Campaign Planning – Direct Wines Using historic data to improve planning and forecasting TFM&A 2014 David Lockwood: Direct Wines Terry Hogan: Golden Orb.

Slides:



Advertisements
Similar presentations
CHAPTER22 CASH FLOW STATEMENTS.
Advertisements

UNIT 1 CONCEPT OF MANAGERIAL ECONOMICS (continue)
Aladdin Overview *************************** NOTICE ************************* PROPRIETARY AND CONFIDENTIAL MATERIAL. DISTRIBUTION, USE, AND DISCLOSURE.
Chapter 9 Analyzing Results Using The Income Statement
Scottish National Golf Tourism Monitor. © Sports Marketing Surveys Ltd 2 »The programme agreed with VisitScotland & the Partner Agencies for the Scottish.
Chapter 1 Business Driven Technology
Fully integrated AX module Demand forecasts Sales orders Transfer orders Purchase orders Production orders Master Planning Demand Forecasting.
Customer Lifetime Value – Direct Wines Customer Lifetime Value TFM&A 2014 David Lockwood: Direct Wines Terry Hogan: Golden Orb.
BD Finance Training. Table of Contents:  The BD Bible  Stages of working with the Bible  Your KPIs  Napoleon Tools  Cash Flow  The Next Step Dream.
SharePoint 2010 Business Intelligence Module 11: Performance Point.
Session 7 Case studies and Solutions Nursery Management Understanding and Managing Finance.
Hyperion EPM Overview & Case Study.
Business Intelligence Michael Gross Tina Larsell Chad Anderson.
Oracle General Ledger, Financial Reporting and Data Warehouse 6/22/2015 RIAS PHASE II Overview.
Microsoft Office PerformancePoint Server 2007 Planning Module Sony Jose
Chapter 6 IT Cost Control Management of Computer System Performance.
2 Why Sage Intelligence What is Sage Intelligence Software Demonstrations Success Story Competitive Advantages Questions You May Have Icons and Components.
Financing Unit 6.
Revenue Model Revenue Is the amount of money that a company actually receives during a specific period, including discounts and deductions for returned.
Controlling Costs; The processes…. Gilbert Noussitou 2006 L3-1.
Demand Forecasting for Dynamics AX
CHAPTER TWO The Nature of Costs. McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc., All Rights Reserved. 2-2 Outline of Chapter 2 The Nature of.
Moving Data within a Planning Application at Avago Technologies Audrey Holifield Project Manager, FP&A Avago Technologies Patrick Louie Director Hackett.
Presentation for Go to Market Analytics Kautilya Business Analytics.
Financial Assessment and
Cost Volume Profit Analysis or Break Even Analysis Dr. R. Jayaraj, M.A., Ph.D.,
© ALG Software 2005 Leveraging What You’ve Got Business Performance Management from the bottom up July 2005 Richard Barrett VP Marketing ALG Software Business.
Costing and Pricing Judith Harrison FCCA DipChA Manager of VAS’s Community Accountancy & Payroll Service.
Financial Statement Modeling & Spreadsheet Engineering “Training in spreadsheet modeling improves both the efficiency and effectiveness with which analysts.
2. Marketing planning After carefully studying this chapter, you should be able to: Explain why information is important to management; Explain marketing’s.
INFO 637Lecture #41 Software Engineering Process II Development Plan INFO 637 Glenn Booker.
Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. Performance Evaluation Chapter 10 1.
FINANCIAL ACCOUNTING Tools for Business Decision-Making KIMMEL  WEYGANDT  KIESO  TRENHOLM  IRVINE CHAPTER 5: Merchandising Operations.
Optimizing Marketing Spend Through Multi-Source Conversion Attribution David Jenkins.
5 CHAPTER Measuring GDP and Economic Growth.
Information Systems for Competitive Advantage Source: Management Information System, 10 edition Raymond McLeod & George Schell.
Planning BOMS or Product Families: That is the Question? Jerry Edwards.
Data Warehouse. Design DataWarehouse Key Design Considerations it is important to consider the intended purpose of the data warehouse or business intelligence.
OLAP Council APB-1 OLAP Benchmark Release II
Supporter Attrition within Regular Giving at PDSA Victoria Barham Senior Marketing Analyst
DEFINING the BUSINESS REQUIREMENTS. Introduction OLTP and DW planning is different in term of requirements clarity Planning DW is about solving users’
Business plan Name: Date: Author: Version:. business plan This section is usually the first in your business plan but can be finalized when the other.
Project Cost Management
Configuration Management and Change Control Change is inevitable! So it has to be planned for and managed.
Copyright  Oracle Corporation, All rights reserved. ® 11 i Overview of Cost Management.
Analyzing Results Using The Income Statement Pertemuan 9 Matakuliah: V Operational Tata Hidang II Tahun: 2010.
Performance Indicators Workshop for African countries on the Implementation of International Recommendations for Distributive Trade Statistics May.
Industry Goals. Increase Customer Satisfaction  On-Time, On-Budget, Within Scope  Ensure High Quality Delivery Increase Margins  Drive Efficiencies.
Slot Management April Schneider 9/4/14 Greenlight Meeting.
Trading Accounts.
Manufacturing Solutions- Knitting TexManage. Knitting Functional Flow Receipt of Orders Generation of Internal Order Yarn Requirement Allocation of Machinery.
Customer Relationship Management (CRM) Chapter 4 Customer Portfolio Analysis Learning Objectives Why customer portfolio analysis is necessary for CRM implementation.
© 2005 Right90, Inc. All rights reserved. Forecasting 101 For Salesforce.com Somrat Niyogi Right90 Corporate Sales February 29, 2016.
1 Copyright © 2006, Oracle. All rights reserved. Defining OLAP Concepts.
The fully integrated advertising management system Ad Sys.
Chapter 36 Financing the Business Section 36.1 Preparing Financial Documents Section 36.2 Financial Aspect of a Business Plan Section 36.1 Preparing Financial.
Information Technology Project Management, Seventh Edition Note: See the text itself for full citations.
Calculation Summary Card Calculating Shopper Numbers Calculating an amount as a % = The value of the amount you want to know as a % The total number X.
Developing the schedule – Tracking Gantt charts Critical path method – Longest path, earliest time Schedule trade-offs using CPM – Free slack, total slack.
Capital Programme Cost Reduction
Just Energy – Prophix story
Merchandising Operations
Chapter 7: Project Cost Management
Integra Telecommunications – Prophix story
Inventory is used to illustrate:
Performance Measurement
Create, Collaborate, Construct - A Guide to Projects
Business Intelligence
Super-project.eu Lecture
Enterprise Business Systems
Presentation transcript:

