urlscan.io logo urlscan.io
SecurityTrails logo

www.lift-ai.com Open in urlscan Pro
52.49.198.28  Public Scan

Back to summary
Submitted URL: https://m.marketlinc.com/e3t/Btc/ZQ+113/cjF7p04/VWpc5j91cvknW5D9YYn7bpqm4W91lZlN4ClQ5ZN93kXGB3q3nJV1-WJV7CgW4sW8WnFGZ3tVT...
Effective URL: https://www.lift-ai.com/case-studies/drift-9x-conversions?utm_campaign=Blog%20Series%202021&utm_medium=email&_hsmi=19834...
Submission: On December 28 via api from US — Scanned from DE

Form analysis 1 forms found in the DOM

/search

<form action="/search" class="modal-search-form w-form" data-hs-cf-bound="true">
  <div class="card form-input-card"><img src="https://uploads-ssl.webflow.com/5ddde095c6438659f883ec6d/5ddde095c64386070b83ecbd_icon-search.svg" alt="" class="form-input-icon"><input type="search" class="form-input form-input-naked w-input"
      autofocus="true" maxlength="256" name="query" placeholder="Type your search" id="search" required=""></div><input type="submit" value="Search" class="button form-search-button w-button">
</form>

Text Content

ProductSuccess StoriesAboutInsightsPartnersHelp CenterContactRequest Free
TrialBook a Demo
Request Free TrialOr Book a Demo





WITH LIFT AI, DRIFT CUSTOMERS GET 9X MORE PIPELINE


By Lise Reddick, VP Product at Lift AI

AN ANALYSIS OF THE RAW DATA FROM 21 CLIENTS AND OVER 22 MILLION WEBSITE VISITORS

Lise Reddick, VP Product Lift AI


AN ANALYSIS OF THE RAW DATA FROM 21 CLIENTS AND OVER 22 MILLION WEBSITE VISITORS

By Lise Reddick, VP Product at Lift AI

On average, Drift customers using Lift AI get 9x more conversations that turn
into pipeline opportunities.

Lift AI is game-changing.

So, how did we calculate the 9x number? 



LIFT AI TRACKS KEY METRICS TO PERFORM

As with any marketing technology, Lift AI tracks metrics on each customer
install so that we can measure results and seek improvements. The data for this
analysis was pulled directly from Drift’s platform, including information such
as:


 * Number of visitors scored
 * Number of chat invitations (or “sends”) presented
 * The nature and number of each playbook deployed
 * The number of accepted conversations
 * The number of  conversations converted into opportunities
   

With this information in hand, we can review the analytics for our customers to
measure results, find optimizations, and continuously learn.



THE RAW DATA FROM 21 CLIENTS AND OVER 22 MILLION WEBSITE VISITORS

Below is a table representing the metrics averaged from 21 Drift clients and
including over 22,366,102 million website visitors.  



The above two rows show what an average customer’s results looks like without
Lift AI, and what it looks like with Lift AI. As you can see, at a high level,
customers using Lift AI get 9x more conversations turned into pipeline, measured
by the difference between 0.4% without Lift AI and 3.7% with Lift AI: 3.7/0.4 =
9.25. 

Below is a breakdown of figures from the websites that do use Lift AI. The
segments are determined by Lift AI which uses a machine-learning model to assign
each visitor a “buyer intent” score. 



Typically, we segment visitors by high, medium, or low buyer intent. This
determines how likely the visitor is to convert if they’re engaged with the
right experience.The right experience means customizing Drift playbooks. You
can’t use a “one size fits all” approach for conversational marketing, and
expect to optimize the results.

For example, a visitor with high buyer intent should automatically deploy a live
sales agent playbook (if they’re online). Our study revealed that 2,635 high
intent visitors engaged in a conversation with a live sales agent playbook
converted into an opportunity 11.7% of the time! 

A medium intent visitor might deploy a “qualification” chatbot playbook which
seeks to move visitors up to a live agent for conversion. A low intent visitor
might get a support or nurturing chatbot which directs visitors to a key content
piece or similar. Each playbook is then customized depending on if live agents
are online or not, for maximized results.



WE STAND BY OUR NUMBERS

We created Lift AI to help get better results for our Conversational Marketing
clients, for whom we offered a range of services to increase the efficiency and
efficacy of their implementations. As conversational marketing experts, we
worked on a “pay for performance” model - where our clients would only pay us if
we achieved the results we promised. 

Over the course of many years, gaining an incredibly deep understanding of
conversational marketing and conversions, we realized that there must be a
better way to engage visitors in chat based on their own unique intent. That’s
when Lift AI’s machine-learning model was born.

We still stand by our numbers and our data today and include a performance
guarantee in many of our agreements. 

If you’d like an even deeper analysis of the results, we’d be happy to walk you
through them - you can contact us here to learn more. 

