You said AIO was complicated. So we added AIO Chat 🟥

Now working with the platform is faster and easier. AIO Chat can guide you through launching a campaign, explain how flows, landing pages and integrations work, help you build the report you need and make sense of your campaign results.

For example:
— How do flows and landing pages work?
— Show me the top campaigns by ROI over the past week
— Which campaign generated more profit?
— Compare the results across two GEOs
— What changed after the creative was replaced?
— Create an alert if daily visits drop below 100

AIO Chat is currently in beta. We are continuing to expand its capabilities 😉

Now you can monitor your traffic right from your phone 🟥

With AIO Copilot you can quickly check what’s happening with your traffic: installs, registrations, FTDs, revenue, ROI and performance across campaigns, sources and geo. If you need to dig deeper, you can simply ask the AI Chat — for example, how ROI changed throughout the day, which campaigns generated the most profit, or where conversion dropped. You’ll get the answer in charts, tables and forecasts.

Visits and conversions appear on the map right at the moment the event occurs. The pulse line reacts to every event: the more valuable the event, the stronger the pulse. The counters show the current event rate per second and the share of junk traffic. The most important metrics can be displayed as widgets on the main screen — up to six indicators with the required period and tenant.

Alerts come straight to your phone too: scheduled reports, new conversions, ad account bans and polling failures.

Download and keep track of your results wherever you are.

P.S. Available only to AIO platform users

Here’s the situation: a buyer has a favorite in the split and keeps sending volume to it because, «it’s almost there — it’s going to hit». Sometimes, it does. More often, though, it’s just paying for believing in a hypothesis that has already lost 🙃

This is a real case from a team working with AIO. Max already talked about it on Diveroli’s podcast: how gut feeling started costing real money and what happened when they let the data make the call instead of their instincts 🟥

Spoiler: conversion rate went up by 15%

Sharing a fresh case from our clients 🌀

While running Pakistan, the team ran into a quirk of this geo: the delayed base accumulated quickly and by day 4–5, up to 30% of active traffic could consist of FTDs from previous days

To evaluate campaigns, the team used AIO, where FTDs can be viewed by click date, allowing them to see delayed conversions immediately

According to them:

Without AIO, we'd be matching spend and FTDs by hand — pulling the day's FTDs from every ad account, checking them against spend, working out the cost and doing it all over again every 2–3 hours just to know what traffic actually costs us.

At $47,000 a month in spend, such analytics would have taken hours of work every day, with no guarantee that the numbers would still be up to date

In the cards, we break down how the team handled delayed conversions in Pakistan and why at this scale looking only at today's CPA isn't enough 👀