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ThinkVine Boosting Media Value
1.
A Breakthrough Approach
to Marke0ng Mix Op0misa0on in Today’s Consumer-‐driven World 4 October 2012 © ThinkVine. All Rights Reserved.
2.
The Marketplace is
Changing Rapidly More More diversity fragmented among media consumers consump0on More More marke0ng ways op0ons to buy © ThinkVine. All Rights Reserved.
3.
The Demand for
Marke0ng Accountability is Rapidly Increasing “Corporate marke,ng is the last bas,on of unaccountable spending.” -‐ Google Chairman Eric Schmidt © ThinkVine. All Rights Reserved. 3
4.
The Changes are
Crea0ng New Challenges for Marketers What size How do we budget do best allocate we need? the budget? How do we What are the efficiently short-‐ and … reach target long-‐term segments? effects? © ThinkVine. All Rights Reserved.
5.
Marketers Are Struggling
to Meet the Challenges 65% of CMOs told IBM they are 54% of marke9ng execs told BCG “underprepared” for the growth they do not have the tools in channel & device choices, 63% required to make trade-‐offs said it for demographic shiOs across media vehicles >50% picked “measurement, analysis 9% of marke9ng execs informed and learning” and “integra9ng the CMO Council that they cross-‐channel marke9ng” as #1 have a highly evolved, and #2 challenges in a Unica poll integrated marke9ng model © ThinkVine. All Rights Reserved.
6.
A Revolu0on in
Marke0ng is Underway Planning From Annual to Agile Branding & From Mass to Engaged Communica0on Execu0on From Siloed to Integrated Analysis From Historical to Forward-‐Looking Organiza0onal From Cabals to Collabora0ves Behaviour © ThinkVine. All Rights Reserved. 6
7.
A ThinkVine Marke0ng
Mux Op0misa0on Success Story • Business Goals • Acquire new customers with high life9me value Financial • Find the op9mal spend level and the ROI of tac9cs Services • Discoveries • Using ThinkVine soOware the company discovered • A significant shiO from tradi9onal media to digital would meet goals • The effect of each marke9ng tac9c on acquisi9on volume and its ROI • The likely effects of new marke9ng tac9cs at scale • The shiO to digital would affect brand awareness in future years • Ac0ons • Made shiO to digital, beat customer acquisi9on targets in first year • Adjusted mix in second year to beXer balance short-‐ and long-‐term • Began integra9ng detailed digital data into planning © ThinkVine. All Rights Reserved. 7
8.
Marke0ng Mix Today
Op0misa0on Requirements • Agile What people • Accurate, objec9ve historical Value people want analysis and, more importantly, receive forecasts of “Boardroom Metrics” Analyse the Measure • Volume, Sales, ROI, CLTV, etc. past, present Marke9ng ROI • AXribu9on and future • Mul9dimensional views Forecast • All marke9ng tac9cs Sharing business marke9ng • Consumer segments insights across outcomes • Geographies the enterprise • Reliable, ac9onable informa9on Analyse • Collabora9ve process Achieving goals impact across • Flexible and up-‐to-‐date models with rela9vely channels • Low total cost of ownership low investment © ThinkVine. All Rights Reserved. 8
9.
Marke0ng Mix Op0misa0on
Op0ons Regression-‐based Mix Agent-‐based Mix © ThinkVine. All Rights Reserved. 9
10.
Marke0ng Mix Op0misa0on
Op0ons Regression-‐based Mix Mathema9cal approach. Consultant/agency or internal teams do as a project. Technical capabili9es and marke9ng exper9se vary by company and analyst Historical analysis with some granularity “teased out” of the top-‐down model. Only “sees” large amounts and variances Forecasts extend history. Validity is bounded by % change. Granularity is oOen constrained. No consumers or new tac9cs in the forecast Forecasts are typically one number. Accuracy has a short half-‐life Fixed form equa9ons, changes are effec9vely new projects No collabora9on capability. No saved plans, typically no saved forecasts 5-‐6 figure project price plus add-‐on for simulators and updates © ThinkVine. All Rights Reserved. 10
11.
