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Data Methodology. Itzik Mitzmacher | Program Manager January 2011. Research Module. Agenda. The Data Funnel Frequently Asked Questions Q&A. The Data Funnel. Animation if needed Is “Fade - very fast”. Measurement Types Ad-Centric User-Centric. Thresholds

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data methodology
Data Methodology

Itzik Mitzmacher | Program ManagerJanuary 2011

Research Module

  • The Data Funnel
  • Frequently Asked Questions
  • Q&A
the data funnel
The Data Funnel

Animation if needed

Is “Fade - very fast”

  • Measurement Types
  • Ad-Centric
  • User-Centric
  • Thresholds
  • Ensure statistical soundness
  • Protect confidential info

Filter Criteria

data ownership
Data Ownership
  • We are not sharing data. This is simply a research for the purpose of creating benchmarks, which is something we have been doing for years (e.g. Analytics benchmarks).
  • It is a legal practice. In its standard agreement with agencies, MediaMind keeps the right to use the data it tracks and collects for research purpose on an aggregated level (i.e. benchmarks).

What if my client is concerned about “free riders” (small clients enjoying a large amount of data contributed by one single advertiser)?

  • MediaMind collects data from more than 7000 advertisers. The “free rider” issue is only theoretical. That said, we make sure to avoid situations where one advertiser contributes all the data. Refer to the next item.

What if my client is still not convinced?

  • It’s possible that sometimes clients will react in an irrational manner. If that’s the case make sure to escalate the issue.

Hey, how do you make sure that the data presented in Smart Planning will not expose any confidential info to competing agencies or advertisers?

data confidentiality
Data Confidentiality
  • Cost data - no cost data is aggregated and shared across agencies. Wherever there is a cost metric (Avg. CPM, CPC, etc.), it is always based on the agency’s data only.
  • Performance and engagement data – the user can see only a benchmark. We don’t tell the user where the data came from and the user has no way to back out confidential data.
  • In addition, we apply filters on the backend to ensure that we’re not creating the benchmarks based on a limited amount of data that will allow the user to back out confidential data about competitors. So, for example, if the user filters to Market = UK | Vertical = CPG, we will not provide info on the screen if there are not enough advertisers/campaigns/data to base the benchmarks on.
  • If the user chooses to drill down to a specific agency or advertiser level then he will be able to select only his own agency or advertisers for which the user has a permission to see data in MediaMind.
data accuracy
Data Accuracy
  • Our thresholds should protect us from these cases. In each search the user conducts, we apply thresholds that dictate that no result will be retrieved if there’s not enough data to make the benchmark statistically significant.
  • Here are few examples to the thresholds that we apply:
    • Each figure represents a minimum of 10,000 impressions spread across different ads, campaigns and advertisers.
    • Each ad is served a minimum of 1,000 impressions.
    • Data was filtered for outliers, which represent a divergence from regular campaign performance according the MediaMind data.