What challenges did Incrementa face before AI implementation?

Manual analysis of millions of advertising records took days or weeks to update. The work required up to four people and limited the firm's ability to serve larger brands. The agency needed to move from data reporting to strategic insight generation.

What was the impact of the AI solution?

Campaign analysis time fell from one week with two people to three hours for an update. Productivity increased by more than 40%. Client campaign reach improved by more than 30%. The agency grew to become Chile's eighth largest media investment agency.

Source

GCP

Incrementa uses Gemini Enterprise Standard for campaign analysis and client insights

Use case typeMarketing analyticsUpdated 1 day ago

Incrementa is a Chilean hybrid marketing agency that uses Google Cloud AI to analyze large volumes of campaign data and turn it into strategic consulting output. The implementation centralizes advertising data from Meta, Google Ads and TikTok in BigQuery, uses Cloud Run to extract data from APIs, and uses Gemini Enterprise Standard as the natural-language front end. The workflow also incorporates unstructured context from client materials in Microsoft OneDrive so the analysis combines structured and unstructured information.

Organization: Incrementa
Industry: Professional Services
Location: Chile
Published: July 2026

Reported outcomes

+40%

productivity increaseProductivity & throughput

3 hoursanalysis cycle time+30%client campaign reach improvement

Strategic outcomes

Other strategic outcomeExpanded from smaller brands to large brandsBetter decisions & insightShifted from data reporting to strategic consultingScale & capacityAnalyzed all client campaigns with AI

Catalog median for productivity & throughput deployments: +45% across 225 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Marketing analytics
2Conversational analytics
3Real-time analytics

Manual analysis of millions of advertising records took days or weeks to update.
The work required up to four people and limited the firm's ability to serve larger brands.
The agency needed to move from data reporting to strategic insight generation.

Cloud Run extracts campaign performance data from external APIs and centralizes it in BigQuery as a single source of truth.
Gemini Enterprise Standard and Gemini 2.5 Pro provide the AI front end for natural-language querying and interpretation.
Unstructured context such as brand manuals and client contracts is stored in Microsoft OneDrive to enrich analysis.

Technologies

Gemini Enterprise Standard Gemini 2.5 Pro BigQuery Cloud Run Microsoft OneDrive

Campaign analysis time fell from one week with two people to three hours for an update.
Productivity increased by more than 40%.
Client campaign reach improved by more than 30%.
The agency grew to become Chile's eighth largest media investment agency.

Architecture

Cloud Run extracts campaign performance data from external advertising APIs and centralizes it in BigQuery. Gemini Enterprise Standard serves as the natural-language front end and Gemini 2.5 Pro performs analysis over the structured data, with additional context from client manuals and contracts stored in Microsoft OneDrive.

Implementation partners1

Nider

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jul 12, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

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