Alli for Always-On Monitoring

Hear about it early. Fix it while it’s small.

Most monitoring is a morning routine: log in to five platforms and hope nothing broke overnight. Alli for Always-On Monitoring watches your channels for you, flags problems and openings while there’s still time to act, and sends each signal to the person who decides. Alerts read your data and never change it. Your people make the calls.

Last updated

Customer impact

What results are teams seeing with Alli?

Plumbers Getting it Done

With Alli, PMG defined the audience from how plumbers actually spend their time, then turned seven hero videos into 63 ad versions for addressable TV, CTV, and trade social. Alli Creative Insights scored every version, and Alli Alerts flagged pacing issues so spend could move to what worked.

34%Higher Cost Effectiveness Than Benchmark

84%Video Completion Rate

Read the Sterling story

207Countries spanned

With Alli, PMG built Nike's Global Media Data Foundation. Alli Datasources pulls in data from about 200 platforms and internal systems, the Alli Semantic Layer gives every market the same taxonomy and business logic, and Alli Alerts protects data quality. Daily feeds go straight into Nike's CRM, CDP, and MDM.

Read the Nike story

63%Higher Net New Buyer Conversion

With Alli, PMG mapped audiences to each brand's store footprint and served region-specific ads within the same national Thursday Night Football broadcast, a first for QSR. Household-level exposure was matched to credit card transactions, so budget could follow real sales signals week to week.

Read the CKE Restaurants story

Explore customer stories

The challenge

Why do problems get noticed so late?

The data to catch most problems already exists. What’s missing is someone looking at it at the right moment. A campaign that stopped spending on Friday can stay dark all weekend. A broken landing page keeps charging for clicks.

Adding people to watch dashboards doesn’t fix this. It moves the problem to Monday morning. Teams need the signal to find them, with enough context to tell whether the cause is the campaign, the data, or the market, and a clear owner for what happens next.

  • Morning platform checks

    Hours go to logging in just to confirm nothing broke

    How Alli for Always-On Monitoring handles itAlli Alerts watches every connected channel and posts to Slack when something needs a look

  • Nights and weekends

    A stalled campaign or an early budget cap sits until someone opens the platform

    How Alli for Always-On Monitoring handles itInvestment guardrails flag no-spend, budget caps, and hourly pacing off plan

  • Alerts stuck in silos

    Each ad platform only sees itself, so cross-channel problems go unseen

    How Alli for Always-On Monitoring handles itOne alerting layer across connected channels, with the same detection logic

  • Threshold noise

    Fixed percentage rules trip on normal swings until people mute them

    How Alli for Always-On Monitoring handles itAnomaly detection learns each metric’s normal pattern, so it flags what’s unusual for that metric

  • Broken pages and feeds

    Ads keep serving to error pages and empty shelves

    How Alli for Always-On Monitoring handles itGlobal hygiene checks scrape URLs and watch product feeds, including out-of-stock products still serving

  • Market moves out of sight

    A competitor or category shift shows up in a quarterly recap

    How Alli for Always-On Monitoring handles itAuction alerts flag impression share drops and new advertisers, and Business Insights and Commerce Insights keep the outside view current

  • Is it us or the market?

    Teams change bids when the cause is a site, a pixel, or the whole category

    How Alli for Always-On Monitoring handles itRead the alert next to market context and feed health before touching the campaign

  • Signals with no owner

    An alert lands in a channel and everyone assumes someone else has it

    How Alli for Always-On Monitoring handles itGenerative Workflows routes the signal, pulls context, and drafts a recommended change for review

The system

How does always-on monitoring work in Alli?

Alli for Always-On Monitoring is a loop. It detects a signal, explains what’s behind it, routes it to an owner, lets a person decide, and then tunes the rules so the next round is quieter. Everything runs on the data that Datasources brings into Alli, so the alert and the dashboard agree.

