Your data is powerful.
    But the Marketing team can't work with it.

    Rig makes it usable — so campaigns optimise in real time.

    Trigger

    Meta ad ROAS drops below 2.0 on any campaign

    Rig Agent Reasoning
    Detect spend anomaly
    Break down by ad set
    Compare to 7-day avg
    Draft Slack summary
    Output & Actions

    #growth-alerts: "Campaign X ROAS 1.3 — ad set B driving 80% of waste"

    Auto-pauses underperforming ad sets + tags growth lead

    Real-time
    vs next-day reports
    $12k
    Wasted spend saved / mo
    0
    Manual checks needed

    See how Rig catches ad spend anomalies in real time

    From ROAS alert to root cause and auto-paused ad sets — no manual checks.

    Rig Agent Outputs
    Ad Spend Anomaly Detectorv1Campaign: Summer Sale Q2
    Select Workflow
    Ad Spend Anomaly Detector67
    Campaign Comparator31
    Attribution Auditor14
    Budget Allocator8
    Select Slack Alert
    #
    #paid-media
    Campaign 'Summer Sale Q2' ROAS dropped to 1.3
    #
    #paid-media
    Campaign 'Retarget Lapsed' CPA spiked +42%
    #
    #growth-alerts
    Daily spend exceeded $8k budget cap
    v1
    Run
    Agent working...
    Pulling spend data
    Analyzing ad sets
    Comparing benchmarks
    Drafting actions
    Ad Setscompleted
    Broad - US 25-44Paused
    Spend: $4,210ROAS: 0.9
    Lookalike - PurchasersActive
    Spend: $2,870ROAS: 1.8
    Retargeting - CartActive
    Spend: $1,560ROAS: 3.1
    Root Cause
    Analysis: ‘Broad - US 25-44’ consumed 49% of spend at 0.9 ROAS. CPM spiked +38% due to seasonal auction competition, degrading cost-efficiency on non-retargeting placements.
    Actions3
    Paused 'Broad - US 25-44' ad set (ROAS 0.9, below 1.0 floor)
    Reallocated $2,100 daily budget to Retargeting - Cart
    Sent Slack alert to #paid-media with full breakdown

    Common questions

    Real-time monitoring and response. When Meta ad ROAS drops below your threshold, Rig breaks spend down by ad set, compares it to the 7-day average, posts a Slack summary, and can auto-pause the underperforming ad sets. The example on this page saves around $12k a month of wasted spend with zero manual checks.

    Rig works directly over your warehouse, so it can join campaign, product, and revenue data in one place, the ad spend, conversion, and downstream revenue that usually live in separate tools, instead of forcing you to stitch reports together.

    Both. Rig sends the alert and takes the action, pausing ad sets, tagging the growth lead, updating records, with every step governed by role-based access control and recorded for audit.

    Rig automatically builds and maintains the context layer over your warehouse, so marketing teams self-serve without analyst tickets and typically go live in weeks, not months.

    Ready to cut wasted ad spend?