Drilling Down Into Big Data to Manage Variable Incentive Risks

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Drilling Down Into Big Data to Manage Variable Incentive Risks Marisa Massie Controller, Bazaarvoice

description

As a CFO, you are accustomed to checking ratios in regards to expenses, COGS, net income and more. Comparing ratios from publicly available information is a key part of the monthly, quarterly and annual review of firm performance. Some information, however, is not as easily visible when peer comparisons are being made. Take the over $800 billion spent annually on sales compensation. Visibility to variable compensation ROI is hard for companies to measure, let alone drawing comparisons against the marketplace. For example: - Do you know what percentile you are paying your sales reps compared others in your industry? - How does your quota setting practices match up to your industry peers? - What is the optimal compensation plan for your industry? This session will share new insights into how companies are leveraging empirical big data from Xactly to check their plans, spending levels, and performance to analyze benchmark internal performance against the peers. Speaker: Marisa Massie, Controller, Bazaarvoice Presentation delivered at ProformaTECH 2014 - http://www.proformatech.com Track: Change Anticipation & Readiness | Session: 3

Transcript of Drilling Down Into Big Data to Manage Variable Incentive Risks

Page 1: Drilling Down Into Big Data to Manage Variable Incentive Risks

Drilling Down Into Big Data to Manage Variable Incentive RisksMarisa Massie

Controller, Bazaarvoice

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© 2014 Proformative

1.Source: Forrester Research

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By 2016 an estimated

52% of total online and offline retail sales will be influenced by Internet content(1)

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Confidential and Proprietary. © 2012 Bazaarvoice, Inc.

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MillennialsTrust & influence.

2012 study by Bazaarvoice and The Center for Generational Kinetics

51%

84%59%

Trust strangers’ opinions over friends and family.

are influenced by UGC.

List internet as their main news source.

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© 2014 Proformative

Bazaarvoice powers a network that connects brands and retailers to the authentic voices of people where they shop.

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Brand content can be displayed across multiple retail sites

Content syndication across the Bazaarvoice network

Brand X

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473BImpressions served since inception

145BImpressions served in FY2013

400MAverage impressions

served per day in FY2013

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Global blue chip client base Travel and LeisureConsumer Products Financial ServicesRetail Technology

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Evolution of Sales Performance Management

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Big Data Plan Performance

Integrated SaaS Tools CRM & Sales Comp

3 MeasuresHunter vs. Farmer

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Invest in the Top Line

Top 3 Investments

Cap Ex IT Sales Comp

Sales Comp 15-25% of Revenue

Get the comp plan right deliver the top line

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Invest in Sales Comp – dramatically higher ROI

• Measure Plan Success • Deliver on key metrics

• Pay for real performance

• Lead data-driven decisions• Benchmarking

• Predictive Analytics

Invest in Excellent Data

What is the right Data to invest in?

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What is Plan Success ….vs Saleperson Success?

Salesperson Success

• Made Quota – Going to Club

• Made OTE

• Paid on big deals

Plan Success

• Company hit sales targets• Right markets, right markets

• Achieved on all 3 elements• Not through SPIFFs, exceptions, etc.

• Paid without caps for the right deals

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Managing Variable Incentive Risks

“Commissions paid, sales targets

missed”

“Risk from Blue Bird deals”

“Pay for Performance”

“Invest with Confidence”

“Game the Plan”

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It All Seems so Simple When We Start

CFO SalesRevenue

GoalsMarketsProducts

Profitability

BehaviorsNew Business

ProductsRenewals

Cost Envelope Target OTE

Commission Plan

Quota Rates

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What are the Battlegrounds?

Quotas

Payout Curves

Bluebird

How many measures?

“Outside Plan”

60% hit quotaOverassign wisely

Keep selling

Manage the rate per credit

Only ThreeLeverage Policy

2-3% OTE [across the business]

Midyear quota resetSplits w/o quota

Capped curves drive sales to next year

Capped payments

Build two measures into one

SPIFs, quarterly bonus, new logo, product

TRUSTCOMPLEXITYPLAN ELEMENT

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Measure What You Manage

CFO EVP Sales

Revenue goalsMarketsProducts

Profitability

Behaviors ProductsRenewalsMulti-year

Quarterly consistencyProfessional Services

Outclauses

Cost EnvelopeTarget OTE

Club?