StageWhat happensProductsWhat it’s worth
DetectStandard Alerts flag performance outside each metric’s historical pattern. Investment guardrails, hygiene checks, and auction alerts cover spend, pages, feeds, and competitors. Custom Alerts add your own rules.Alli Alerts, DatasourcesProblems and breakouts reach the team when they show up in the data, not in next week’s report
ExplainMarket and category context shows whether the cause is your work or the world around it. Data Explorer answers the follow-up question.Business Insights, Commerce Insights, Data ExplorerThe first fix is the right fix
RouteAn alert starts a workflow that pulls context and sends a drafted recommendation to Slack.Generative WorkflowsEvery signal has an owner and a next step
DecideA named person weighs the recommendation against what they know, then raises a cap, fixes a feed, moves budget, or holds.Your media, search, and operations teamsThe decision stays with the person who knows the market
RefineTeams tune thresholds and build Custom Alerts for the checks they still do by hand.Alli AlertsNoise falls and coverage grows
In action

See always-on monitoring in action

Five moments from the loop, each shown by the decision it improves.

01Guard the budget · Alli AlertsFind out a campaign went dark while there’s still time to fix it.

Investment guardrails watch spend and pacing. Set triggers for budget caps, no-spend alerts, and hourly pacing, and the team hears about it in Slack when a campaign stalls or runs toward its cap early.

What it’s worthSpend stays on plan, and a stalled campaign doesn’t go unnoticed for days.

Explore Alli Alerts
02Know what’s unusual · Alli AlertsHear about the real drop or breakout, not every wobble.

Alli Anomaly Detection uses models built by PMG’s data science team that learn each metric’s historical pattern, including weekday swings and seasonality. Drops and gains both get flagged.

What it’s worthFewer false alarms, and alerts worth acting on.

Explore Alli Alerts
03Stop paying for dead ends · Alli AlertsStop paying for clicks that land on errors or empty shelves.

Global hygiene checks scrape landing pages and watch product feeds. They catch serving issues, broken URLs, feed failures, and out-of-stock products that are still being advertised.

What it’s worthA feed or page problem reaches the team before a peak shopping window makes it expensive.

Explore Alli Alerts
04Tell the market from your own work · Alli Business InsightsKnow whether to change the campaign or leave it alone.

When results move, Business Insights shows how the category and your competitors are moving. Commerce Insights shows purchases, product views, and share of category across major retailers, week by week. Read next to an alert, they show whether you lost ground or the whole market shifted.

What it’s worthTeams stop fixing campaigns that aren’t broken, and they spot lost ground sooner.

Explore Alli Business Insights
05Send the signal to the person who decides · Alli Generative WorkflowsTurn an alert into a drafted next step, and keep the decision with your lead.

A workflow built in Generative Workflows can start from an alert, pull the context, and send a drafted recommendation to Slack. The media lead weighs it against what they know about the market and decides whether to make the change.

What it’s worthThe gap between noticing and acting gets shorter, and the call stays with a person.

Explore Alli Generative Workflows
People in charge

Who decides what gets flagged and what happens next?

Built to scale your team’s attention, not replace it.

Alli does the watching, at a scale no person can sustain, and it reads your data without changing it. Your media buyers, search leads, ecommerce managers, and operations teams choose which signals matter, set the thresholds, and decide what to do when one fires. The AI scales their expertise, so they spend mornings on decisions instead of platform checks.

StageWhat Alli doesWhat your people do
DetectWatches connected channels and flags outliers, pacing issues, broken pages, feed failures, and auction shiftsDecide which alerts exist, and set the ranges that count as normal
ExplainShows market, category, and data-health context next to the alertJudge whether the cause is the campaign, the data, or the market
RouteStarts a workflow, pulls context, and drafts a recommendation in SlackOwn the signal, and review the draft
DecideWaitsRaise a cap, fix a feed, move budget, or hold. Make the change in the platform.
RefineApplies updated thresholds and Custom AlertsRetire noisy alerts, add rules for checks still done by hand
The foundation

Why does monitoring start with trusted data?

An alert is only as good as the numbers behind it. Alli Alerts reads the same trusted data as the rest of Alli, so a no-spend alert and the dashboard agree, and a stale feed shows up as a data problem instead of a phantom campaign problem. Alerts watch that data and flag what changes. They never change it.

Who it’s for

Who is Alli for Always-On Monitoring built for?

By role

  • Media buyers and performance teams

    Stop checking every platform each morning, and respond to the issues that actually need you.

  • Search teams

    See brand impression share drops and new advertisers while you can still adjust bids.

  • Ecommerce and retail teams

    Catch feed failures and out-of-stock products still serving before peak shopping windows.

  • Marketing operations

    Keep ad strength, sitelinks, and URL hygiene consistent across accounts.

  • Marketing leaders

    Know that spend is protected and issues surface fast, without adding people to watch dashboards.