Marke0ng Mix Op0misa0on
Op0ons Regression-‐based Mix Agent-‐based Mix (ThinkVine) Mathema9cal approach. Consultant/agency Complex systems approach newly applied to or internal teams do as a project. Technical marke9ng by using data about consumer capabili9es and marke9ng exper9se vary by behaviour. The soOware’s simula9on capability company and analyst and the marke9ng exper9se vary by company Historical analysis with some granularity Historical analysis with significant granularity for “teased out” of the top-‐down model. Only all types of marke9ng developed boXom-‐up, “sees” large amounts and variances including on-‐line and off-‐line aXribu9on Forecasts extend history. Validity is bounded Forecasts via forward-‐looking scenarios that by % change. Granularity is oOen constrained. make extensive use of custom consumer No consumers or new tac9cs in the forecast response data for all marke9ng types and levels Forecasts are typically one number. Accuracy Forecasts are mul9-‐dimensional with significant has a short half-‐life granularity. High accuracy over long periods Fixed form equa9ons, changes are effec9vely Ongoing data updates, periodic recalibra9on if new projects needed as part of subscrip9on No collabora9on capability. No saved plans, Built-‐in collabora9on func9onality. Plans and typically no saved forecasts forecasts are saved in the soOware 5-‐6 figure project price plus add-‐on for 5-‐6 figure annual subscrip9on fee simulators and updates © ThinkVine. All Rights Reserved. 11
12.
Organiza0onal Profiles Influence
the Decision Regression-‐based Mix Agent-‐based Mix • Familiarity with regression is • Organiza9on is open to change, uses important to organiza9on analy9cs for compe99ve advantage • Marketplace is changing slowly • Marketplace is changing rapidly • Only use a few types of marke9ng, • Use many types of marke9ng, don’t plan to try new things experimen9ng with new things • Limited or no segmenta9on • Segmenta9on is important • Minimal compe99on • Ac9ve compe99on • Plans are made once per year and • Plans are updated throughout the rarely adjusted year based on results • Collabora9on with &/or second • Collabora9on with &/or second opinion of agency isn’t important opinion of agency is important • Okay with 9me lag for new projects • Want to run scenarios themselves to get updates • Want to synchronize and integrate • Internal or low-‐cost source planning and execu9on © ThinkVine. All Rights Reserved. 12
13.
Mix and Digital
Cross-‐Channel Adribu0on Have Different Roles ThinkVine MMO Digital X-‐Channel Adribu0on Focus Strategic planning Tac9cal execu9on Objec0ve Marke9ng budget op9miza9on Campaign conversion op9miza9on Emphasis Achieve key goals Realize incremental gains Method Effec9veness via behaviour simula9on Efficiency via itera9ve execu9on Forecasts Short-‐ and long-‐term sales forecasts 2-‐8 week campaign forecast Breadth across all tac9cs, consumer Advantages Depth within digital segments and channels ThinkVine can integrate detailed digital (and social, etc.) data to create a “virtuous circle” that improves both planning and execu,on © ThinkVine. All Rights Reserved. 13
14.
A ThinkVine Marke0ng
Mix Op0misa0on Success Story • Business Goals • Increase market share in very compe99ve category Consumer • Reverse decline in brand awareness Services • Discoveries • Using ThinkVine soOware the company discovered • Erosion in brand recogni9on was crea9ng an ever-‐higher hill to climb • Compe9tor’s television blitz had further eroded brand recogni9on • The right budget level, mix and 9ming could quickly pay back • Ac0ons • Won Board approval to increase and shiO budget • Increased television adver9sing focused on innova9on with corresponding digital content to facilitate path-‐to-‐ac9on • Achieved objec9ves within six months, got “second tranche” funding • Began digging deeper into the effects of pricing in the mix © ThinkVine. All Rights Reserved. 14
15.
ThinkVine Marke0ng Mix
Op0misa0on Sogware Agent-‐based Modelling (ABM) Overview “Regression wasn’t invented for marke,ng mix; it was applied to it.” Is agent-‐based modelling new? ABM has been around since the 1940’s with roots in the hard sciences Very good at understanding how many moving parts influence an outcome Used extensively by Boeing, WHO, DoT © ThinkVine. All Rights Reserved. 15
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ThinkVine Marke0ng Mix
Op0misa0on Sogware Agent-‐based Modelling (ABM) Overview Why hasn’t agent-‐based modelling been applied to marke9ng un9l now? Lack of need – yesterday’s marketplace was less complex, more homogeneous Lack of compu9ng power – simula9ons are computa9onally intensive to run Lack of data & applied IP – about consumer response to marke9ng “ThinkVine’s marke,ng mix op,misa,on soJware harnesses the advantages and advancements of ABM to address the growing complexity in today’s marke,ng landscape.” © ThinkVine. All Rights Reserved. 16
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ThinkVine’s Sogware: “Sim
City for CMOs” ThinkVine’s marke9ng mix op9misa9on soOware enables you to simulate the • results of your marke9ng plans in a marketplace where a representa9ve popula9on of simulated people consume media and purchase products the way real people do Sales Marke0ng Ac0vi0es • It combines demographic, consumer behavior and market data with your data and advanced analy9cs to deliver the forward-‐looking informa9on you need to maximize results – accurate forecasts with rich, mul9dimensional informa9on by consumer group, type of marke9ng, product, channel and geography © ThinkVine. All Rights Reserved. 17
18.
