Price & Promotions Analytics for FMCG

Siloed data sources

Sell-in, sell-out, promotion calendars, and consumer panel data sit in separate systems. Nobody sees the full picture.

Versions of the truth

Without embedded business logic, uplift and base-incremental numbers are not comparable and cannot be trusted for planning.

100s

Manual spreadsheets

Manual models do not scale. Each analyst maintaining their own excel file creates many versions of the truth and unreliable decisions.

Weeks

Lost to slow analysis

By the time pricing and promo data is harmonized and cleaned, the window for action has already passed.

What is happening?

Where are the gaps?

What would happen if?

What are prices doing in my markets right now?

Where are there opportunities in the current price landscape?

What would happen if I — or my competitor — changed prices?

→Price Tracking & Monitoring
→Price Trend Analysis
→Promotion Execution Monitoring
→Competitor Price Surveillance
→In-store Compliance Tracking

→Price Range Analysis
→Price Tier & Assortment Analysis
→Price Segmentation & Structure
→Promotional ROI Analysis
→Promo Planning & Scenario Analysis

→Price Elasticity Modelling
→Price Optimisation
→Promotional Volume Forecasting
→Forward Buy Estimation
→Post-Promo Dip Modelling

What is happening?

What are prices doing in my markets right now?

→Price Tracking & Monitoring
→Price Trend Analysis
→Promotion Execution Monitoring
→Competitor Price Surveillance
→In-store Compliance Tracking

Where are the gaps?

Where are there opportunities in the current price landscape?

→Price Range Analysis
→Price Tier & Assortment Analysis
→Price Segmentation & Structure
→Promotional ROI Analysis
→Promo Planning & Scenario Analysis

What would happen if?

What would happen if I — or my competitor — changed prices?

→Price Elasticity Modelling
→Price Optimisation
→Promotional Volume Forecasting
→Forward Buy Estimation
→Post-Promo Dip Modelling

Descriptive 01

Price Tracking & Competitive Monitoring

Track your prices and competitor prices across markets, retailers, and SKUs in a single view. Understand current price-gaps and identify where your portfolio's positioning is at risk before it shows up in volume.

Prescriptive 02

Price Range & Assortment Analysis

Map the full price landscape — which brands occupy which price tiers, where you have presence, and where the gaps are. Price range analysis shows what price points have already been tested in the market, making competitor price moves more predictable. Price tier charts give a virtual shelf view of your portfolio and competitors by segment performance.

Predictive 03

Price Elasticity Modeling & Optimization

Quantify how volume responds to a price change, at product level, by price point, and accounting for competitor reaction. PulseQED models elasticity across your portfolio so teams can simulate price changes, estimate volume and margin impact, and identify which products or markets carry the highest risk before committing to a price move.

DESCRIPTIVE 01

Promotion Execution Monitoring

Track whether promotions are running as planned — in-store compliance, retailer sell-in patterns, and promotional period coverage. Identify execution gaps before they erode the returns you projected during planning.

Prescriptive 02

Promotional ROI Analysis

Measure the return on every promotional event with a full base-incremental split, post-promo dip accounting, and forward buy estimation. See which promotional formats, retailers, and SKUs deliver genuine incremental volume — and which are simply pulling forward demand at a margin cost. Integrates sell-in, sell-out, promotion calendar, A&P spend, consumer panel, and magazine data in a single governed model.

Predictive 03

Promotional Volume Forecasting & Planning

Forecast the volume impact of planned promotions before committing trade spend. Account for historical uplift patterns, the post-promo dip, and retailer forward buy behaviour. Run scenario analyses to compare promotional formats, depth of discount, and timing — and identify the highest-return options before the promotion calendar is locked.

Trade Promotion Planning 04

Prescriptive Planning and Workflow

Build, approve, and manage promotions from a single governed platform. PulseQED's trade promotion planning module covers promotion proposals with per-item volume and margin visibility, customizable approval flows that reflect your organization’s authority levels, and a color-coded promo calendar with weekly planning detail — all linked to your ERP system. Centralized data and automated profiles reduce manual work and eliminate the version-control problems that come with spreadsheet-based planning.

Data layer

Sell-out data

EPOS / retail scanning — Nielsen, IRI, retailer direct. Uplifts, base-incremental split, distribution, rotation, and competitor volume.

Sell-in data

Internal shipment and volume records. Full P&L breakdown. Must match the periodicity of sell-out data for reliable promotional evaluation.

Promo calendar

SAP TPM, Salesforce TPM, and ERP-linked promotion schedules. On-invoice and off-invoice discount conditions. Promotion uplift estimations.

