You have watched the same ad play three times in a single break. Everyone has. Every repeat is an advertiser paying to annoy someone who already got the message.
Here is the part almost nobody catches. Most DSPs report frequency as a single average across per week or a month. On the dashboard it looks healthy, say 8 times a month, so a big advertiser sees nothing improper and moves on. The average hides the timing. The household showing 2.4 times per week could have taken two of those back-to-back in a single pod while 1000’s barely saw the ad in any respect. The more you spend, the smoother that aggregate looks, which is why the biggest advertisers are the ones almost definitely to miss it.
We catch it because we will not be reading another person’s summary. GammaBurst, our own analytics and bidding platform, reads delivery at the household level, not as a rolled-up average. It shows how often a household was served, how close the impressions landed, and whether or not they stacked inside one break. The clustering that disappears in a median is exactly what surfaces in the real delivery.
A national direct-to-consumer retailer showed us how that plays out. One campaign reached two very different buyers, parents searching for birthdays and holidays, and B2B buyers stocking events and schools, each running on the same frequency curve. The data made the gap obvious. Parents converted most efficiently at about one streaming impression per week, while B2B buyers needed six to eight, so no single cap could serve each without wasting spend somewhere.
We reset three things. We capped frequency individually for every audience, split CTV and display by role as a substitute of running them in parallel, and reconciled reporting every week against what actually rang up at the register.
Seeing the problem is only half of it. A cap alone still lets impressions bunch, because caps are reactive. By the time three ads have run in a single break, it is too late for many DSPs to step in. GammaBurst governs delivery at the bid, spacing impressions across breaks and days as a substitute of letting them pile into one night. The cap sets the ceiling. The bidder controls the rhythm.
Within 30 days, streaming RoAS rose 48%, measured against the retailer’s own sales data fairly than the platform’s self-report, from roughly $350K working harder over 16 weeks, not from spending more.
That is what a managed campaign looks like. The right frequency is never fixed. It shifts by audience, by region, and over the life of a campaign, so we keep adjusting in-flight as a substitute of setting it once and walking away. Come see how we discover the money others leave on the table, at DMWF North America, September 9 and 10 at the Javits Center in New York.
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