Find the Op0mal
Investment Level to Meet Your Objec0ves ROI and Gross Margin by Total Marke0ng Investment Max ROI 2011 What If? $100 MM $145 MM Spent Budget Max Margin What If? $300 MM Budget • The soOware enables your team to easily run “What If?” scenarios. You can find the op9mal investment levels to meet various strategic and tac9cal objec9ves. © ThinkVine. All Rights Reserved. 18
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Iden0fy the Marke0ng
Plan Most Likely to Deliver the Best Results Comparison of 2012 Marke0ng Plan Alterna0ves +8.8% 185 +4.7% +2.9% Units (MM) +1.8% 178 -‐1.2% 175 173 170 168 2012 2012 2011 2012 2012 2012 $180 MM $185 MM $180 MM $180 MM $175 MM $180 MM Budget Budget Spent Budget Budget Budget Shig $5 MM Shig $5 MM Same Mix Cut $5 MM Shig $5 MM Print to Print to Digital as 2011 in Print Print to TV Digital Add $5 MM TV • The soOware enables fast, objec9ve comparisons of marke9ng plan alterna9ves. You can vary spending levels, 9ming, mix of tac9cs and consumer groups targeted. © ThinkVine. All Rights Reserved. 19
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Discover Which Marke0ng
Tac0cs Will Yield High ROI ROI by Type of Marke0ng Ac0vity • The soOware analyses and predicts how marke9ng tac9cs influence purchases. • You see granular informa9on about how each performs in the context of the overall plan. © ThinkVine. All Rights Reserved. 20
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Learn What Works
Best by Consumer Segment Marke0ng Tac0c Effec0veness By Consumer Group 50+ Affluent TV 50+ Other Radio Print <30 Affluent Digital Ads Search Other <30 Mobile 0% 10% 20% 30% 40% 50% 60% • The soOware reveals how well marke9ng tac9cs work alone and in combina9on by consumer group. You can tune your mix to efficiently reach segments you target. © ThinkVine. All Rights Reserved. 21
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Understand the Short-‐
and Long-‐Term Value of Marke0ng Effect of Proposed Marke0ng Plans By Year 160 140 19% “Brand value” 120 22% 25% 100 2014 Plan Units (MM) 26% 28% 80 2013 Plan 18% 74% 81% 2012 Plan 60 Base 50% 78% Pre-‐2012 Base Base 38% 40 20 0 2012 2013 2014 • The soOware forecasts current and future year effects of marke9ng plans. You can see the cumula9ve value of new marke9ng strategies and ini9a9ves. © ThinkVine. All Rights Reserved. 22
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Forecast Results of
New Marke0ng Ini0a0ves Planned Marke0ng Mix Proposed Mix with Mobile Added Mass Media Mass Media 67% 61% Promo0ons 11% Digital Promo0ons Mobile 22% 11% Digital 6% 22% Unit Sales Forecast 2012 Original 2012 Add Mobile % Change Total Units (‘000s) 36,928 38,109 3% • The soOware provides informa9on about the likely value of all marke9ng tac9cs, including tac9cs not used before. You understand the poten9al before you invest. © ThinkVine. All Rights Reserved. 23
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ThinkVine Marke0ng Mix
Op0misa0on Sogware Our Approach ThinkVine replicates reality by crea9ng a custom, simulated marketplace in which you can measure purchase behaviour across consumers and by marke9ng ac9vity. 1 Build Agent Popula0on Consumer agents are configured to be highly representa9ve of a popula9on using demographic and media consump9on data. 2 Add Customer Data The agents’ behaviour is informed by customer-‐supplied data about the category, the product, pricing, marke9ng ac9vity, etc. 3 Create Market Model ThinkVine’s experts develop a custom model in which the agents respond to marke9ng ac9vity and make purchases within the category in a realis9c way. 4 Ongoing Planning The soOware enables marketers to quickly and easily run scenarios in a frequently updated marketplace and get a rich, objec9ve set of decision-‐making informa9on. © ThinkVine. All Rights Reserved. 24
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Building an Agent
Popula0on Demographics Sample Consumer Male 47 Years Old Caucasian Income, $110,000 / yr. • We mathema9cally recreate a representa9ve popula9on of target markets by sta9s9cally drawing from empirical distribu9ons of many variables • Targe9ng variables include geography, income, age, ethnicity, etc. © ThinkVine. All Rights Reserved. 25
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Building an Agent
Popula0on Media Consump0on • We assign the agents media # of minutes watching television per day consump9on behavior by tapping a variety of widely-‐ accepted sources of consumer behaviour data • We use patent-‐pending IP to # of minutes using social media per day sample from these known distribu9ons and assign media exposure probabili9es • As a result, some agents watch a lot of television (and have # of minutes shopping online per day higher exposure probabili9es) while others will watch liXle to no television (and have lower probabili9es) © ThinkVine. All Rights Reserved. 26
