Podcast
Questions and Answers
Consumer ______ data provides a richer context for trade promotion optimization than POS data alone.
Consumer ______ data provides a richer context for trade promotion optimization than POS data alone.
panel
TPO simulations with ______ data can better predict long-term outcomes of promotions, estimating how many new shoppers a promotion will recruit versus shifting timing or brand.
TPO simulations with ______ data can better predict long-term outcomes of promotions, estimating how many new shoppers a promotion will recruit versus shifting timing or brand.
panel
Integrating ______-derived elasticities into TPO systems enables more accurate forecasting of outcomes, guiding managers to tweak promotions based on a lower true incremental ROI.
Integrating ______-derived elasticities into TPO systems enables more accurate forecasting of outcomes, guiding managers to tweak promotions based on a lower true incremental ROI.
panel
Combining retailer scanner data with ______ data, as seen in Coca-Cola's TPO initiative, allows for understanding cross-brand impacts, leading to more effective promotion strategies.
Combining retailer scanner data with ______ data, as seen in Coca-Cola's TPO initiative, allows for understanding cross-brand impacts, leading to more effective promotion strategies.
A frequent saying in CPG highlights the importance of ______ at the shelf, emphasizing that even the best-designed promotion plan can fail without it.
A frequent saying in CPG highlights the importance of ______ at the shelf, emphasizing that even the best-designed promotion plan can fail without it.
[Blank] compliance tracking involves measuring whether agreed prices, shelf displays, and features occurred on time and in full, providing crucial feedback for TPO.
[Blank] compliance tracking involves measuring whether agreed prices, shelf displays, and features occurred on time and in full, providing crucial feedback for TPO.
By analyzing in-store promo execution data, companies can quantify actual ______ rates and identify root causes, leading to a more realistic assessment of past promotion ROI.
By analyzing in-store promo execution data, companies can quantify actual ______ rates and identify root causes, leading to a more realistic assessment of past promotion ROI.
Integrating execution metrics into TPO simulations allows companies to model different scenarios based on varying levels of ______, understanding the potential downside risk if field execution falters.
Integrating execution metrics into TPO simulations allows companies to model different scenarios based on varying levels of ______, understanding the potential downside risk if field execution falters.
Retail Execution software enables field reps to capture store-level data on promotions, helping to confirm if a promotion is set up correctly and triggering ______ if not.
Retail Execution software enables field reps to capture store-level data on promotions, helping to confirm if a promotion is set up correctly and triggering ______ if not.
By tracking retail execution and ensuring timely display setups, brands have achieved higher ______ rates on promotions, leading to increased lifts and validating the investment in execution monitoring.
By tracking retail execution and ensuring timely display setups, brands have achieved higher ______ rates on promotions, leading to increased lifts and validating the investment in execution monitoring.
General Mills deployed a Trade Planning & Optimization solution to bring ______ science into its trade strategy.
General Mills deployed a Trade Planning & Optimization solution to bring ______ science into its trade strategy.
By 2023, Nestlé built ______ hubs to harness data for pricing and promo optimization in real time.
By 2023, Nestlé built ______ hubs to harness data for pricing and promo optimization in real time.
Hershey implemented an SAP-based TPM/TPO platform integrated with S/4HANA, resulting in improved accuracy in trade investment ______ and trade spend efficiency.
Hershey implemented an SAP-based TPM/TPO platform integrated with S/4HANA, resulting in improved accuracy in trade investment ______ and trade spend efficiency.
Kenvue, the consumer health spinoff of J&J, is placing big bets on data-driven marketing and ______ investment.
Kenvue, the consumer health spinoff of J&J, is placing big bets on data-driven marketing and ______ investment.
McKinsey’s report on CPG promotions observed that the manufacturers analyzing long-term promotion effects on household penetration or retailer category growth found new growth in otherwise ______ markets.
McKinsey’s report on CPG promotions observed that the manufacturers analyzing long-term promotion effects on household penetration or retailer category growth found new growth in otherwise ______ markets.
