Interests rather than individuals. There is a chicken and egg/which came first issue in targeting customers for all online marketers
, which is to say, these days, all marketers.
Retailers, Facebook and everyone else have struggled to figure out the formula for using their customers/supporters/
members/friends to enhance the possibility of converting attention into revenue and profit. The personal connection has not been quite as dynamic a predictor of purchasing behavior as many had hoped. Had they thought about it, you might love your Aunt Bea or your former college roommate, but would you really rely on either one for fashion or investment advice? Let alone buying a car - or even a phone?
So, the love has too often been commercially unrequited. Part of the problem may have been exactly the focus on the personal rather than on interest, as expressed via content. What Twitter has decided, after analyzing its data, is that building outward from the subject to the audience rather than building inward from the people to the product may be more productive. There is no guarantee that this will be more successful than the other approach, but the value may ultimately lie in creating a contrasting data set against which the personal can be statistically coded. We know that the more information we have, the more accurate our predictions will be (making allowances for accuracy and interpretation) so having another perspective from which to triangulate will be a genuine advantage to advertisers, merchants and to the customers who must sift through their offers. JL
John Koetsier reports in Venture Beat:
That’s the theory behind Twitter’s new ad tool,
keyword targeting in timelines,
the new targeting mechanism that will allow advertisers
to tailor which audience they choose to market to by the content of the
tweets those people write.
Tweets that you read and accounts that you follow
are fairly likely to be on subjects that you care about. Tweets that you write
are almost guaranteed to be about something that matters to
you.
Twitter says this is important for advertisers, since it lets marketers reach
the right audience at the right time, in the right context.
And they’re right, to a degree.
Twitter’s optimistic scenario is a user tweeting about a great song from
their favorite band. As it happens in contrived examples, this band just happens
to be playing a nearby venue that very night, which means that promoters can run
geotargeted Twitter ad campaigns against local users who have tweeted that
band’s name, and thereby inform this particular user that her favorite group is
in town.
There’s no doubt that there’s huge value in this new targeting option. And,
as AllThingsD
notes, Twitter has included negative sentiment filtering,
which is critical, because no advertiser wants to target people who are tweeting
about Wu-Tang Clan, only to find that they were tweeting that Wu-Tang Clan
sucks, or something similar.
But it’s also challenging, because many tweets are difficult to register
commercial intent for.
If I tweet about my wife’s illness, are you going to target me with a random
medicine? Or if you tweet about a great dinner you’re just about to eat, will
you really be receptive to ads about a Greek restaurant just down the road?
Twitter says it’s helping advertisers target “signals of intent,” and that might
sound like Google-ish search keyword targeting, but it’s not clear that the link
is quite as obvious as an intentional, directed search.
But it is yet another tool in the Twitter advertiser toolbox, and with all
the others, will add up to better results. Twitter says that it has tested the
feature with Walgreens and Microsoft, among others, and “users were
significantly more likely to engage with Promoted Tweets using keyword targeting
in timeline than other forms of targeting in the timeline.”
Which sounds like Twitter ad products are synergistic: 1 + 1 = 3, not 2. And
in fact, GoPro achieve engagement rates as high as 11 percent, Twitter says,
using the new feature. That’s startlingly high.
And, doubtless, music to advertisers ears.
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