By industry

  • Retail and consumer goods

    Product feeds, promotions, and category movement watched across many accounts and retailers.

Your options

How does Alli compare to checking platforms by hand?

Most teams monitor with people checking platforms, plus the alerts built into each ad platform. Each helps. Neither gives one view across channels.

Manual checksNative platform alertsAlli for Always-On Monitoring
CoverageWhatever someone has time to checkOne platform at a timeEvery connected channel, in one alerting layer
Detection logicHuman judgmentEach platform’s own rulesData science anomaly detection plus your custom rules
NoiseDepends on the personOften simple thresholds that trip on normal swingsModels that account for historical patterns
Hygiene checksSpot checksLimitedAutomated URL scraping and feed monitoring
Market contextFound in reports laterLimitedBusiness Insights and Commerce Insights alongside the alert
Follow-upWhoever noticed tells someoneEach platform’s inboxSlack, plus a workflow that drafts the next step
Getting started

Where should a team start?

Start with the alerts that protect money, then widen. Each entry point connects to the rest of the loop later.

Alerts that get ignored

Replace one noisy fixed-threshold rule with a model-based alert

Start with Alli Anomaly Detection

Alli for Always-On Monitoring FAQ

How Alli helps teams catch problems and opportunities early, with their experts in charge.

  1. What is Alli for Always-On Monitoring?

    Alli for Always-On Monitoring is a set of Alli products that watch your channels, flag problems and opportunities while they’re still small, and send each signal to the person who decides. It combines Alli Alerts, Business Insights, Commerce Insights, and Generative Workflows on the same trusted data. People make every decision.

  2. How do you catch campaign problems without checking every dashboard?

    Let rules and models do the watching. Alli Alerts monitors spend, pacing, landing pages, product feeds, ad quality, and auction shifts across connected channels, then posts to Slack when something needs a look. Start with the checks that protect money: no-spend alerts, budget caps, and broken pages on your highest-spend campaigns.

  3. What is the difference between anomaly detection and a threshold alert?

    A threshold alert fires when a metric moves a fixed amount, so it trips on normal swings. Alli Anomaly Detection uses models built by PMG’s data science team that learn each metric’s historical pattern, including weekday and seasonal swings. It flags what’s unusual for that metric, which means fewer false alarms and more alerts worth acting on.

  4. Won’t alerts flood our Slack?

    They shouldn’t. Alerts are built around signals that need a decision, and your team sets the acceptable range and trigger conditions together with PMG. Model-based detection filters out routine volatility. Start with a small set tied to spend, add more as the team trusts them, and retire any alert that proves noisy.

  5. How quickly will we know about a problem?

    Alli Alerts checks signals as data arrives, and investment guardrails support hourly pacing triggers. Speed depends on how often each platform reports its data, so some signals arrive within hours and others daily.

  6. Do alerts change anything in our accounts?

    No. Alli Alerts reads your data and tells your team what it sees. It doesn’t edit campaigns, budgets, or feeds. A person decides whether to raise a cap, fix a feed, or hold spend, and makes the change.

  7. Can an alert start a follow-up action?

    Yes. An alert from Alli Alerts can start a workflow built in Generative Workflows. The workflow can pull the context and draft a recommended change, such as a budget shift, and send it to Slack for the media lead to review. The lead then decides whether to make the change.

  8. How do I tell a campaign problem from a data problem or a market shift?

    Check the source first, then the market. Datasources shows connection status and feed health, so you can see whether a stalled number is just a stale feed. If the data is current, read the alert next to Business Insights and Commerce Insights to see whether your category moved too. Then change the campaign.

  9. Does Alli replace the people who watch campaigns?

    No. Alli does the watching at a scale no person can sustain. Your media buyers, search leads, and marketing operations team decide which signals matter, what thresholds to set, and what to do when an alert fires. The AI scales their expertise, so they spend mornings on decisions instead of platform checks.

  10. Who can use Alli for Always-On Monitoring?

    Alli is available to PMG clients. Media, search, ecommerce, and marketing operations teams use the same platform PMG’s experts use, so both sides see the same alerts and data. Book a walkthrough and we’ll show you the alerts your team would have received last month.

Spend your mornings on decisions.

Book a monitoring walkthrough and we’ll show you the alerts your team would have received last month, and how much manual checking they’d have saved. Alli is available to PMG clients.