MARKETING INTELLIGENCE_Marketing ROI, come aumentare i ritorni sugli investimenti
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Transcript of MARKETING INTELLIGENCE_Marketing ROI, come aumentare i ritorni sugli investimenti
MARKETING ROI: come aumentare i ritorni sugli investimenti
Valori e sfide
DATI > INFORMAZIONI> CONOSCENZA > AZIONI VALORE
Core business Ottimizzazione
Azioni per misurare efficienza ed impatti
Incremento del business Sviluppo
Visione del business incentrata sulle 5P
Digital Advantage Opportunitá
Sviluppare il sistema di TRM
(CRM + VRM + SRM)
Nuovo paradigma Ricreare
Trasformare l’as is in nuovi contesti e nuovi use cases per generare
nuove opportunitá
Dati
Dig
ita
l
1&2 Le sfide nel Core Business
Incrementare il valore del cliente (e la customer retention)
Incrementare le conversion rates
Creare e lanciare nuovi servizi
Acquisire nuovi clienti (con un targeting piú specifico)
Incrementare la brand awarness
Incrementare l’efficacia delle campagne
Incrementare la profittabilitá delle carte fedeltá
3. Strategic business transformation: Digital Advantage
TRM = (CRM + VRM +SRM)
Riconciliare le informazioni provenienti da tutti i touch point digitali
Identificare in anticipo i segnali che possono avere
effetti positivi o negativi sul brand
Condividere con le comunitá, creare iniziative di crowd sourcing, identificare gli influencers
4. Intelligence for everyone: un nuovo paradigma Scontrinato
Logistica
CDG
ERP
Social
Intelligence for everyone
TRM P
rice
O
pti
miz
atio
n
Fore
cast
ing
Res
tock
Car
d lo
yalt
y
Mar
keti
ng
Mix
Le necessitá : incrementare revenue & margini Creare nuovi prodotti
Utilizzare le campagne marketing come asset strategico
IL NOTO...
Response Modeling Don’t Contact Those Who Won’t Respond
Business Initiative Avoid contacting those who will not respond to an offer
Approach
Using responses (and non-responses) to past campaigns, we can predict who will (and won’t) respond tomorrow
In addition, we can assign a score to each customer to enable ranking Then make the offer only to those at a sufficiently high score
Example
Suppose you have marketing budget to solicit 40% of your customer base with an offer Without a method to rank customers response, the target list is random
• On average, the result would be 40% of all possible responders By using a predictive model to rank customers, we can contact just 10% of the most likely
responders and find the same 40%
Benefits
This results in higher response rates and more profitable campaigns One fourth as many to contact, a cost savings of 75% and much greater campaign efficiency
Uplift Modeling: Don’t Contact Those Who’d Respond Anyway
Business Initiative Don’t contact those who will respond without the offer
Approach
We expand response modeling to analyze the additional revenue due to the campaign So here, we predict whether someone will buy without contact We categorize customers into 4 segments
• Do-not-disturbs – buy only when left alone • Lost Causes – don’t buy whether they get offers or not • Persuadables – buy when they receive an offer
– This group is worthy of the cost of the offer (traditional response modeling) • Sure Things - buy whether they get offers or not
– This group should be held out as they buy anyway (uplift modeling) – The cost of contacting is saved
Benefits
Offers are focused on the Persuadables as they buy when contacted Sure Things buy without the offer, so campaign costs are reduced, with no impact to
revenue
Churn Modeling: Don’t Send Retention Offers to Those Who Aren’t Leaving
Business Initiative Stop sending unnecessary retention offers
Approach
Imagine your customer base is a bucket of water, water flows into the top, representing newly acquired customers
Water also leaks out the bottom, representing customer churn
The goal of churn modeling is to slow the leak, and grow the customer base faster
But we also need to avoid making retention offers to customers that are not likely to leave
A customer who gets this offer (a discount) but wouldn’t have left, results in unnecessary costs
Benefits The predictive model will rank each customer on their likelihood to churn
This enables targeted, effective retention campaigns that are cost effective and reduces or eliminates retention offers to loyal customers
Uplift Churn Modeling Don’t Trigger Those Who Aren’t Leaving
Business Initiative Don’t disturb customers and trigger them to leave
Approach
We expand churn modeling to address customers we want to avoid disturbing So here, we predict whether someone will churn if they receive a retention offer We categorize customers into 4 segments
• Sure things – won’t churn whether they get offers or not • Lost causes – will churn whether they get offers or not • Persuadables – won’t churn when they receive an offer
– This group is worthy of the cost of the offer (traditional churn modeling) • Sleeping dogs – will churn if they get an offer
– This group should be treated passively – The cost of contacting is saved, plus they are retained
Benefits
Offers are focused on the Persuadables as they won’t churn when contacted Eliminate Sleeping Dogs from the contact list, so campaign costs are reduced, and retention
is increased
L’IGNOTO...
