Case Studies

Goal

A leading auto manufacturer set a goal to increase sales for a specific line of vehicles. They wanted to reach TV and Digital consumers most likely to buy the vehicles.

Target

Households most likely to purchase the vehicle, including Likelihood to be in Market for a New Vehicle, Likelihood to be in Market for a New Pickup Truck.

Solution

Addressable TV: Different creatives were shown to different households, according to target segments chosen by client.
IP Targeting: Pre-roll videos and display ads were delivered to the same TV household segments.

Results

Incremental Sales Lift

Exposed buy rate

.268%

Unexposed buy rate

.116%

131%

HHs exposed to both TV & Digital delivered the highest conversion rate
Digital increased target HH reach by 10 percentage points
Incremental Revenue = $4M
ROI = $10.46/dollar spent

Targeted Households

951,206
TV Impressions

15.5M
Digital Impressions

3.6M

Sources

NY DMA. Targeting data source: IHS Markit. Conversion analysis based on set-top box and Digital ad exposure matched to Experian sales data. Incremental Lift = (Exposed buy rate – Unexposed buy rate)/Unexposed buy rate.

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Goal

A national retailer was looking to utilize TV to drive overall sales(phone and online) of their products in the NY market, with a focus on a specific holiday

Target

1st party data – current customers for the holiday; have not bought in the past year for the holiday; have not bought in the past three years for the holiday; lookalike buyers

Solution

Addressable TV: Commercials were shown to households according to target segments chosen by client.

Results

Incremental Sales Lift

Exposed buy rate

2.993%

Unexposed buy rate

2.627%

14%

14% Incremental Lift in Sales
13,323 Incremental Sales

Targeted Households

485,634
Total Impressions

2.3M

Sources

NY DMA. Conversion analysis based on set-top box ad exposure matched to first party sales data. Incremental Lift = (Exposed visit rate – Unexposed visit rate)/Unexposed visit rate).

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Goal

Drive patient conversion for a prescription drug

Target

Audience segments: Symptomatic, OTC Treaters, Diagnosed with the specific condition, and Competitive Rx

Solution

Addressable TV: Two different creatives were shown to target households, according to audience segments chosen by client.

Results

Lift in Cumulative Conversion Rate (no prior use of product)

Exposed & converted

.15%

Unexposed & converted

.09%

69%

Total incremental revenue: $226K
Drove conversion of 275 patients
Exposed patients with no prior use of the drug demonstrated a 69% lift vs. the unexposed group

Targeted Households

194,000
Total Impressions

6.3M

Sources

NY DMA. Audience target provided by Medicx. Analysis and sales data provided by IQVIA. Targeting and measurement based on set-top box data from Altice, with ad exposure matched to prescription sales.

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Goal

Drive credit card account registrations

Target

Audience segments: Current Qualified Customers, HH Users of a Competitor card, HH Users of Specialty Cards branded by upscale retailers, Owners of 3-4 Active cards, Complacent users of credit cards

Solution

Addressable TV: Two different creatives were shown to target households, according to audience segments chosen by the client

Results

Incremental Lift

Exposed & converted

.101%

Unexposed & converted

.057%

76%

Current Qualified Customers experienced a 238% lift on Approved Accounts
Users of a Competitor card had a 95% lift on Approved Accounts
Users of a Specialty Upscale Retailer card achieved a 104% lift in Approved Accounts
Drove conversion of 1,500 accounts

Targeted Households

1.7M
Total Impressions

163M

Sources

NY DMA. Audience targets provided by LiveRamp, Experian, and Epsilon. Accounts data provided by client. Analysis provided by Acxiom. Targeting and measurement based on Altice HH with ad exposure matched to client data.

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Goal

An online sports betting company set a goal to increase awareness of their offering and drive consumers to their website. Their objective was to reach consumers most likely to participate in online gambling.

Target

Households that included Men age 21+ who were interested in gambling, including “Game Betting” and “Social Betting”

Solution

Addressable TV: Commercials were shown to households, according to target segments chosen by the client.

Results

Incremental Site Visit Lift

Exposed visit rate

.4039%

Unexposed visit rate

.3397%

19%

19% Incremental Lift in Web Visits
212 Incremental Visits to the Site

Targeted Households

394,075
Total Impressions

6.2M

Sources

Source: NY DMA. Conversion analysis based on set-top box ad exposure matched to website visitation data using Experian pixel. Incremental Lift = (Exposed visit rate – Unexposed visit rate)/Unexposed visit rate).

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Goal

Leverage set-top-box data to execute a tune-in campaign in 3Q 2020, driving viewing to two programs airing on a broadcast network.

Solution

Linear TV: Tune-in ads were shown to all households in the NYI footprint

Results

% Households Tuned to the Program

Program 1

Exposed households

5.57%

Unexposed households

2.15%

159%

Program 2

Exposed households

3.95%

Unexposed households

1.09%

262%

Households exposed to the ad campaign tuned in to the program at a greater rate (159-262% higher) versus unexposed households

Sources

Source: NY DMA. Based on Altice set-top box data. Conversion analysis based on ad exposure and tune-in (Live+SD) within Altice set-top box households.

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Goal

A casino/resort was looking to utilize TV to drive overall visits to their NY-based location.

Target

Four Segments based on: Net worth, Gamers, Looking for fun, Seeking out entertainment

Solution

Addressable TV: Commercials were shown to households, according to target segments chosen by the client.

Results

Incremental Lift in Visitors

Exposed visitor rate

.049%

Unexposed visitor rate

.041%

19%

19% Incremental Lift in Visitors
32% Incremental Lift in Visits
11% Incremental Lift in Visit Duration

Targeted Households

605,651
Total Impressions

2.1M

Sources

NY DMA. Conversion analysis based on set-top box ad exposure matched to visitation data from Ninth Decimal. Incremental Lift = (Exposed visit rate – Unexposed visit rate)/Unexposed visit rate).

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We’ve worked with some of the world’s biggest brands, and we’re proud of what we’ve accomplished. Especially the results.