-ing BDR 

Pipeline3XSuccess with Nexsales’
Data Orchestration Platform
THE CLIENT
Leader in unified communication
solutions for enterprise clients
THE PROBLEM
Client’s BDRs were generating 57%
of target qualified opportunities
WHY?
The many‘BLACK HOLES’-
sucking up productive time
Source: Forbes https://www.forbes.com/sites/kenkrogue/2018/01/10/why-sales-reps-spend-less-than-36-of-time-selling-and-less-than-18-in-crm/#16793c0ab998
Turns out these
black holes are an
industry-wide
problem! of sales reps’ time is
spent on non-selling
activities
64.8%
And a majority of this involves fixing
Lead Data Issues
Salesforce
pegs the cost
of bad CRM
data at
or 30% of average annual
company revenue!$700bn
Source: Salesforce https://www.salesforce.com/hub/analytics/data-validation-practices/
The average contact database has
90%
Incomplete contacts
20%
Redundant records
ZERO-ING IN ON THE DATA PROBLEM
1. Insufficient Lead
Data
3. Clogged Data Flow
& Insights
2. Poor Quality
Data
1. Insufficient Lead Data
Poor lead coverage in
SMBs
Limited ABM
effectiveness - need
deep account mining
Inadequate TAM
coverage from
off-the-shelf sources
Slow turnaround for
time-sensitive “intent”
accounts
2. Poor Quality Data
Outdated/ obsolete
lead data
Poor decision-maker
connect rates
Big gap - Ideal
Customer Persona v/s
Available Data
Missing persona tags
hampered content
messaging
3. Clogged Data Flow & Insights
More rigorous analytics
A/B test, benchmark &
prioritize lead data-sets
Prepare for the future
Sow the seeds for machine
learning
Inject insights
BDR organizations need an
agile, learning culture
Better data operationalization
Normalize leads with sequences,
dialers & BDR preferences
DATA DISTRESS WAS IMPACTING BDR SUCCESS!
Sparring with lists across
systems and suppression
files
Time-consuming research
& data aggregation
Loading Managers with
data drills – lesser time
for coaching/ execution
Overlooking
interpretation of trends/
implementing insights
THE NEXSALES
SOLUTION
Step 3
NEW HORIZONS
Step 1
SOLID FOUNDATION
Step 2
RAPID SCALING
Data
Orchestration
Agile Data
Optimization
Artificial
Intelligence
SOLUTION STEP 1
Data Orchestration
Define & refine ICP
continuously
Unify all lead data
sources: RightLeads.io
Clean and operationalize
all data
Invest in a dedicated
research team
SOLUTION STEP 2
Agile Data Optimization
Feed high quality
leads to BDRs + Rapidly
turn-around surging data
Prioritize what’s working;
Eliminate what’s not
Socialize conversion
metrics with closed
loop feedback
Optimize for sales
enablement: Outreach,
Salesforce, VoiceReach
SOLUTION STEP 3
Artificial Intelligence
Text mining & role-based
lead segmentation
Dynamic, data driven
micro-tuning of ICP
Recommendation engine for
cadence/ messaging
Artificial Intelligence for
predictive targeting
SOLUTION
TEAM
• Adherence to program objectives
• Provide strategic direction
• Benchmark & evaluation
• Project execution oversight
• Change Management
• Issue ratification and resolution
• Day to day resource management
• Continuous improvement
• Analytics and Insights
• Outbound support
• Live conversation and analytics
Roles &
Responsibilities
Program Management
CXO level
Strategy & Engineering
Leadership
VP – Inside Sales
Director - Marketing Operations
Managers
Sr Mgr - Inside Sales
+
Specialist - Sales Ops
+ IT department
Software Integration
Principal Architect/ Dev Ops,
Software Developers
Data Management
Account Manager/ Data
Architects/ Data Researchers
VoiceReach Dialer
Project Manager/ Back-end
Dialers
Sales Development Reps
Client BDR Team/
Outsourced BDR Team
+
“Closers”
Client Organisation
AND …
what results did this
Solution deliver?
Actual
Results / ROI
High accuracy researched leads
built / appended / assigned
0NA
55,000
Leads accuracy >95% enabling
higher engagement levels
Average ‘Qualified Leads’
generated per BDR per month
104
54
Qualified Lead (QL) are decision makers
who are actively engaged in a buy cycle
3X
ABM coverage
35k
51k
ABM coverage measured in terms of leads
confirming to ICP criteria in targeted accounts
1.5X
BEFORE
AFTER
Actual
Results / ROI
Average
Dials / day
40
16
3X
# Leads allocated to
Individual BDRs
3,652
765
5X
Direct Prospect
Conversations / day
15
3
5X
Average Prospect
Touchpoints / day
35
19
2X
Driving sales engagement touch points
Thank You