Multivariate Data Discovery for the Business User/Analyst
Multivariate Data Discovery for the Business User/Analyst
Multivariate Data Discovery for the Business User/Analyst
Multivariate Data Discovery for the Business User/Analyst
E IL CONTROLLO...
Il controllo....
CONCLUDENDO
Information Builders Value Thesis V
alu
e t
o IT
Economies of Scale Strategic Business Transformation
Information Relevance & Trust Intelligence for Everyone
Increase leads to sales conversion rates with more accurate
data on lead routing resulting in increased sales productivity
Reduce wasted marketing spend by improving the impact of
bad data due to margin of error in customer information by
12% - resulting in recovery of lost revenue and improvement
in damaged brand reputation
Maximize ROI on integrating accurate customer information to
drive customer insight – generally $1 to verify a record as it is
entered, about $10 dollars to fix it later, and $100 if nothing is
done
Increase revenue up to 10% by monetizing customer
segmentation information to partners
Maximize customer lifetime value with data driven
marketing to understand and predict customer behavior
Increase customer service rates and impact customer
sentiment in realtime with social insight and other digital
and traditional insights
Increase Productivity
20% over x years
Increase revenue and Higher Margins
X€ over three years
Lower Total Cost of Ownership Business Process Optimization
Fully Integrated Data Experience Business Agility & Adaptability
Consolidate information from all channels (online, traditional,
digital, external etc) to increase return on advertising channels
by x%
Decrease time to market and lower brand management cost
by x% with consistent brand integration and management
Integrate all multi-channel marketing information with systems
of record for customer data to increase personalized on-site
experiences by x%
Increase customer acquisition and customer profitability
by 15% through better targeted marketing campaigns and
customer profiling
Increase up-sell and cross-sell opportunities by predicting
customer behavior to minimize risk of loosing marketshare
Improve Campaign effectiveness against sales results to
increase response rates and better return on investment
on campaigns
Reduce Cost
X€ over three years
Increase ROI and Reduce Risk
X€ over three years
Value to the Business
Il modello applicato...
Economies of scale Strategic business transformations
Information relevance & trust Intelligence for everyone
Defined growth strategy on a single unified platform: •Stream 1: Market Basket Analysis •Stream 2: Stock optimization •Stream 3: Price optimization •Stream 4: Advanced analytics for customer/products segmentation
Increase marketing campaign returns by 2% to 5% (Fidelity Card & Customer Loyalty) Stock optimizations: reduce reorder over fulfilment of stock and use marketing campaigns as optimization tool Price optimization: estimated 5% to 10% increase of margins due Net-Net price model
TBD from 3M to 5M/year
Lower TCO Business Process Optimization
Fully integrated data experience Business Agility & adaptability
Handle on-time marketing information based on minimum 25 months tickets Data coming from different sources (like Nielsen) could be integrated in one single analytic platform Unique capability to integrate different technologies
Single view of customer acquisition across channels (Market Baskets Analysis) Real time information coming from loyalty card could be used for JIT Campaigns Reduce overstock of perishable goods Well defined Data Scientist to Category manager workflow gives flexibility to buy/sell process
TBD from 300k to 500k/year
Reference Stories V
alu
e t
o I
T
Economies of Scale Strategic Business Transformation
Information Relevance & Trust Intelligence for Everyone
Informa – Significantly reduced opt-out rates due to
improvement in address accuracy from 30% to close to 100%
accuracy which had a direct impact in revenue and profit.
Diodes - Increase market share by improving competitive
intelligence across products against competitors by leveraging
external research data
FullCircle – provide customers the ability to track
marketing campaigns across multiple channels and
allocation of marketing budgets based on contact
center and fulfillment activity to control cost
Coviden – increase revenue by up 8%, and lower
cost through improved integrated campaign and
sales tracking
SFG – insight into campaign effectiveness and
customer lifetime value to grow customer loyalty
Increase Productivity Increase revenue and Higher Margins
Lower Total Cost of Ownership Business Process Optimization
Fully Integrated Data Experience Business Agility & Adaptability
Time Inc – reduction in time in analyzing and understanding
advertising target audience and their interaction across brands.
Schawk – optimize brand management consistency across
different products and promotion campaigns with single point of
integrated brand insight
Netbiscuits – real-time marketing analytics of managed mobile
websites with reduced cost around data integration
Ceca – analyze customer behavior for better up-
selling
Transamerica – track sales outcomes as a result of
marketing programs
Food for the Poor - The donor relations department
depends on WebFOCUS to maximize the efficiency
of its fundraising activities and campaign
effectiveness with faster turnaround time in their key
business process (donor recipts info available in
real-time vs several days)
Reduce Cost
Increase ROI and Reduce Risk
Perché Information Builders
Integrazione delle informazioni
Mash-up applicativo
Una piattaforma analitica solida
Event driven, real-time e predictive
Scalabilitá e sicurezza
Per maggiori informazioni:
Direzione Aziendale
Franco Breda
Cel. 348 8588000
Direzione Commerciale
Andrea Rizzardini
Cel. 348 3953419
Marketing
Gaia Scapini
www.pragmams.it