© 2010 MediaMind Technologies Inc. | All rights reserved Limor Nadav-Greenberg| Solution Specialist January 2011 Introduction to SVP
Jan 13, 2016
© 2010 MediaMind Technologies Inc. | All rights reserved
Limor Nadav-Greenberg| Solution Specialist
January 2011
Introduction to SVP
© 2010 MediaMind Technologies Inc. | All rights reserved
▸ 4 points to remember
▸ Targeting
▸ Re-Targeting
▸ Optimization
▸ Beta and pricing
▸ Questions
Today’s discussion
© 2010 MediaMind Technologies Inc. | All rights reserved
4 points to remember after this session
▸ SVP is a stronger version of SV and can be used in its place
▸ It enables clients to do targeting, re-targeting and optimization
▸ We can support all client types including retail and direct response
▸ It's really cool.
like it.
No other ad server has anything
Really.
© 2010 MediaMind Technologies Inc. | All rights reserved
Smart Versioning vs. Smart Versioning Pro
▸ Smart Versioning Pro is part of the Smart Versioning suite
▸ We will refer to both products as “Smart Versioning”
▸ Once SVP is released, we will be gradually transitioning most clients to SVP and the old SV will only be used in specific cases where it is needed (e.g. localization, low-spend markets, creative shops that need production tool).
© 2010 MediaMind Technologies Inc. | All rights reserved
Smart Versioning
▸ To site visits ▸ To ad engagement▸ To ad exposure
Retargeting
▸ By click/conversion▸ By engagement▸ By geo-location▸ By demographics▸ By publisher keyword
Optimization
▸ To geo-location▸ To publisher keyword▸ To demographics
Targeting
Creative Production Tools
© 2010 MediaMind Technologies Inc. | All rights reserved
Targeting
Re-targeting
Optimization
© 2010 MediaMind Technologies Inc. | All rights reserved
1. Mass Targeting
The client would say: “We have regional campaigns”, “we use XML or Excel to manage offers”
The client is running regional campaigns
Every region gets different offer Those offers change over time A small amount of products
but large amount of versions because each version targets a different audience and thus includes different prices and different mini sites, etc'.
The client challenge: operational complexity
Portland, OR
Albany, NY
Local APR rates
© 2010 MediaMind Technologies Inc. | All rights reserved
Managing Local Offers - Dealership Mass Versioning Ad
San Diego, CA
SUV
Cash Back
O % Interest
Sedan
Cash Back
0% Interest
Convertible
Cash Back
0% Interest
Greensboro, SCTruck
Sedan
Convertible
Denver, CO
SUV
Truck
Sedan
▸ Manage 100s - 1000s of ads for dynamic creative
▸ Assist in set-up strategy
▸ Monitor campaign for potential errors (before they
happen)
© 2010 MediaMind Technologies Inc. | All rights reserved
Personalize Local Messages
▸ Local store information and contacts
▸ Local weather
▸ Review on local store
▸ Local store promotion
▸ Local coupon
© 2010 MediaMind Technologies Inc. | All rights reserved
Targeting
Re-targeting
Optimization
© 2010 MediaMind Technologies Inc. | All rights reserved
2. Advanced re-targeting
The client would say: “We want to retarget users that visited the site”,
The client have a retail web site with products on offer
The client would like to re-market to consumers that visited the site but didn’t buy
The client challenge: How do get site visitors to purchase my items?
© 2010 MediaMind Technologies Inc. | All rights reserved
Recent Site Visits
1.
2.
3. 4.
1. Consumer visits web property2. Audience is tagged 3. Audience is found again, via exchange or
premium4. Message is retargeted incorporating the
previously viewed products
Consumer browses through the various products…
Product “A”Product “B”Product “C”Product “D”
A. B.
C. D.
© 2010 MediaMind Technologies Inc. | All rights reserved
Targeting
Re-targeting
Optimization
© 2010 MediaMind Technologies Inc. | All rights reserved
Creative optimization
The client would say: “We want to optimize product/offer to customer”, “Can you serve best performing version?”, “we use Tumri today”
The client Have a large catalog of products
Needs to push out inventory to the market
The client challenge: How can you be most efficient in matching the right product to the right consumer?
Group A Group B Group C
© 2010 MediaMind Technologies Inc. | All rights reserved
Geo-Optimization Multiple Campaigns
Optimize to best performing products, offers or ad versions PER geo-location
© 2010 MediaMind Technologies Inc. | All rights reserved
Optimization by Demo (key-value passed by 3rd party or publisher)
Electronics Sofas Curtains Bedding0%
10%
20%
30%
40%
50%
60%
70%
80% 75%
53%
20%
32%
25%
47%
80%
68%
Male
FemaleCPA %
Male 25-35
Female 25-35
© 2010 MediaMind Technologies Inc. | All rights reserved
Automatic Success Driver
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 280.00%
5.00%
10.00%
15.00%
20.00%
25.00%
Average Lift in Conversion Rates (6 months)
WeeksAuto-Optimized Campaign Manually Targeted Campaign
© 2010 MediaMind Technologies Inc. | All rights reserved
So what’s SVP again?
Excel, XML
Re-targeting
Targeting
Retail Data Feeds
Optimization
Super flexible input…
© 2010 MediaMind Technologies Inc. | All rights reserved
Beta and Pricing
Beta: AM Champion training in Mid Jan Sales training in Jan SVP available gradually throughout late Jan or early
Feb There will be a pipeline with priority to existing clients
Pricing: Premium CPM + setup fees Setup fees waived for large campaigns only
© 2010 MediaMind Technologies Inc. | All rights reserved
Thank you!