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Building an Agent
Popula0on Consumer Agents • The soOware now contains a marketplace of agents that is representa9ve of the consumers in your marketplace • It also contains marke9ng science-‐based rules about response and purchase behaviour © ThinkVine. All Rights Reserved. 27
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Adding Customer Data
ThinkVine Marke0ng Mix Op0miza0on Sogware: Your Data Required Data Marke0ng plans Media, promo9on, marke9ng, digital Sales data Syndicated data, internal sales data Enhance & Improve Your Results Market research data Segmenta9on, price elas9city, exogenous factors, addi9onal general and demographic-‐based media consump9on data, etc. © ThinkVine. All Rights Reserved. 28
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Adding Customer Data
Purchasing Behavior • We use the customer data to configure the agents so their purchase behaviour matches how consumers actually purchase within the specific category Category Purchase Brand Frequency Awareness 4 ~90% Purchase Probability ~20% © ThinkVine. All Rights Reserved. 29
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Crea0ng the Market
Model A “Bodom-‐up” Approach That Predicts More Accurately 1 Training the system ThinkVine’s analysts develop and calibrate a custom model that recreates past sales from the “boXom up” by establishing consumer-‐centric rules that fit historical results. 2 Proving the system Once the system is trained, we validate it by comparing the most recent 6 months of actual sales (“hold out” data not used to train the system) to a simula9on of that 6 month period. 3 Using the system Once the model has been calibrated & validated, it is ready to accurately forecast future sales and provide rich decision support informa9on for each marke9ng plan and “what if” scenario. Train Prove Use Calibra9on using demographic, consump9on, plan, research & sales data Validate with hold out data Forecasts 2 Years Sales History 1-‐2 Quarters Future Simulated Actual © ThinkVine. All Rights Reserved. 30
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ThinkVine and Partners
Deliver Value Quickly and Over Time Configura0on & Agile, objec0ve marke0ng planning & op0misa0on Ini0al Guidance • Analysis of recent • Respond quickly to market and budget changes by marke9ng ac9vity running “What If?” analyses of marke9ng plans • Recommenda0ons for • See forecasts with rich informa0on by consumer group, immediate changes in marke9ng tac9c, channels and geography the marke9ng mix • Iden0fy new opportuni0es for growth and savings • Accurate forecasts • See the effects of media you haven’t tried before • Create effec0ve, efficient integrated plans across all marke9ng ac9vi9es • Receive expert ongoing marke0ng support © ThinkVine. All Rights Reserved. 31
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Sample Screens: Create
Scenarios at a High-‐level or In Detail High-‐level By group & year In Detail By type & week © ThinkVine. All Rights Reserved. 32
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Sample Screens: Compare
Plans, Review by Tac0c, Segment, Etc. Compare ROI of plans, filter High-‐level results by 9me, By group & year segment, etc. Long-‐term effects of plans “Due to” and ROI by tac9c and segment © ThinkVine. All Rights Reserved. 33
34.
A ThinkVine Marke0ng
Mix Op0misa0on Success Story • Business Goals • Increase market share while maintaining margins Consumer • Improve overall marke9ng ROI Products • Discoveries • Based on recent success with a specific consumer group, the agency recommended doubling the targeted radio ads at mid-‐year • Using ThinkVine soOware the company discovered • Ads drive traffic to store, but in-‐store price drives purchase decisions • The marginal return from more ads to the group would be very low • There was a large consumer group with more upside poten9al • Ac0ons • Adjusted its marke9ng mix to achieve its business goals • Now quan9fies all proposed changes via planning soOware © ThinkVine. All Rights Reserved. 34
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ThinkVine's marke9ng mix
op9misa9on soOware provides B2C marketers with the forward-‐looking informa9on they need to get the maximum return across all of their marke9ng investments. See a 2 minute video overview at www.thinkvine.com or call +1 513 842 5900 © ThinkVine. All Rights Reserved.
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