FAQs: Brand Lift Live

Brand Lift Live FAQs

What’s the impression minimum we need to see in the underlying ad set?

So far, the minimum we have seen is around 2 million impressions, which we saw with Autotrader. We need more campaigns to run for a more robust benchmark.

How soon can we onboard clients to test a brand lift study?

Brand Lift Live is currently available in the following countries/languages.                

Languages:

• Arabic

• Cantonese

• Chinese (Simplified)

• Chinese (Traditional)

• Dutch

• English

• Filipino

• French

• German

• Gujarati

• Hindi

• Indonesian

• Italian

• Japanese

• Korean

• Punjabi

• Spanish

• Swedish

• Tagalog

Locations

• Argentina

• Australia

• Austria

• UK

• US

• Belize

• Belgium

• Bolivia

• Canada

• Chile

• Colombia

• Costa Rica

• Ecuador

• El Salvador

• Falkland Islands

• France

• French Guiana

• Germany

• Guatemala

• Guyana

• Honduras

• Hong Kong

• Ireland

• Italy

• Indonesia

• Japan

• Mexico

• Netherlands

• New Zealand

• Nicaragua

• Panama

• Paraguay

• Peru

• Philippines

• Saudi Arabia

• Singapore

• South Africa

• South Korea

• Spain

• Suriname

• Sweden

• Switzerland

• Taiwan

• UAE

• UK

• Uruguay

• USA

• Venezuela

What is the minimum spend needed to run a Brand Lift Survey?

Ad Set minimums per currency can be found here

What fees apply to the survey-specific spend?

The linked ad set fees also apply to the survey spend.

What tools/avenues do you use to assess ad recollection (surveys or anything else)?

Brand Lift Live (surveys)

Brand Lift Live allows you to optimize for live results throughout your campaign directly in the Quantcast Platform, driving efficient reach towards those considering your brand and away from those who will never consider it.

Can we still accept 3rd party verification/blocking tags?

We can still accept these tags.

What level of the hierarchy can the study be linked to?

Surveys can be linked to individual ad sets and across multiple ad sets at the campaign level.

The benefit of running multiple ad set-level studies versus a campaign-level study is that you can break out all variables, such as demographics, frequency, creative, and device type, by ad set.

The benefit to running at the campaign level is you can combine ad sets to achieve the minimums, but analysis is broken out at a total level.

We are working on an ad set level report for campaign level.

Which audience targeting strategies are supported?

All audience targeting strategies are supported.

If you have multiple targets and a big enough budget, we encourage you to run studies at the ad set level, not the campaign level, because more granular data can be shared across audiences; that is a crucial differentiator for our product. For example, we have had a client who compared their own CRM audience with our LAL model audiences from their website. We performed better, and mid-campaign, they shifted all budgets to our audiences. Our LAL audience performed better both on BLL and their other KPIs.

What creative formats can we use?

Video is recommended, but brand lift can accommodate standard display, rich media, native, and video.

Can we target different frequencies?

We can optimize to/target different frequencies.

Which geo-targeting strategies are supported?

Country, State, and Zip Code are supported.

What can be adjusted post-launch?

• Survey budget

• End date

• Pause the survey

• Optimizations that can be made

• Demographic target shift

• Device shifts

• Frequency, changes/caps/targets

• Focus on less creatives or add new/remove creative

What makes Quantcast Brand Lift Studies different from anything on the market?

Pricing: Our brand lift entry point of ~$42,000 is significantly lower than other alternatives on the market.

Optimizations and real-time insights: You can optimize to directly impact business results. Campaign results can be seen in real time mid-campaign instead of only post-campaign, like other study offerings. This makes the insights actionable and allows clients to maximize brand lift. Using Quantcast data, clients can uncover real-time audience insights of survey respondents to pinpoint creative messaging and audience targeting opportunities surgically.

Time savings: Clients can accelerate their workstream by running brand lift surveys easily and quickly directly in the platform instead of needing to loop in a third-party study partner. The time spent emailing the brand survey partner and exchanging information back and forth to set up, run, and report on the survey can be better spent focusing on growth, innovation, and identifying opportunities for optimizations to maximize outcomes.

How are respondents compensated?

Respondents are not compensated.

How are your respondents chosen? (Representation, Census, etc.)

We use a Live Recruitment approach for Brand Lift Live, which has less chance of bias, as respondents are not incentivized to answer.

How does our Brand Lift Survey work?

We use a control group that did not see your brand’s ad and an exposed group that did see the ad. We then serve both groups a one question survey.

Since the only difference between the groups is that one has seen the ad and one hasn’t, we can measure the lift between the responses from each group.

What’s the impression minimum we need to see in the underlying ad set?

There is no impression minimum. Only spend minimums, which you can find in this help center article.

What is the minimum spend needed to run a Brand Lift Survey?

Ad Set minimums differentiate per currency and country. See ad set minimus in this help center article.

Where can I find the latest information about Brand Lift Live?

All Brand Lift Live can be found in the help center article.

What reporting is available in the platform to start?

In the Report Builder, the following metrics are available for Brand Lift Live:

• Survey Spend

• Survey Media Fees

• Survey Non-Media Fees

• Survey External Fees

What is average response rate?

0.1

What’s our average impression-to-response ratio?

Response per impression (ctr) ranges around 0.04% to 0.1%. A related and perhaps more important metrics is cost per response.

We get a $0.30 - $3.00 cost per response. (Note this is when we serve survey with display impressions, using video impressions, preliminary results show lower cost per response).

How are we reaching statistical significance compared to Nielsen? Nielsen considers it to be 30 responses.

Statistical significance is not only dependent on the number of responses. We plan to show a continuous dial indicating statistical significance based on the p-value.  

We will indicate the statistical significance/confidence level, but the number of responses is related to stability, which we will also indicate in the platform.

We start showing the results right away, but we will have a clear indication of whether the responses are stable (30+ responses) and significant (95% significance).

Which objectives are supported?

We currently support video views and Reach/Frequency.