Key players in TPO software include SAP TPM/TPO, Oracle Demantra, and IBM DemandTec, which ingest large data volumes and apply advanced ______ to recommend optimal promotion plans.
Key players in TPO software include SAP TPM/TPO, Oracle Demantra, and IBM DemandTec, which ingest large data volumes and apply advanced ______ to recommend optimal promotion plans.
NielsenIQ and IRI offer household ______ services with analytics tools, allowing brands to analyze panel metrics and model shopper responses to pricing and promotions.
NielsenIQ and IRI offer household ______ services with analytics tools, allowing brands to analyze panel metrics and model shopper responses to pricing and promotions.
Retail Execution software focuses on in-store conditions, often using mobile apps for reps to report on promotions and dashboards for managers to track ______ by store.
Retail Execution software focuses on in-store conditions, often using mobile apps for reps to report on promotions and dashboards for managers to track ______ by store.
Machine learning models are used to improve uplift predictions by handling nonlinear effects and myriad factors, with the goal of continuously ______ as more promotions happen.
Machine learning models are used to improve uplift predictions by handling nonlinear effects and myriad factors, with the goal of continuously ______ as more promotions happen.
Manufacturers investing in household panel and retailer loyalty-card data along with traditional sales data are enabling more sophisticated promotional campaigns, driving short-term sales lifts and long-term brand ______.
Manufacturers investing in household panel and retailer loyalty-card data along with traditional sales data are enabling more sophisticated promotional campaigns, driving short-term sales lifts and long-term brand ______.
Analyzing millions of anonymized shopper transactions from panel/loyalty data allows companies to adjust strategies like offering more deals on entry-size packs to better target price-sensitive consumers and boost ______.
Analyzing millions of anonymized shopper transactions from panel/loyalty data allows companies to adjust strategies like offering more deals on entry-size packs to better target price-sensitive consumers and boost ______.
Hershey built a proprietary TPO system that blends shopping behavior data, promotion feedback, and other consumer insights to optimize trade ______.
Hershey built a proprietary TPO system that blends shopping behavior data, promotion feedback, and other consumer insights to optimize trade ______.
Recent advances in cloud analytics and ______ facilitate the use of consumer panel data in TPO by pulling in POS, shipments, and panel data into a unified model.
Recent advances in cloud analytics and ______ facilitate the use of consumer panel data in TPO by pulling in POS, shipments, and panel data into a unified model.
Kenvue launched a data-driven Perfect Store initiative to help retail partners eliminate out-of-stocks and ______ gaps by using AI to analyze store-level sales data.
Kenvue launched a data-driven Perfect Store initiative to help retail partners eliminate out-of-stocks and ______ gaps by using AI to analyze store-level sales data.
Deploying AI-powered image recognition to track in-store conditions provides objective data on whether a promotion’s execution matches ______ and agreements.
Deploying AI-powered image recognition to track in-store conditions provides objective data on whether a promotion’s execution matches ______ and agreements.
Modern Retail Execution platforms often include features like guided visit checklists and photo capture with AI analysis, improving consistency and issue ______ in retail compliance.
Modern Retail Execution platforms often include features like guided visit checklists and photo capture with AI analysis, improving consistency and issue ______ in retail compliance.
Technology-driven retail execution, from AI alerts to image audits, helps CPGs and retailers maintain price and promo ______, protecting the intended ROI of trade promotions.
Technology-driven retail execution, from AI alerts to image audits, helps CPGs and retailers maintain price and promo ______, protecting the intended ROI of trade promotions.
One European CPG integrated anonymized shopper data (panel/loyalty) and found it could pinpoint which promotions attracted ______ customers versus just subsidizing existing ones.
One European CPG integrated anonymized shopper data (panel/loyalty) and found it could pinpoint which promotions attracted ______ customers versus just subsidizing existing ones.
Classic research using panel data found the majority of a promotion’s sales “bump” can come from consumers switching from a ______ or stockpiling.
Classic research using panel data found the majority of a promotion’s sales “bump” can come from consumers switching from a ______ or stockpiling.
General Mills expected its Trade Planning & Optimization service to deliver insights and action plans to optimize trade spend and category ______.
