Marketing decisions. Built their way.
ASKET replaced weekly spreadsheets with an agent that recommends where to spend — and an app to review the reasoning and act.
Jonatan Ehn
CCO, ASKETTurn connected commerce data into your own budget app. Just describe what you need: new-customer growth, profit down to CM3 and spend changes ready for approval.
Checked against measurement, CM3 and available stock.
Two channel changes ready for approvalUsed by the teams at
ASKET replaced weekly spreadsheets with an agent that recommends where to spend — and an app to review the reasoning and act.
Jonatan Ehn
CCO, ASKETAsk for the channels, markets and profit thresholds your team uses. Refine the same app as the plan changes.
0 items selected for Meta & Google Ads.
All your commerce data, connected and ready for AI. Dema joins the records, defines your metrics and keeps your apps and agents current.
Plan spend with new customers, product economics, returns and stock in view.
Describe your budget rules and profit thresholds. Get proposed changes, with the numbers behind them, ready for approval.
Within your ±20% limit. +€19.5k projected weekly contribution.
MMM, incrementality testing and causal attribution are built in. Use them together to challenge reported performance and decide where the next euro should go.
See what remains after product, fulfilment and marketing costs, with returns accounted for. Your app, agent and finance team work from the same definitions.
After costs. After advertising.
Connect your data, describe the work and put a reviewed workflow in your team’s hands.
Connect store, ad accounts and product costs in one model.
Ask for your budget app, profit rules and daily checks.
Review proposed changes, then send them to ad accounts and the budget sheet.
Yes. These are examples of what you can create. Describe your own app or recurring job in chat, using your connected data and available tools. Review the result and refine it in the same conversation.
Start by describing the job as you would to a colleague. Ask for the views, metrics and rules you need, review the result, and ask for changes. Your team can create and adjust apps and agents in plain language.
Compare acquisition cohorts by contribution-based lifetime value, market and channel, and use those differences in CAC targets. Segment products by CM3, return rate and forecasted sell-through to decide where the feed should scale, test or limit spend. These analyses are useful on their own and can also inform an app or recurring workflow.
Dema brings channel performance together with product costs, returns, stock and customer value. MMM scenarios and experiment evidence add context for budget decisions across the mix, including where reducing spend may improve contribution.
No. Keep platform reporting visible alongside calibrated attribution. Calibration applies explicit factors informed by experiment evidence to the chosen attribution baseline; it does not mean every campaign has its own incrementality test.
Only within the permissions you set. The default workflow prepares moves with the evidence attached and waits for a named person to approve. Approved moves then execute in Meta, Google, and the other connected channels.
MMM supports scenarios across the marketing mix. Incrementality tests estimate lift against a control. Causal attribution uses that evidence to calibrate channel reporting. Read each result at the channel, market and time window it supports, alongside contribution and stock constraints.
Yes. CAC targets, breakeven levels, and guardrails are defined once per market by your team, and every answer, monitor, and prepared move reuses them — nobody re-explains the rules in a prompt.
Bring your workflow. See how to create the app or agent your team needs in a live walkthrough.
Build with Dema.