Download - Shortened standard demo deck
This437 W. Jefferson
Means this216.135.81.25
At El Toro:
Our “Competition” all use cookies
Bots generate their own cookies & build profiles to
appear more human like
Bots emulating humans have high value cookies,
get targeted by advertisers, and amplify
bot revenue
Re-cookie without trying. Emulate real
human behavior
Re-cookied bots are added to advertisers targeting segments
Other “IP Targeting”
companies ALL use cookies
4 Patents Pending
IP Algorithm RTB Real Time Bidding System
Reverse Append
Polygon Mapping Tool
House to House TargetingB2C by address
We approximate 50% match rate for residential targeting; 30% for B2B by address targeting; 500 minimum targets in a B2C campaign
Name Street Address City ZipJohn Singer 5006 Parrish Branch Road Midlothian 23112C. Curtis & Ann C. Hunt 4012 Timber Ridge Road Midlothian 23112Sleep Inn and Suites 6451 Bayside Lane Midlothian 23112Jessie Smith 11320 Dumaine Drive Midlothian 23112Brian Smith 3018 Gregwood Road Midlothian 23112Christopher & Erika Smith 3031 Speeks Drive Midlothian 23112Stephanie Smith 7721 Gallant Fox Court Midlothian 23112Allan Smith 13703 Harbour Bluff Court Midlothian 23112Scott Smith 2512 Tanglebrook Road Midlothian 23112Stacey Smith 5505 Highberry Woods Road Midlothian 23112Barry & Karen Smith 6002 Lansgate Road Midlothian 23112Claudia Snipes 3041 Gregwood Road Midlothian 23112Southside Auto Recycling 12910 Genito Road Midlothian 23112Minny South 4082 Trisha Trail Midlothian 23112James Spann 12900 Singer Road Midlothian 23112Shawn Spencer 7310 Buck Rub Lane Midlothian 23112Anthony Spotswood 14924 Mill Flume Court Midlothian 23112
Total List Size: 100,000
50,000Total Matched Targets
50%Matched Records
Behind The CurtainOur patent-pending process combines more than 30 public
data elements to hyper-accurately map an IP address to a home address.
+Geo
spatia
lDNS
Mappin
g
data
WWWNetw
ork
topolo
gy
Network
point
Conne
ction
speed
Publi
c
record s
IP ad
dress
Home
addre
s s
=Web
traffic
Better targeting
Match Back Analysis
Client provides sales data based on campaign ending or buying cycle (last name, address, and zip)
We cross reference targeted data set with converted purchases
Then provide a list by name & address who purchased
Provided lift in response rate against control group
*If the client is willing to provide sales figures in addition to the required information, El Toro can provide a physical ROI
Captive AudienceFor B2C or B2B
College Campuses95% Mapped
Affluent ShoppersTarget 100+ HHI with children
Key Venues
Hotels, Trade Shows, and
Conventions
I want to target the Super Bowl!
I want to target the CEO at Google!
0.64%Click Through Rate
Targeted state legislators and fidelity voters in the targeted legislators district
Targeted state capital and the legislative offices
75x per IP address frequency
336,000 impressions 30 day campaign
100%KCB won the election
800x the industry average CTR of 0.08
Campaign Highlights
“This was David vs. Goliath, with a group of local entrepreneurs challenging one of the largest companies in the world…having access to a tool like El Toro’s IP Targeting helped cost effectively level the playing field”
-KCB’s VP, Phillip Dearner,
In early 2015, The KCB was involved in the legislative fight for their lives against one of the largest brewers of beer in the world.
KY-HB 168 was supported by the KCB’s memberships and preserved the long-standing 3-tier distribution system, HB-168 was intended to prevent Anheuser Busch from opening a new distribution center in Western KY.
If the KCB lost, distribution of non Anheuser Busch beers would no longer be distributed, which would’ve been detrimental to craft brewers in KY.
Case Study: Political-Craft Brewers
Campaign Highlights
Case Study: Smooth FitnessOur client is a nationwide distributor of home gym equipment. The organization turned to targeted advertising after experiencing a decrease in their PPC and SEO conversions. With their PPC cost doubling per year, they needed to find alternatives that were more cost effective and produced better conversions.
El Toro implemented an advertising campaign after analyzing the last 2 years of the client's sales. Based on this data, we created a targeting profile focused on 33,048 households in their key markets of TX, CA, and FL. The Pure Conquest campaign run by El Toro produced 804,363 impressions and 2,951 clicks. The client identified 17 confirmed conversions, with an average value of $900.
804,363 impressions
2,951 clicks
17confirmed conversions
o Incomeo Geographyo Demographyo Pair direct mail pieceo Age of Homeo Seasonalityo Known problem areas
Home Services and Home Goods
Case Study:Home Improvement
50 More ConversionsThan control group
Target group of 48,000 addresses received physical mail piece and digital ads Control group of ~47,000 ONLY received physical mailer Target determined based on age of home, home ownership, and household income Over 2 million impressions served 40x per IP address frequency 316 total conversions- 133 from control group and 183 from target group
31% More likely to purchase
690k incremental additional revenue
Campaign Highlights for Target Group
A national brand that primarily works within home improvement industry came to us and wanted to test the efficacy of our platform. They consistently ran direct mail and when they learned how Digital Direct Mail complimented their direct mail campaign, they were excited to see how it would increase conversions and revenue. Here are their results-
Case Study: Higher Education
1/2the cost of email and direct mail campaigns
35% more likely to apply after viewing an ad
Campaign Highlights
14,000 students targeted
El Toro’s client, a mid-sized for-profit university located in the western United States was looking to increase the number of applications for undergraduate admission, while reducing cost per applicant.
The client integrated El Toro’s targeting platform as part of larger outreach campaign that included both direct mail and email.
This combined campaign targeted households of approximately 14,000 likely students who were modeled based on ACT / SAT score, location and high school graduation date. Students were delivered ads with appropriate scholarship offers based on their ACT / SAT scores.