General Mills expected its Trade Planning & Optimization service to deliver insights and action plans to optimize trade spend and category ______.
Another Nestlé initiative was a plan to double consumer data records and use ______ marketing to support promotions.
Another Nestlé initiative was a plan to double consumer data records and use ______ marketing to support promotions.
Hershey’s leadership mentioned blending data on shopping and consumer behaviors, promotion feedback and effectiveness, and AI to optimize promotional spend via an in-______ system.
Hershey’s leadership mentioned blending data on shopping and consumer behaviors, promotion feedback and effectiveness, and AI to optimize promotional spend via an in-______ system.
Kenvue's data science lead spoke about leveraging AI across the business, and roles like “Trade Promotions Product Owner” seek experience in data analysis and ______ tools.
Kenvue's data science lead spoke about leveraging AI across the business, and roles like “Trade Promotions Product Owner” seek experience in data analysis and ______ tools.
A Coca-Cola case study noted Coke implementing SAP’s TPO solution globally, achieving better forecast accuracy and promotion ROI through data ______.
A Coca-Cola case study noted Coke implementing SAP’s TPO solution globally, achieving better forecast accuracy and promotion ROI through data ______.
Visualfabriq’s UI emphasizes quick scenario planning with AI-guided suggestions, and UpClear’s BluePlanner offers an ______-like interface but powered by cloud analytics in the back-end.
Visualfabriq’s UI emphasizes quick scenario planning with AI-guided suggestions, and UpClear’s BluePlanner offers an ______-like interface but powered by cloud analytics in the back-end.
AI agents simulate how a promotion strategy will play out over time and adjust to maximize long-term metrics (like market ______).
AI agents simulate how a promotion strategy will play out over time and adjust to maximize long-term metrics (like market ______).
A Retail chain partnered with tech firm Ailet to roll out an ______ compliance tool.
A Retail chain partnered with tech firm Ailet to roll out an ______ compliance tool.
Modern TPO software emphasizes seamless data ______ – pulling in POS, shipments, and panel/consumer data into a unified model.
Modern TPO software emphasizes seamless data ______ – pulling in POS, shipments, and panel/consumer data into a unified model.
The best TPO platforms offer one-click ______ simulations and automated ‘what-if’ analyses that incorporate panel insights on how different shopper segments might respond.
The best TPO platforms offer one-click ______ simulations and automated ‘what-if’ analyses that incorporate panel insights on how different shopper segments might respond.
By 2023, POI introduced a new evaluation category for Advanced Imaging Technology (IR/AR), underscoring how critical image ______ has become for in-store execution .
By 2023, POI introduced a new evaluation category for Advanced Imaging Technology (IR/AR), underscoring how critical image ______ has become for in-store execution .
The pilot saw planogram compliance jump from ~50% to 100%, yielding a +1.5% sales ______ in those stores compared to control stores without the tool.
The pilot saw planogram compliance jump from ~50% to 100%, yielding a +1.5% sales ______ in those stores compared to control stores without the tool.
Flashcards
Consumer Panel Data
Consumer Panel Data
Detailed purchase information from a representative household sample.
Brand Switching Analysis
Brand Switching Analysis
Analyzing consumer panel data to understand purchase patterns.
Promotional Compliance Tracking
Promotional Compliance Tracking
Measuring whether agreed prices, displays, and features happened on time.
Retail Execution (RetEx) Software
Retail Execution (RetEx) Software
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Collaborative TPO
Collaborative TPO
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Machine Learning in TPO
Machine Learning in TPO
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Shopper-Level Insights
Shopper-Level Insights
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Perfect Store AI Program
Perfect Store AI Program
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Image Recognition
Image Recognition
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Execution-Compliance Gap
Execution-Compliance Gap
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In-Flight Promotion Optimization
In-Flight Promotion Optimization
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AI Agents in TPO
AI Agents in TPO
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Study Notes
Role of Consumer Panel Data in TPO
- Consumer panel data offers detailed purchase information from a representative sample of households.
