<!-- mobian-agent-page publisher="dailydev" canonical="https://daily.dev/posts/the-media-industry-is-becoming-a-prediction-economy-4scji5j3z" -->

---
title: The media industry is becoming a prediction economy
description: Databricks argues media and advertising are shifting from counting attention to predicting and proving outcomes. Only 3% of CMOs can tie half their marketing...
canonical: https://daily.dev/posts/the-media-industry-is-becoming-a-prediction-economy-4scji5j3z
twitter:card: summary_large_image
twitter:site: @dailydotdev
og:type: website
og:site_name: daily.dev
og:title: The media industry is becoming a prediction economy | daily.dev
og:description: Databricks argues media and advertising are shifting from counting attention to predicting and proving outcomes. Only 3% of CMOs can tie half their marketing...
og:url: https://daily.dev/posts/the-media-industry-is-becoming-a-prediction-economy-4scji5j3z
og:image: https://api.daily.dev/og/posts/4sCJI5j3Z.png
og:image:alt: The media industry is becoming a prediction economy
og:image:width: 1200
og:image:height: 630
og:locale: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# The media industry is becoming a prediction economy

**[databricks](https://daily.dev/sources/databricks)** · 8 min read · 2 upvotes · 0 comments

## Summary

Databricks argues media and advertising are shifting from counting attention to predicting and proving outcomes. Only 3% of CMOs can tie half their marketing to a business outcome, per McKinsey. Databricks proposes a unified data foundation built on four C's: context (CustomerLake, Genie, Lakebase), control, cost and choice, with Unity Gateway covering control, cost and choice. PetSmart used loyalty data from 75 million Treats Rewards members with AI decisioning agents, driving a 22% lift in salon bookings and a 13% lift in auto-ship transactions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/media-industry-becoming-prediction-economy>

## Questions this post answers

### What percentage of CMOs can tie their marketing spend to a business outcome?

Only 3% of CMOs can tie half their marketing to a business outcome, according to a McKinsey study on marketing's core functions. This gap is driving a shift in media and advertising from measuring attention (impressions, reach, clicks) toward predicting and proving outcomes, often described as a move from a 'hope economy' to a 'prediction economy'.

_Marketers trying to prove ROI can track how data and AI foundations evolve to close that gap on daily.dev._

### What results did PetSmart get from using AI agents with its loyalty program data?

PetSmart used loyalty data from its 75 million Treats Rewards members with AI decisioning agents to move beyond batch-and-blast campaigns, delivering personalized messaging at scale. This produced a 22% incremental lift in salon bookings and a 13% lift in auto-ship transactions, with the gain attributed to unifying the data estate rather than using a smarter model.

_Teams evaluating agentic marketing platforms can follow real-world results like this on daily.dev._

## Similar posts on daily.dev

- [The last mile: why great first-party data still doesn't make great marketing](https://daily.dev/posts/the-last-mile-why-great-first-party-data-still-doesn-t-make-great-marketing-k68zgkdhn) · databricks · 0 upvotes · 0 comments
- [Retail Media Explained: How Marketplaces Turn Data into Revenue](https://daily.dev/posts/retail-media-explained-how-marketplaces-turn-data-into-revenue-fndougozm) · Netguru · 0 upvotes · 0 comments
- [How banks are turning first-party data into real media value](https://daily.dev/posts/how-banks-are-turning-first-party-data-into-real-media-value-0r1ttx5tz) · TechCentral · 0 upvotes · 0 comments
- [Connecting retail demand planning to campaign and store execution](https://daily.dev/posts/connecting-retail-demand-planning-to-campaign-and-store-execution-5h54qeopd) · databricks · 1 upvotes · 0 comments
- [From RAG to ontology: Databricks bets on context as the key to trusted AI agents](https://daily.dev/posts/from-rag-to-ontology-databricks-bets-on-context-as-the-key-to-trusted-ai-agents-ftjlhhcsd) · InfoWorld · 0 upvotes · 0 comments

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#business](https://daily.dev/tags/business), [#big-data](https://daily.dev/tags/big-data), [#databricks](https://daily.dev/tags/databricks)

[View this post on daily.dev](https://daily.dev/posts/the-media-industry-is-becoming-a-prediction-economy-4scji5j3z)

```json
{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]}
{"@context":"https://schema.org","@type":"TechArticle","headline":"The media industry is becoming a prediction economy","url":"https://daily.dev/posts/the-media-industry-is-becoming-a-prediction-economy-4scji5j3z","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/the-media-industry-is-becoming-a-prediction-economy-4scji5j3z"},"datePublished":"2026-10-26T15:26:08.848Z","dateModified":"2026-10-26T15:26:39.054Z","description":"Databricks argues media and advertising are shifting from counting attention to predicting and proving outcomes. Only 3% of CMOs can tie half their marketing...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/68d1340d852a7fd530bcfbcaaf004fec?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/68d1340d852a7fd530bcfbcaaf004fec?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"databricks","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"databricks","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/fa7aa720f2db4d1eba826814730482c8","url":"https://daily.dev/sources/databricks"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/the-media-industry-is-becoming-a-prediction-economy-4scji5j3z","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,business,big-data,databricks","timeRequired":"PT8M"}
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"databricks","item":"https://daily.dev/sources/databricks"},{"@type":"ListItem","position":3,"name":"The media industry is becoming a prediction economy"}]}
{"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/the-media-industry-is-becoming-a-prediction-economy-4scji5j3z#faq","mainEntity":[{"@type":"Question","name":"What percentage of CMOs can tie their marketing spend to a business outcome?","acceptedAnswer":{"@type":"Answer","text":"Only 3% of CMOs can tie half their marketing to a business outcome, according to a McKinsey study on marketing's core functions. This gap is driving a shift in media and advertising from measuring attention (impressions, reach, clicks) toward predicting and proving outcomes, often described as a move from a 'hope economy' to a 'prediction economy'. Marketers trying to prove ROI can track how data and AI foundations evolve to close that gap on daily.dev."}},{"@type":"Question","name":"What results did PetSmart get from using AI agents with its loyalty program data?","acceptedAnswer":{"@type":"Answer","text":"PetSmart used loyalty data from its 75 million Treats Rewards members with AI decisioning agents to move beyond batch-and-blast campaigns, delivering personalized messaging at scale. This produced a 22% incremental lift in salon bookings and a 13% lift in auto-ship transactions, with the gain attributed to unifying the data estate rather than using a smarter model. Teams evaluating agentic marketing platforms can follow real-world results like this on daily.dev."}}]}
```