A&P spend

Advertising and promotional investment by activity type. Required to calculate full return on promotional events and allocate trade spend correctly.

Consumer panel

Household and consumer panels — penetration, trip frequency, loyalty, and basket value data. Measures promotional reach at consumer level.

Flyer Data

Promotional features — competitor and own-brand. Position in magazine, price cut shown, SKUs featured. Input for share-of-voice and promotional awareness analysis

Finance data

P&L breakdown, margin, accruals, invoice conditions. Essential for true ROI calculation and margin impact assessment by promotional event.

Custom sources

Ad hoc shop analysis, field reports, online channel data, and proprietary data connectors. PulseQED supports custom source integration for non-standard data types.

One source of truth

All pricing and promotional data harmonised in a single governed platform.

Three levels of analysis

Descriptive tracking, prescriptive gap analysis, and predictive modelling — all in one platform, without switching tools.

Always-on visibility

Insights available at the speed decisions are made — not weeks after a promotional period has closed.

Predictive before you commit

Price elasticity models and promotional forecasts available before decisions are made — not as post-mortems.

Integrated data foundation

Sell-in, sell-out, promo calendar, consumer panel, and finance data harmonised automatically — so the analysis is reliable from the start.

30–70% planning efficiency gain

Unified marketing insights on an always-on basis deliver measurable improvements in marketing planning efficiency.

01

Price elasticity

The ratio between a price change and the resulting volume change. A price elasticity of −2 means a 5% price increase leads to a 10% volume decline.
Models at product, brand & portfolio level — accounts for competitor pricing, price-gap, and market context
02

Promotional Uplift

Incremental volume sold during a promotion above what would have sold without it. Accurate measurement requires integrating sell-out, sell-in, and promotion calendar data.
Connects and harmonises all three in a single governed data layer — always-on analysis, no manual reconciliation
03

Base-incremental split

Separates volume that would have sold regardless of the promotion (base) from volume attributable to the activity (incremental).
Essential for calculating true promotional ROI and avoiding over-investment in low-return events
04

Post-promo dip

The period of reduced sales following a promotion, caused by consumer or retailer stock-loading (forward buy).
Tracks the full promotional window — before, during, and after — revealing net volume impact, not just peak-week spikes

Common questions about PulseQED's Price & Promotions module.

What data do I need to get started with price elasticity analysis in PulseQED?

The minimum starting point is sell-out data (EPOS or retail scanning). For richer, more actionable elasticity models, PulseQED also integrates sell-in data, retail data, competitor pricing, and promotion calendar data — so the model accounts for price-gap, competitor movement, and promotional periods rather than treating price changes in isolation.

How does PulseQED calculate promotional uplift?

Promotional uplift is calculated by integrating sell-out data, sell-in patterns, and the promotion calendar into a single harmonised model. PulseQED separates baseline volume from incremental volume driven by the promotion — and accounts for the post-promo dip and retailer forward buy, so teams see net impact rather than just the promotional week peak.

Can PulseQED handle both internal and external data sources for promotional analysis?

Yes. PulseQED connects internal sources (sell-in, promotion calendar / TPM systems, P&L data, A&P spend) and external sources (EPOS / sell-out data, consumer or household panel data, flyer promotional data) into a single harmonised layer. No manual reconciliation required.

How does PulseQED handle competitor pricing data?

Competitor pricing data from sell-out and EPOS sources is integrated alongside your own pricing data, enabling side-by-side price-gap analysis and price range tracking. The platform tracks what price points competitors have occupied historically — critical input for elasticity modelling and price change scenario planning.

What is the difference between promotional monitoring and promotional ROI analysis?

Promotional monitoring (descriptive) tracks whether a promotion is running as planned — sell-in patterns, in-store compliance, and real-time volume during the promotional period. Promotional ROI analysis (prescriptive) measures the full return after the fact — including base-incremental split, post-promo dip, forward buy impact, and net margin outcome. Both are available in PulseQED from the same data foundation.

How long does it take to get the Price & Promotions module live?

Most teams see their initial unified dashboards within 4–8 weeks. The timeline depends on the number and complexity of data sources being connected. PulseQED follows a five-step integration process: discovery and architecture mapping, source connection and data validation, harmonisation and business logic setup, deployment and output connection, and always-on monitoring.

Price and promotions intelligence, connected

Are you able to forecast the impact of changes in pricing and promotion, how confident are you on your estimations on pricing and promotion decisions?

From price and promotion monitoring to modeling of price and promotion effects on one platform. Using advanced elasticity and promotion uplift techniques.

What PulseQED delivers for pricing and promotions teams.