Artificial Intelligence in Account-Based Marketing
                     ARTIFICIAL 
INATRETLLIFIGIntIeCEI
AANrtiLfiCc iEal  lligence in 
INATRETL(LIAAFcIcGIIoC)uEnItAN-BLaCs eEd  Marketing
INTELBy( SLaleARTIA
sMIarGkI Gl)obaFICE
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https://salesmarkglobal.com/
INTEL(LAIGI)ENCE 
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Introduction
Compelling businesses always find ways of creative strategies to be contented 
internally and stock professional traders to be smarter. Innovation through AI 
brought about new boost for ABM, allowing businesses to reach their potential 
buyers successfully and changing business-audience interactions to some 
extent. 
Artificial intelligence in account-based marketing offers the ability to study 
massive amounts of data, and spot patterns that will automate what once used 
to be a manual task. Such a transformation cannot go unnoticed in marketing 
and ABM as well. AI-driven technologies provide the possibility of obtaining the 
most important accounts insights that marketers can use further to fine-tune 
the marketing efforts by using the personalization approach at scale.
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TABLE OF CONTENTS
T0a1rg.eting 02. 03.
and Personalized Predictive 
Segmentatio Content Lead Scoring 
n and 
Prioritization
04. 05. 06.
Automated Improvement 
Sales and 
Campaign and 
Marketing
Optimization Adjustment
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INTELLIGENCE 
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01.
Targeting and 
segmentation
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 The increased potential in 
targeting and segmentation. 
One of the major issues of 
account based marketing (ABM) 
often is the ability to identify ARTIFI
the proper accounts to 
legitimately target and work 
accordingly to be certain 
accounts arc segmented 
appropriately. CIAL 
The well-known methods are 
time-consuming, burdensome 
and do not show the stabile hip 
and result in smaller target and, INTELL
https://saleasmsar kaglo brael.csomu/lt, loss of profit. 
IGENC
E (AI)
02.
Personalized 
Content
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A p
markeAersonalization component is the main focus of a ting pRlan. BTusineIssFes heIlpC their IaudAienceL’s sp ecific needs by providing custom content and messaging. 
INThe AI potential comes about when it performs the analysAiTs of pREast eTnLgageLImFenIt hGIistCory,E brIowANsing hLaCbits, aEnd  demographic dynamically for every user and gener ates 
personalized recommendations for content, emails, subject 
lines, and ad copy ta(rgeAting tIhe) customers with unique INTEcLustoLmer IreqGuiremeEnts NCE 
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0Pr3e).dictive 
Lead Scoring 
and 
Prioritization
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ARTIFICI
AL Predictive Lead Scoring and Prioritization is used to have an insight into the potential of the prospect. For the business to have good 
ROI from its marketing activities and to have 
a well-sorted sales process, selection of 
INTEcLompeLtent lIeads and prioritization becomes important elements in ABM. Lead scoring algorithms based on AI and ML for analysis of 
historical data and proposal of the likelihood 
for conversion of each lead by assuming 
GENCtrendsE and p atterns of lead’s engagement.
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04.
Automated 
Campaign 
Optimization
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The frame to which ABM has to be 
held is essentially what the human 
encounAters can do – check results, draw conclusiRons, anTd turn ItheF ICIAL 
campaign parameters. 
INThrougTh AI-powered marketing automatiAon platfRoErms, businesses can automate marketing activities both of which capitalize on thisL to conLfirm IGENCE that their marketing camTpaignIs woFrk ICIAL 
as intended. Optimised in real time. 
These platforms use advanced 
INmachinTe learnEing algorithms to streamline campaign meLtric analysis, trend spotting, and data-d(rivenA I)decision making. LIGENCE 
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05.
Sales and 
Marketing
You can enter a subtitle here if you need it
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AI saAles enRablemeTnt tooIls Fcan faIcilCitate thIe mAajorityL of va lue creation for sales and marketing teams as they become a platform for sharing data, timeous information, predictive 
analysis, and prescriptive recommendations. The AI-powered 
platforms with CRM systems serves to exact that sales team is 
INconTveyedE data oLf leadLs, individualized data content, and engaAgemenRt info TwhichI in FturIn eGInaCbles EtheImA tNo formL Ccust om-made messages that fit them perfectly into the targeted E selling.
INATRETL(LIAFIGIIC)EIANLC E 
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INTEL(LAIGI)ENCE 
(AI)
06.
Long Term 
Improvement 
and 
Adjustment
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AI-based marketing platforms may be able to keep 
making progress after they get more information 
ARTfromI pFrevioIusC campIaigns’ results, users’ feedback on the ads, and the trade in the market, so as to improve the geo-targeting and messaging 
strategies. Through the assessment of vast 
quantities of information and their ongoing 
AL algorithm improvement, AI empowers marketers to be able to match the pace of shifts in preference of customers and market reactions. 
INTELLIG
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Takeaway
ARTIFEImpCloying AI-based technologies, marketers will Ibe superior in segmentation and targeting, customizing the content of 
individuals, optimizing prospecting, 
maximizing campaign autoformation, sales 
AL and marketing alignment, as well as continuous improvement and thus ensuring organizations' success through called ABM.
INTELLIG
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THANK ART
S IFICI
Do you have any 
questions? AL 
[email protected]
+65 8247 7206
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