Campaign Planning – Direct Wines Using historic data to improve planning and forecasting TFM&A 2014 David Lockwood: Direct Wines Terry Hogan: Golden Orb

Campaign Planning – Direct Wines Context UK planning based on multiple linked spreadsheets –Other countries followed different approaches –Budget process took up a lot of resource No single reporting tool or data warehouse –UK business on different systems from the rest of the world –Assembling data for marketing meetings very time-consuming Forecasting continuity sales cumbersome and inflexible Different terminology/KPIs in use in different parts of the business –In some cases the same term being used to mean something different in different countries Decided to build a global marketing system to support marketing across all countries

Campaign Planning – Direct Wines A single system to store and report on past campaigns –Automatic feeds from UK and international transactional systems One system for reporting and planning future campaigns –Learnings from past campaigns feed into planning future ones Shared database rather than Excel –Single version of the truth –One set of definitions, terminology –Standard, automated methodology for calculating/forecasting Outline – system fundamentals

Campaign Planning – Direct Wines Modules Sales reporting Campaign planning Forecasting

Campaign Planning – Direct Wines Campaign-level sales reporting Gross/net Orders – by day, order channel, response code... Comparison with budget/ plan Detailed campaign financials Numbers split out in various ways –Response code –Test –List/publication Products sold

Campaign Planning – Direct Wines Time-based crosstab reporting Aggregates the results of multiple campaigns over time Can split out results across several dimensions Typical dimensions for reporting –Campaign –Response code attributes (activity, media type, list...) –Time – various levels –Order channel Ability to view top-level numbers and then to drill into the detail

Campaign Planning – Direct Wines Sales reporting - considerations Need a feed of order information from transactional systems –Orders/revenue –Product costs –Aggregate numbers by e.g. response code, day –Doesnt need details of individual orders or customers Probably a daily feed needed for campaign sales (overnight) –Other data can be updated/stored weekly Dont over-complicate or request too much detail –There are always trade-offs between detail and performance –Different levels of detail are appropriate for different measures

Campaign Planning – Direct Wines Campaign planning: summary of the process Volume X Response rate % Cases per order P&P, AOV and product cost Existing customer % Response curve & channel split OrdersCasesRevenue /margin Recruits Phasing Application of direct/indirect fulfilment and marketing costs gives net contribution To phase the sales forecast over time, you need to build a sales profile/response curve

Campaign Planning – Direct Wines Building a response curve Build different curves for different campaign types and media Requires good data, correct campaign details Choose a number of representative campaigns Express each response codes sales in terms of days after start date Calculate the overall percentage of orders received by day 1, 2, 3...

Campaign Planning – Direct Wines Phasing the campaign forecast Apply sales profile to the top-level campaign numbers –Plus order channel split if relevant –For Direct Wines, we generate a daily sales forecast by order channel The system can build an aggregate curve if the start dates are different Unless you have a very simple product range, this sort of tool is not appropriate for detailed product planning –Primarily a tool for planning marketing activity

Campaign Planning – Direct Wines Reforecasting a campaign after it has started The response curve can be applied to the actual sales to date to create a revised forecast of final sales Can apply a different percentage to orders through each order channel Ideally needs to be done every day for each response code and order channel Day-of-week adjustments may be needed for an accurate reforecast Changes in forecast flow through to customer service, merchandising, finance

Campaign Planning – Direct Wines Modelling non-campaign sales Direct Wines have a continuity business in addition to standard customer marketing –The continuity business generates sales without an associated campaign that needs planning –Sales to existing continuity members can be modelled on the basis of their existing memberships –We can start to forecast continuity back-end sales when planning recruitment or upgrade campaigns The main continuity forecast is rebuilt weekly –However changes to recruitment or upgrade campaigns have an immediate knock-on effect

Campaign Planning – Direct Wines Continuity modelling A complex area – the full details are beyond the scope of this talk Continuity behaviour is quite predictable over time for a reasonably large group of customers Simple approach – apply a curve to the initial recruits Two enhancements: –Actions at cycle n depend on actions at cycle n-1 –For current cycle, we can use the actions received to date to adjust our estimate

Campaign Planning – Direct Wines Thank You