IF YOU WANT TO SEE WHAT KIND OF RESULTS YOU COULD EXPECT BY ADDING LIFT AI TO
YOUR DRIFT INITIATIVES, YOU CAN GET A FREE TRIAL OF LIFT AI AND SEE FOR
YOURSELF.



 * COMPANY
   
   Drift

 * LOCATION
   
   Boston, USA

 * EMPLOYEES
   
   600+

 * INDUSTRY
   
   Conversational Marketing & Revenue Acceleration

 * WEBSITE
   
   http://www.drift.com

AN ANALYSIS OF THE RAW DATA FROM 21 CLIENTS AND OVER 22 MILLION WEBSITE VISITORS

Lise Reddick, VP Product Lift AI


AN ANALYSIS OF THE RAW DATA FROM 21 CLIENTS AND OVER 22 MILLION WEBSITE VISITORS

By Lise Reddick, VP Product at Lift AI

On average, Drift customers using Lift AI get 9x more conversations that turn
into pipeline opportunities.

Lift AI is game-changing.

So, how did we calculate the 9x number? 



LIFT AI TRACKS KEY METRICS TO PERFORM

As with any marketing technology, Lift AI tracks metrics on each customer
install so that we can measure results and seek improvements. The data for this
analysis was pulled directly from Drift’s platform, including information such
as:


 * Number of visitors scored
 * Number of chat invitations (or “sends”) presented
 * The nature and number of each playbook deployed
 * The number of accepted conversations
 * The number of  conversations converted into opportunities
   

With this information in hand, we can review the analytics for our customers to
measure results, find optimizations, and continuously learn.



THE RAW DATA FROM 21 CLIENTS AND OVER 22 MILLION WEBSITE VISITORS

Below is a table representing the metrics averaged from 21 Drift clients and
including over 22,366,102 million website visitors.  



The above two rows show what an average customer’s results looks like without
Lift AI, and what it looks like with Lift AI. As you can see, at a high level,
customers using Lift AI get 9x more conversations turned into pipeline, measured
by the difference between 0.4% without Lift AI and 3.7% with Lift AI: 3.7/0.4 =
9.25. 

Below is a breakdown of figures from the websites that do use Lift AI. The
segments are determined by Lift AI which uses a machine-learning model to assign
each visitor a “buyer intent” score. 



Typically, we segment visitors by high, medium, or low buyer intent. This
determines how likely the visitor is to convert if they’re engaged with the
right experience.The right experience means customizing Drift playbooks. You
can’t use a “one size fits all” approach for conversational marketing, and
expect to optimize the results.

For example, a visitor with high buyer intent should automatically deploy a live
sales agent playbook (if they’re online). Our study revealed that 2,635 high
intent visitors engaged in a conversation with a live sales agent playbook
converted into an opportunity 11.7% of the time! 

A medium intent visitor might deploy a “qualification” chatbot playbook which
seeks to move visitors up to a live agent for conversion. A low intent visitor
might get a support or nurturing chatbot which directs visitors to a key content
piece or similar. Each playbook is then customized depending on if live agents
are online or not, for maximized results.



WE STAND BY OUR NUMBERS

We created Lift AI to help get better results for our Conversational Marketing
clients, for whom we offered a range of services to increase the efficiency and
efficacy of their implementations. As conversational marketing experts, we
worked on a “pay for performance” model - where our clients would only pay us if
we achieved the results we promised. 

Over the course of many years, gaining an incredibly deep understanding of
conversational marketing and conversions, we realized that there must be a
better way to engage visitors in chat based on their own unique intent. That’s
when Lift AI’s machine-learning model was born.

We still stand by our numbers and our data today and include a performance
guarantee in many of our agreements. 

If you’d like an even deeper analysis of the results, we’d be happy to walk you
through them - you can contact us here to learn more. 

IF YOU WANT TO SEE WHAT KIND OF RESULTS YOU COULD EXPECT BY ADDING LIFT AI TO
YOUR DRIFT INITIATIVES, YOU CAN GET A FREE TRIAL OF LIFT AI AND SEE FOR
YOURSELF.


MORE SUCCESS STORIES WITH LIFT AI

Find out how the combination of Drift and Lift AI enabled an 88% increase in
chat pipeline in just 90 days

Read their story

Learn how Kaspersky found incremental revenue gains while also achieving cost
savings

Read their story

Using Lift AI to predict the conversion potential of every visitor, enabled
Nitro to increase the number of visitors targeted with chat by 522%, leading to
significant growth.

Read their story


READY TO TURN ANONYMOUS VISITORS INTO REVENUE?

Request Free Trial
Book a Demo
Free 30 day trial  •  No credit card required  •  Simple installation
A MarketLinc company
© Lift AI 2021
 * 

PRODUCT TOUR

SUCCESS STORIES

ABOUT US

INSIGHTS

PARTNERS

RESOURCE CENTER

PRIVACY POLICY

REQUEST FREE TRIAL

BOOK A DEMO

CONTACT US



© Lift AI, 2021