Commission PlanQuota Rates

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Fast Feedback Reinforces Behaviors

Selling New Products

Everyone Wins

Contract Length

Longer, but not too long

Renewals

Collaboration

50% 30% 20%

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Measure the Effectiveness of Your Plan

• Cost per revenue $$ or product?• Include everyone paid on the products

• Desired deal structure?• Product mix

• Contract term

• Cross-account customer profitability?

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Insights & Benchmark Examples

• Executive• Quota Setting• Quota Modeling• Quota Distribution• Productivity by Product,

Region, Rep

• Finance• Sales Comp Profitability

(Spend/Revenue)• Spend by Plan• Spend by Role

• Sales Ops• Model Comp Plan• Payout Curve Benchmarking• Payment Triggers• Model Crediting• Effective Commission Rates

• IT• Data Quality• System Usage Distribution• Processing Distributions

v

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How do you Invest in Excellent Data?

1. Tie all commission credits and payments to specific transactions

2.Architect your data across CRM, Sales Order and Comp ecosystem

3. Measure ALL payouts

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Evolution of Sales Performance Management

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Big Data Plan Performance

Integrated SaaS Tools CRM & Sales Comp

3 MeasuresHunter vs. Farmer

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1. Tie all Payments to Transactions

Order line details drive credit calculationOrder info, order start date, order end date, term, product ID, account or order ID

Leverage your comp system to calculate the credit and retain ‘references’ to opportunity, contract and account

Data transformation = data loss

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2. Robust Data Architecture

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Lead

Account &

Territory

Opp’ty OrderCompCredit

Source

Inside sales

Partner

Parent

Territory

Region

Sales Team

Support roles (e.g. SE)

Product

Terms

New or Renew

Tie to Order / Oppty / Accoun

t

Value-add data resides everywhere

Comp Tool

CRM

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2. Automate and Enrich Data

LeadAccount

& Territory

Opp’ty OrderComp Credit

Comp Product Family

SPIF Object

Commission Event Object

Account Team for Splits

Role-based share

Credit Type

Deal Object

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3. Measure All Payments

Trade-off ‘discretionary’ items to fund more impactful design elements

• Outside of Plan elements: Professional Services

• Expensive add-ons: SPIFs, Quarterly bonus,

• Unplanned expense: Exceptions, adjustments

Create Unique tracking IDs for these in Comp System

All Payments through Comp Team

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Payback is Data-driven Decisions

• Maximized investment in highest value plan elements

• Robust risk modeling and forecasting

• Effective sales performance management

• Motivated sales team

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Evolution of Sales Performance Management

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Big Data Plan Performance

Integrated SaaS Tools CRM & Sales Comp

3 MeasuresHunter vs. Farmer

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Benchmarking Opportunities

Compare through ‘independent’ sources

• Benchmark vs. self• Prior year Plan Design Success• Monthly progress of current Plan

• Benchmark vs. others• Organize data to enable benchmarking

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Quota Attainment vs Industry Benchmark

Attainment 0-80%

Attainment 80%-120%

Attainment Over 120%

0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

50%

15%

35%

20.00%

65.00%

15.00%

Attainment

Benchmark

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Payout Curve Benchmark

PAYO

UT

%

0% 50% 100% 150% 200% 250% 300%0%

50%

100%

150%

200%

250%

ATTAINMENT %

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You’re Not Alone…

Sibson Software Sales Comp Forum

• Renewals comp in ‘Hunter’ Plan

• Crediting new products

• Goal for 100% attainment / club

• Blue Bird Clauses

• SaaS vs. Software Sales comp

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Benchmarking – Data Driven Decisions

• Start by analyzing your own performance

• Identify highest value areas

• Reach out to data sources

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What’s next? Where do you go from here?

Assess commission data quality

Evaluate plan effectiveness at same level you designed

Look for benchmarks in preparation for next year’s plan

Invest in the infrastructure

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Evolution of Sales Performance Management

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Big Data Plan Performance

Integrated SaaS Tools CRM & Sales Comp

3 MeasuresHunter vs. Farmer

Specific Transactions Architect Data Measure ALL

Measure Plan Success Start Benchmarking

Define Plan Success Design with trust

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Xactly Solutions

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Questions

Marisa Massie

[email protected]

415-728-2932

Subscription Economy: Role of the Controller

Zuora – Subscription Economy - eBook

@marisamassie

http://www.linkedin.com/in/mmassie

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Drilling Down Into Big Data to Manage Variable Incentive RisksMarisa Massie

Controller, Bazaarvoice