- It enriches trade promotion optimization (TPO) by revealing patterns such as brand switching and repeat purchase rates.
- Household panel data can quantify how promotions induce consumers to switch brands, aiding manufacturers in distinguishing incremental volume.
- TPO platforms that use panel data generate more accurate forecasts and lift estimates by accounting for consumer behavior nuances.
- Accenture's TPO solution incorporated consumption data to simulate promotions' net effect on volume, beyond just shipments.
- TPO simulations can predict the long-term outcomes of promotions better with panel data.
- Panel data helps estimate how many new shoppers a promotion recruits versus how many purchases just shifted timing or brand.
- Advanced CPGs analyze panel and loyalty data to assess promotion impacts on household penetration and shopper retention.
- One European CPG used shopper data to identify which promotions attracted new customers versus subsidizing existing ones.
- The company uses deep discounts for volume boosts and non-price promotions for long-term brand gains, based on panel data insights.
- Consumer panel data enhances TPO by grounding models in actual consumer responses.
- It answers who bought during a promotion and whether the promotion expanded the buyer base or just caused switching.
- This leads to more realistic scenario planning and optimization.
Case Example – Brand Switching Analysis
- A large portion of promotional volume comes from brand switching rather than category expansion.
- Panel-derived elasticities in TPO systems can forecast outcomes more accurately.
- If panel data shows 70% of coupon volume comes at the expense of future purchases or competing brands, an optimizer might simulate a lower ROI.
- Consumer panel metrics like household penetration, buy rate, purchase frequency, and share of requirements become key inputs in optimization.
- Companies obtain metrics from NielsenIQ or IRI panel services and feed them into TPO platforms.
- Techniques such as multivariate regression are applied to isolate promotion effects.
- Panel-based marketing mix models decompose a sales lift into baseline vs. incremental, with drivers like new buyers vs. increased spend per buyer.
- TPO planners can simulate how changes in promotion depth or frequency might impact repeat purchase rates or brand loyalty.
- Panel data moves TPO beyond just total sales to understanding who will drive those sales and how to retain them.
Successful Integrations
- Many CPG firms have found success by integrating TPO with consumer insights.
- Coca-Cola's TPO initiative leveraged retailer scanner data combined with panel data to understand cross-brand impacts.
- General Mills deployed a Trade Planning & Optimization service to understand consumer behavior at the store shelf and predict the impact of pricing and promo changes.
- Procter & Gamble (P&G) has used machine learning on years of household panel and sales data to fine-tune promotion response models.
- Incorporating consumer panel data into TPO boosts forecast accuracy and promotional ROI.
How Retail Execution Feeds into Optimization
- A frequent saying in CPG is “plan in headquarters, but win at the shelf.”
- Retail execution data – price and promotion compliance information – is a crucial feedback loop for TPO.
- In-store promotional compliance is often far lower than assumed.
- The Promotion Optimization Institute found that 75% of CPG brands struggle to execute in-store promotions effectively.
- A promotion that isn’t executed can't deliver the expected lift.
- End-cap displays have about 47% on-plan execution vs. 43% not executed as intended, whereas more complex displays see over 90% non-compliance.
Incorporating Execution Data
- Modern TPO approaches integrate execution metrics to adjust and improve plans.
- Promotional compliance tracking measures whether agreed prices, shelf displays, and features occurred on time and in full.
- Kimberly-Clark undertook a project to audit in-store promo execution, finding compliance rates as low as 15–50% in many cases.
- They equipped field teams with a mobile app to capture shelf conditions during promotions.
- These insights allowed a more realistic assessment of past promotion ROI and informed future trade plans.
- Companies are now baking expected compliance levels into their TPO simulations.
Tools for Tracking & Optimization
- Many companies deploy Retail Execution (RetEx) software alongside TPO.
- RetEx systems enable field sales reps or merchandisers to capture store-level data on promotions.
- UpClear notes that linking TPM with Retail Execution is key.
- TPM handles planning, while Retail Execution systems confirm what happens in the store.
- Common metrics fed back into TPO include percentage of stores compliant, timing adherence, display compliance, and out-of-stock rates during promo.
