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What is Hook Em Up Frenzy?
Two operators alone – Kalshi and Polymarket – topped the combined $1 billion mark in NFL trading activity over the first six days of Week 1, according to numerous measures this week. During the period, Kalshi recorded NFL volume of $983.4 million, according to DeFi Rate, earning the pole position by a large margin. Mahomes and the Kansas City Chiefs thrashed the Denver Broncos 31-10 on Monday Night Football, capping the largest week for prediction markets ever.
Even before the primetime matchup in Kansas City, it became abundantly clear that the industry would shatter previous marks for weekly activity. The AFC West showdown bolstered the already robust totals. Overall, volume for the week hit a record $15.9 billion, according to Bank of America, up 16% from a week earlier.
The pure-play prediction market-operators, Polymarket and Kalshi, emerged from Week 1 as the clear winners. On one hand, Kalshi’s market share lead narrowed over its competitors, falling to 82% for the week ended 13 September, down from 86% a week earlier.
What is Hook Em Up Frenzy?
Among the 100 most recommended profiles are accounts that, together, have accumulated more than 6 million followers and 114,000 posts. There are three main types of profiles recommended by Instagram: operators, content creators and media specialising in the betting market.
The research also identified content that associates betting with investments and the possibility of income.
In one of his Instagram stories, speaking directly to the camera, Pedro (a fictitious name for a “professional gambler”) shares a “unique opportunity”. He says that he is going to release a “super promotion for a premium group, which has higher odds”.
About Hook Em Up Frenzy
The first was direct marketing (emails, texts, push notifications). Citing randomised studies, the committee noted that limiting direct marketing resulted in reduced betting and fewer short-term harms.
Referencing an Australian study on direct marketing and its link to gambling harms, Dr Philip Newall, senior lecturer at the University of Bristol noted that “causality was established by getting a random subset of participants to opt-out of receiving direct marketing offers”.
It was found that “this group then self-reported significantly lower expenditure and harms [ … ] over the next two weeks”.