Success with Nexsales’ Data Orchestration Platform

  • 1.
    -ing BDR 
 Pipeline3XSuccesswith Nexsales’ Data Orchestration Platform
  • 2.
    THE CLIENT Leader inunified communication solutions for enterprise clients THE PROBLEM Client’s BDRs were generating 57% of target qualified opportunities WHY? The many‘BLACK HOLES’- sucking up productive time
  • 3.
    Source: Forbes https://www.forbes.com/sites/kenkrogue/2018/01/10/why-sales-reps-spend-less-than-36-of-time-selling-and-less-than-18-in-crm/#16793c0ab998 Turnsout these black holes are an industry-wide problem! of sales reps’ time is spent on non-selling activities 64.8% And a majority of this involves fixing Lead Data Issues
  • 4.
    Salesforce pegs the cost ofbad CRM data at or 30% of average annual company revenue!$700bn Source: Salesforce https://www.salesforce.com/hub/analytics/data-validation-practices/ The average contact database has 90% Incomplete contacts 20% Redundant records
  • 5.
    ZERO-ING IN ONTHE DATA PROBLEM 1. Insufficient Lead Data 3. Clogged Data Flow & Insights 2. Poor Quality Data
  • 6.
    1. Insufficient LeadData Poor lead coverage in SMBs Limited ABM effectiveness - need deep account mining Inadequate TAM coverage from off-the-shelf sources Slow turnaround for time-sensitive “intent” accounts
  • 7.
    2. Poor QualityData Outdated/ obsolete lead data Poor decision-maker connect rates Big gap - Ideal Customer Persona v/s Available Data Missing persona tags hampered content messaging
  • 8.
    3. Clogged DataFlow & Insights More rigorous analytics A/B test, benchmark & prioritize lead data-sets Prepare for the future Sow the seeds for machine learning Inject insights BDR organizations need an agile, learning culture Better data operationalization Normalize leads with sequences, dialers & BDR preferences
  • 9.
    DATA DISTRESS WASIMPACTING BDR SUCCESS! Sparring with lists across systems and suppression files Time-consuming research & data aggregation Loading Managers with data drills – lesser time for coaching/ execution Overlooking interpretation of trends/ implementing insights
  • 10.
    THE NEXSALES SOLUTION Step 3 NEWHORIZONS Step 1 SOLID FOUNDATION Step 2 RAPID SCALING Data Orchestration Agile Data Optimization Artificial Intelligence
  • 11.
    SOLUTION STEP 1 DataOrchestration Define & refine ICP continuously Unify all lead data sources: RightLeads.io Clean and operationalize all data Invest in a dedicated research team
  • 12.
    SOLUTION STEP 2 AgileData Optimization Feed high quality leads to BDRs + Rapidly turn-around surging data Prioritize what’s working; Eliminate what’s not Socialize conversion metrics with closed loop feedback Optimize for sales enablement: Outreach, Salesforce, VoiceReach
  • 13.
    SOLUTION STEP 3 ArtificialIntelligence Text mining & role-based lead segmentation Dynamic, data driven micro-tuning of ICP Recommendation engine for cadence/ messaging Artificial Intelligence for predictive targeting
  • 14.
    SOLUTION TEAM • Adherence toprogram objectives • Provide strategic direction • Benchmark & evaluation • Project execution oversight • Change Management • Issue ratification and resolution • Day to day resource management • Continuous improvement • Analytics and Insights • Outbound support • Live conversation and analytics Roles & Responsibilities Program Management CXO level Strategy & Engineering Leadership VP – Inside Sales Director - Marketing Operations Managers Sr Mgr - Inside Sales + Specialist - Sales Ops + IT department Software Integration Principal Architect/ Dev Ops, Software Developers Data Management Account Manager/ Data Architects/ Data Researchers VoiceReach Dialer Project Manager/ Back-end Dialers Sales Development Reps Client BDR Team/ Outsourced BDR Team + “Closers” Client Organisation
  • 15.
    AND … what resultsdid this Solution deliver?
  • 16.
    Actual Results / ROI Highaccuracy researched leads built / appended / assigned 0NA 55,000 Leads accuracy >95% enabling higher engagement levels Average ‘Qualified Leads’ generated per BDR per month 104 54 Qualified Lead (QL) are decision makers who are actively engaged in a buy cycle 3X ABM coverage 35k 51k ABM coverage measured in terms of leads confirming to ICP criteria in targeted accounts 1.5X BEFORE AFTER
  • 17.
    Actual Results / ROI Average Dials/ day 40 16 3X # Leads allocated to Individual BDRs 3,652 765 5X Direct Prospect Conversations / day 15 3 5X Average Prospect Touchpoints / day 35 19 2X Driving sales engagement touch points
  • 18.