance at Techstars

5. 5|
Solution
We want intelligence to come to you,
instead of you looking for it.

6. 6|
Core Technology - what makes us different?
Our team has developed a machine learning engine that detects companies and people in any
unstructured text (such as news articles), so that we can then extract the key insight.
How current intelligence
solutions work:
1. Static databases
2. Logins into their platform
3. Manual searches
How Attentive works:
1. Engine is always crawling new sources
and adding new insights
2. Works with their current software
3. Sends the intel to them as it happens

7. 7|
How it works
Attentive glues the applications that you already use so that you don’t spend time configuring it.
1
2
3
First, pick your CRM or source of companies, so
we’ll automatically know what’s relevant for you
Then pick where you want to receive the insights
(we’ll continue to add more options)
As soon as we find any relevant
information in our thousands of
sources, we’ll notify you.

8. 8|
Differentiation
Attentive combines multiple sources of information to generate the insights we send to
users.
Right now we have:
1. 1,000s of news sites
2. Press release aggregators
3. Company’s House API
4. FullContact
5. InformaDB (Dun&Bradstreet in
Portugal/Spain)
Other sources we can connect in
the future:
1. BlueKai
2. Datalogix
3. AddThis
4. Bombora
5. Dun & Bradstreet

9. 9|
Next steps
TRY OUT OUR
SLACKBOT
Launched a news alerts bot
on Slack in May, now with
136 teams, 1000+ users.
LIVE DEMO
You can try our beta version on
https://app.attentive.us