- Machine vision technology is an emerging aid, using image recognition AI to scan shelf photos and automatically detect compliance issues.
Impact on Effectiveness
- Improving execution boosts promotion ROI.
- Roamler highlights that using on-demand field reps to ensure timely display setups, brands have achieved an average compliance rate of 91% on promotions.
- Those promotions then see higher lifts, validating the investment in execution monitoring.
- Companies that closely track execution can quantify the lost sales from non-compliance.
- Retailers also benefit, since a well-run promotion drives their sales too.
- Many manufacturers now include execution clauses in trade agreements and share compliance data with retail partners to collaboratively improve.
- Retail execution data feeds TPO by providing the ground truth of promotional reality.
- Forward-looking organizations treat TPO and retail execution as two sides of the same coin.
Case Studies and Industry Reports Integrating TPO, Panel Data & Execution
- General Mills deployed a Trade Planning & Optimization solution to analyze consumer behavior and predict the impact of price/promotional changes.
- Nestlé built analytics hubs to harness data for pricing and promo optimization in real time.
- Hershey implemented an SAP-based TPM/TPO platform integrated with S/4HANA.
- This transformation had striking results: ~99.5% accuracy in trade investment forecasts and a 730 basis point improvement in trade spend efficiency.
- Hershey is aggregating shopper data and field execution feedback into their models.
- Kenvue, the consumer health spinoff of J&J, is placing big bets on data-driven marketing and trade investment.
- Kenvue is setting up modern TPO capabilities that likely integrate syndicated sales data, consumer panel insights, and robust retail execution tracking.
- Numerous industry reports document companies tying together these elements.
- A Coca-Cola case study noted Coke implementing SAP’s TPO solution globally, achieving better forecast accuracy and promotion ROI through data consolidation.
- Unilever has spoken about using Nielsen panel data to understand promotion impacts across categories.
- Companies that integrate consumer panel insights and execution monitoring into TPO can find incremental growth and efficiency where others cannot.
- Siloed trade promotion management is giving way to integrated, analytics-driven optimization, with consumer and execution data as core inputs.
TPO and RGM Software
- The landscape of software for trade promotion optimization has matured, with solutions often bundled into broader Revenue Growth Management (RGM) suites.
- These tools ingest large volumes of data and apply advanced analytics to recommend optimal promotion plans.
- Many TPO tools provide "what-if" simulators and constraint-based optimization.
- A common thread is the ability to integrate external data like syndicated sales and consumer panel data. Consumer Panel Data Analysis Tools
- On the consumer insights side, the primary sources are NielsenIQ and IRI, which offer household panel services.
- NielsenIQ recently acquired Cornerstone Capabilities, aiming to integrate POS, panel, and financial data in one platform.
- Advanced analytics platforms and consultancies offer services to fuse panel data into marketing mix models that inform TPO.
- Novel approaches use AI to enrich retailer loyalty card data with panel data.
Retail Execution & Compliance Tech
- Retail Execution software and field force automation tools are abundant.
- These often use mobile apps for reps to report on promotions, plus dashboards for managers to track compliance by store/day/SKU.
- Some incorporate image recognition.
- Modern TPM/TPO suites can pull in these execution metrics via APIs.
- Some TPO systems even adjust their post-event analysis automatically by weighting results by compliance.
AI and Emerging Trends
- Machine learning models are being used to improve uplift predictions.
- Solvers and AI agents can crunch through millions of promotion calendar combinations to find the optimal mix.
- TPO tools are moving towards real-time or near-real-time data ingestion with the rise of cloud data warehouses.
- Collaborative TPO is where manufacturers and retailers share a platform to plan and evaluate promotions together.
- Emerging TPO software focuses on usability, intuitive UIs with scenario simulators, slider adjustments, and visualization of outcomes.
- Beyond sales uplift, tools now try to integrate multiple KPIs – profit, supply chain costs, and brand health metrics from consumer data.
Consumer Panel Data Enhancing TPO Predictions
- CPG companies are increasingly integrating consumer panel and loyalty data into their trade promotion optimization (TPO) processes.
