pace.

Description Permissions Security & Compliance

Pace is an AI ad optimisation and budget pacing platform for agencies and in-house teams running paid media across Google, Meta, LinkedIn, Microsoft, TikTok, Reddit, Amazon and X.Pace for Slack posts your ad alerts and reports to the Slack channels you choose, so your team sees what needs attention without opening another dashboard.What Pace posts to Slack:
• Pacing alerts when an account runs ahead of or behind its budget
• Overspend alerts when Pace acts to hold a monthly budget, and when spend is back under it
• Findings, written by AI, on what's worth your attention in an account
• Ad policy issues, including disapprovals and broken links, on Google, Meta, LinkedIn, Microsoft and TikTok
• Weekly performance reports, on the day and hour you set
• Pacing run summaries and new performance recordsHow it works in Slack:
• Messages are one-way. Pace posts and your team reads.
• Buttons in a message open the right screen in Pace. Nothing is approved or changed from inside Slack.
• Set one default channel for your workspace, or send each client account to its own channel.
• Turn each alert type on or off for Slack. Urgent alerts post straight away and lower-urgency alerts are grouped into one daily digest per channel.AI disclaimer:
Findings are generated by AI. AI-generated outputs may be inaccurate, so check important details before acting on them.Your Slack data:
Pace can post messages, see the names of public channels and join public channels. It can't read your messages or search your Slack workspace, and your Slack data is never used to train AI models.How to install:
1. Log in to Pace at app.paceads.com, or create an account.
2. Go to Settings, then Notifications, and click Connect Slack.
3. Approve Pace on Slack's screen.
4. Choose a default channel and save.
5. Tick Slack on each alert type you want.Pace for Slack requires a Pace workspace on the Pro, One or Enterprise plan. You can disconnect at any time from Settings in Pace.Learn more at https://paceads.com/slack

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General

Privacy & data governance

Data retention policy

The Slack token and channel configuration are retained only for as long as the Slack integration remains connected in the customer's account. Pace does not read, process, or store the content of any Slack message — the integration only posts outbound notifications; it never ingests anything from Slack.

Data archiving and removal policy

No Slack alert data is stored. Customers can disconnect Slack themselves at any time from Settings → Notifications, which immediately deletes the stored token. Customers can also request deletion by emailing support@paceads.com.

Data storage policy

Slack OAuth tokens and channel-routing configuration are stored in Pace's production database (Google Cloud Platform / Firebase Firestore), encrypted at rest with AES-256 and in transit with TLS 1.2+ — the same infrastructure and encryption used for all Pace customer data (see paceads.com/trust).

Data center location(s)

United States

Data hosting details

Firestore // Google Cloud //nam5

Data hosting company

Google Cloud

App/service has sub-processors

App/service uses large language models (LLM)

yes

LLM model(s) used

OpenAI GPT-5.5, with GPT-5.4 as a fallback, deployed in Pace's own Microsoft Azure AI Foundry resource. Pace also uses Google's gemini-embedding-001 model to detect duplicate Findings. That model produces no text shown to users.

LLM retention settings

Models are stateless. Under Microsoft's default abuse monitoring, flagged prompts and outputs may be stored in the US for review by authorised Microsoft staff, and never train models. Findings stay in the Pace workspace until deleted on request.

LLM data tenancy policy

Runs in Pace's own Azure AI Foundry resource. Microsoft states prompts and outputs aren't available to other customers or OpenAI and don't train models. Prompts contain ad account data, never Slack messages, which Pace can't read.

LLM data residency policy

Azure resource is in East US 2. Global deployment, so prompts and outputs may be processed in any geography where the model runs. Azure data at rest stays in the US. Findings are stored on Google Cloud in North America.

Certifications & compliance

Security