Is it possible to connect my tailored audience with a campaign?

[saku_yoshir]

Hello

I’d like to set my tailored audience as a tagetable users list for my campaign using Twitter Realtime API.

An example account and audience and campaign are here.

the Account ID:18ce54j3o8d
the Audience ID:2eodu
the Campaign ID:9upmz

In this account “18ce54j3o8d”,I have already created my campaign “9upmz” and I’d like to connect my audience “2eodu” to this existing campaing.

Does anyone has good idea?

Also,I’d like to know how to start and end the campaign.

Thanks.

Below is the reason why I’d like to try this way,you don’t have to read it if not interested in.

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What I want to do is to target users who are updated daily using tailored audience.

I’ve been testing for quite a long time.

The test is like sending some idfas every morning to the same tailored audience to make it updated.

Actually I don’t want to “add” users to the audience,but I want to replace users of yesterday with users of today.

To do it,I adjusted effective_at and expires_at parameters for each idfa.

But we almost give up to target exact daily replaced users,because we got unexpected results constantly on the reports issued by SDK installed in our customer’s apps.

The result was like that so many reattributed conversion idfas seem not to be in the list of targetable users that we sent through Twitter API.

Almost 80% were out of our audience list.

I assumed that the idfas haven’t deleted even after the time of “expires_at” parameter.

Or some other idfas that are not related to our audiences have just joined in our targetable list maybe.

[JBabichJapan]

Please note that conversions from a campaign on Twitter can be from “earned impressions” which is the audience that sees a tweet when it’s retweeted for example. So for those cases, it could be showing up, as well as sometimes the data for conversion could be lagged behind to some degree if you’re talking about the data such as “mobile_conversion_installs”.

Generally the most efficient way to work with audience at large scale is to reduce the # of overall calls by:

1. Send only differential data (users to add or remove, not the entire audience all over again)
2. Let expires_at remove the user instead of manually spending 1 unit of rate limit to remove them’

If the users being sent are malformed or not encoded the way we expect, the match rate can show up as being much lower than expectation. For the audience you point out above, we only match around 1000 users, and then only some % of those will be counted as active, so the scale of single audience is perhaps too small to be used effectively since each line item will have a very small reach and # of impressions.