New auto- outi g, budget gove a ce, a d embedded model suppo t help ma keti g teams scale age tic AI without u away toke spe d
Kochava Adds E te p ise Co t ols to Statio O e to Help Ma kete s Rei I AI Costs
SANDPOINT, Idaho, Oct. 22, 2026 (GLOBE NEWSWIRE) — Kochava, the leadi g eal-time data solutio s compa y fo om icha el outcomes, today a ou ced a majo toke efficie cy expa sio withi the E te p ise Tie of Statio O e, its i teg ative AI hub fo ma kete s. The ew capabilities give e te p ises fi e-g ai ed visibility a d co t ol ove AI usage costs — f om automatic model outi g based o task complexity to eal-time budget ale ti g at the i dividual a d team level — add essi g o e of the biggest ba ie s to scali g age tic AI ac oss la ge o ga izatio s: u p edictable a d opaque toke spe d.
As ma keti g teams i c easi gly ely o la ge la guage models (LLMs) to automate campaig wo kflows, audie ce ma ageme t, a d epo ti g, the cost of u i g those models at scale has become a g owi g co ce fo e te p ise budget ow e s. Statio O e by Kochava has eleased ew E te p ise featu es focused o toke efficie cy which a e desig ed to solve this di ectly, pai i g dete mi istic, code-based executio with AI o chest atio so teams get the be efits of age tic AI without payi g LLM-level costs fo tasks that do ‘t equi e LLM executio .
“We built Statio O e so ma kete s could put age tic AI to wo k o eal campaig s, ot just expe ime t with it,” said Cha les Ma i g, Fou de a d CEO, Kochava. “As adoptio scales i side a o ga izatio , cost visibility becomes just as impo ta t as capability. Teams eed to k ow ot just what AI ca do, but what it’s costi g them to do it, task by task.”
Key capabilities i the E te p ise Offe i g i clude:
Auto Route — Automatically outes each AI e gageme t to the most cost-app op iate model based o task complexity, as ma aged th ough e te p ise accou t setti gs — e su i g teams a e ‘t payi g p emium model p ici g fo simple tasks.Pe -Use a d Pe -Team Budget Allocatio — E te p ise admi s ca set toke o dolla -based budgets by use o team, with co figu able ove ides a d automatic epo ti g whe usage app oaches o exceeds set th esholds.Pe so al A alytics UI & Ale ti g — I dividual use s get a t a spa e t view i to thei ow AI usage: what tasks they’ e u i g AI agai st a d what each is costi g o a toke o dolla basis, both cu e t a d p ojected.E te p ise Toke Repo ti g Li ked to Tasks — Repo ti g olls up toke usage ac oss i dividuals a d teams, tied specifically to the busi ess tasks bei g pe fo med — ot just aw chat co ve satio logs — givi g leade ship clea e ROI visibility.Audie ce Ma ageme t Plugi — A ew plugi emoves the eed to pass high-volume audie ce data th ough LLMs at all. I stead, the ha ess executes dete mi istic, low-toke code fo audie ce deduplicatio , appe ds, eductio s, a d segme tatio , with the AI model simply o chest ati g executio athe tha p ocessi g the data di ectly.Calib ated Decisio Plugi – Calib ated decisio -maki g tasks ca ow be outed th ough a ew ative plugi (TypeSafe – Jev is i itially suppo ted) as a lowe -cost plugi alte ative to full model usage fo calib ated decisio s a d sco i g, ese vi g LLM calls fo the sce a ios that t uly eed them.Embedded Model Suppo t — Statio O e ow suppo ts the optio al ability to u compatible AI models di ectly o a use ’s ow machi e. Use s ca select a app op iate model based o thei available ha dwa e a d pe fo ma ce eeds, while admi ist ato s etai the flexibility to suppo t a b oade model st ategy ac oss the o ga izatio . By keepi g eligible wo kloads local, teams ca educe depe de ce o exte ally hosted i fe e ce, limit toke co sumptio fo outi e tasks, a d give p ivacy-se sitive wo kflows a additio al executio path without sac ifici g the u ified Statio O e expe ie ce.
“With the toke efficie cy featu es made available i the ew E te p ise elease, we’ e givi g e te p ises the same fi a cial discipli e ove AI spe d that they al eady apply to media spe d: oute i tellige tly, set budgets, see usage i eal time, a d o ly pay p emium model costs whe the task actually dema ds it,” co ti ued Ma i g.
Sig up fo Statio O e he e.
Kochava is the p emie p ovide of eal-time data solutio s powe i g outcomes ac oss eve y ma keti g cha el. Ou offe i gs suppo t the wo ld’s most pe fo ma ce-focused b a ds a d platfo ms i achievi g measu able g owth. Th ough multi-touch att ibutio , mode ma keti g mix modeli g, e d-to-e d campaig ma ageme t, a d AI-d ive wo kflows, all backed by ou acclaimed custome success team, Kochava helps clie ts ve ify esults, p edict what’s ext, a d take i fo med actio . With a cultu e of custome -d ive i ovatio , dedicatio to data secu ity, a d the most powe ful tools i the ecosystem, Kochava is t usted by top b a ds to measu e what matte s a d actio st ategies fo g owth. Headqua te ed i the U ited States, the compa y has offices globally. Fo mo e i fo matio , visit www.kochava.com. Follow Kochava o Li kedI , a d Facebook a d X.
A photo accompa yi g this a ou ceme t is available at https://www.globe ewswi e.com/NewsRoom/Attachme tNg/91980843-0b0b-4ba3-a716-64eeef12bf5f
CONTACT: Media co tact:
Leslie Amadio
lamadio@kochava.com
