Eltoro Online IP Targeting :: Multiply Digital Advertising Conversions

Your Exact Online Target Lives Right Here

Digital Advertising Market

• $116B Market CY2013 and growing 19% Y/Y

• Market is undergoing great change

• Digital is growing, everything else is down

Problem• Most internet ads

don’t work very well.

• Google, Yahoo and Facebook reach is limited to only their audiences

• Cookies are losing efficacy, becoming irrelevant

Problem (continued)• Advertisers simply

don’t know who is seeing their message.

• Ad fraud is increasing rapidly.

• Poor tractability and accountability.

Non-Human Traffic is Huge

Our Team• Six successful exits in the last 15 years

• 3 Companies in the Inc! 500

• Collectively authored five patents (4 for previous companies, 1 at El Toro)

Stacy Griggs – CEO Dave Vrona – COO David Stadler – VP Ad Operations

Other Forms of Targeting• Retargeting – Based on a

past site visit.

• Behavioral Targeting - Based on something web users have done online.

• Audience Segmentation – Based on demography of the sites people visit.

• Geo-Targeting – Based on zip code demography.

• PPC – Based on search terms.

Solution• Patented technology to

target ads at a household level based on IP address

• More accurate targeting = less waste and higher ROI

• Have access to 30-50 billion ad impressions per day from > 1MM sites

• Enhanced privacy for web users over contemporary solutions

How do we stack up?• 50-100X more

targeted than television

• 6-60X more effective then other online ads

• CTR is 3.2X Industry Average

• Highly accurate (and unique) ROI analysis using match-back

Sites we place ads on

Sample Ad’s

Banner Ad

Sample Ad’s

Display Ad

Sample Reports – Match Back

campaign mail qty banner ad mail qty

resp qty

banner ad resp qty(exact matches)

banner ad resp qty(soft matches)

Total banner ad resp qty(exact

+soft matches)

non-banner ad mail

qty

non-banner ad resp

qty

banner ad resp

% (exact + soft matches)

non-banner resp %

overall resp%

Total Lift In

Response Rate (based on hard+soft)

# of Impressions

Served to each Record

1 130,390 35,954 57 18 1 19 94,436 39 0.0528% 0.0413% 0.0437% 27.96% 10

2 81,787 23,871 28 7 5 12 57,916 21 0.0503% 0.0363% 0.0342% 38.64% 10

3 73,386 21,776 59 18 4 22 51,610 41 0.1010% 0.0794% 0.0804% 27.17% 5total 285,563 81,601 144 43 10 53 203,962 101 0.0650% 0.0495% 0.0504% 31.16%

Control Group Targets Total7206 3083 10289

Percent 70.04% 29.96% 100.00%Sales 6 4 10Match Rate 0.08326% 0.12974% 0.0972%Improvement 55.82%

Match-Back w/ Other Ad Campaigns

Match-Back w/ Direct Mail

Example – Statewide Political Campaign

Market Area Households4,700,000

Kentucky Households1,700,000

55% of targets don’t live in KY

Another 90+% of audience is lost based on

registration and turnout

Example – Tradeshow Targeting - NADA• Targeted attendees in

their hotel rooms and educational sessions

• Targeted 30 hotels with 30,000 impressions over 3 days

• Digital increased sales at the booth 10%, providing a 20X ROI

Sample Campaigns

Contact

[email protected]

@grizzberr

www.linkedin.com/in/matthewberrier

www.eltoro.com

(502) 994-6343