- By combining household panel insights with point-of-sale (POS) and internal data, firms can better predict promotion outcomes and simulate scenarios with greater accuracy.
- Advanced analytics (AI/ML) make it possible to mine these rich datasets for patterns in shopper behavior, leading to more precise and data-driven promotion planning.
Leading CPGs Use Panel Data
- Top manufacturers have invested in accessing household panel and retailer loyalty-card data alongside traditional sales data.
- This has enabled more sophisticated promotional campaigns that drive both short-term sales lifts and long-term brand health.
- Analytics-driven TPO models can simulate promotion impacts on household penetration and even basket size at retailers.
Shopper-Level Insights in Action
- One European CPG company overhauled its promotions by analyzing millions of anonymized shopper transactions from panel/loyalty data.
- This granular approach uncovered surprising truths.
- Armed with insights, the company adjusted strategy to better target that segment and boost penetration.
- The analysis also quantified which promotions had lasting effects.
- Merging panel data with AI helped challenge old assumptions and identify win-win promotions that grow both the category and the brand.
Hershey’s Data-Driven TPO
- Hershey built a proprietary TPO system that blends shopping behavior data, promotion feedback, and other consumer insights to optimize trade spend.
- This in-house platform covered ~40% of Hershey’s product portfolio, guiding promotion decisions with machine learning.
Technology Enablers
- Recent advances in cloud analytics and automation facilitate these uses of consumer panel data in TPO.
- Modern TPO software emphasizes seamless data integration – pulling in POS, shipments, and panel/consumer data into a unified model.
- AI/ML algorithms then crunch these diverse inputs to detect non-obvious drivers of lift and to generate predictive models.
- According to industry experts, the best TPO platforms now offer one-click scenario simulations and automated what-if analyses that incorporate panel insights on how different shopper segments might respond.
- The result is more accurate promotion forecasts and smarter allocation of trade dollars.
- Leveraging consumer panel data and analyzing it with AI has become a critical best practice for CPGs aiming to elevate their trade promotion ROI.
Retail Execution & Promotion Compliance Tracking
- Ensuring that promotions are executed correctly at the store level is just as important as planning the right deals.
- In the 2020s, companies have turned to technology to monitor retail execution and compliance in real time.
- These innovations help bridge the last mile of trade promotions, making sure that agreed prices, displays, and product availability actually materialize in stores.
- Several firms have reported improved promotion compliance rates and more consistent retail execution thanks to such solutions.
Kenvue’s “Perfect Store” AI Program
- Kenvue launched a data-driven Perfect Store initiative to help retail partners eliminate out-of-stocks and execution gaps.
- Using AI, Kenvue analyzes each retailer’s daily store-level sales data to spot anomalies that suggest a promotion isn’t being executed properly.
- This proactive alerting has led to great results in preventing empty shelves during promotions and ensuring promotion compliance at the store level.
Image Recognition for Shelf Compliance
- A major trend in the 2020s is deploying AI-powered image recognition to track in-store conditions.
- CPG companies and retailers use smartphone apps or shelf cameras to photograph displays, then algorithms identify products, pricing, and placement instantly.
- Store employees went from spending an hour checking shelf layouts to just 15 minutes with the app guiding them on exactly what to fix
- Automation and AI can dramatically improve promotion compliance and reduce manual auditing effort.
- The next phase is adding price tag monitoring.
Real-Time Field Execution Apps
- Many CPG sales teams now equip their field reps and merchandisers with mobile apps to audit promotions, backed by analytics.
- These apps can tell a rep which high-value stores or displays to prioritize on a given day and can instantly analyze a photo of a shelf to detect missing promo tags or products.
- Companies using such tools report faster issue resolution and higher consistency.
- Technology-driven retail execution is helping CPGs and retailers maintain price and promo compliance, thereby protecting the intended ROI of trade promotions.
- Compliance and ROI Impact
- The payoff from improved retail execution is measurable.
- Industry surveys historically found that actual display compliance in stores was far lower than managers assumed.
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