See how your online ads drive in-store sales

Sound familiar?

• Store sales live in your back-office system, ad spend lives in ad accounts
• Every channel counts conversions its own way and claims all the credit
• The weekly sales and advertising report is assembled by hand
• A seasonal promotion runs out of budget before the promotion ends

Time freed up for marketing

• Daily campaign optimization

  Before
  1–2 h

  With Palitra
  5–10 min to review

• Matching offline sales with spend

  Before
  half a day a week*

  With Palitra
  a CSV upload or an API feed

• Weekly sales and advertising report

  Before
  2–3 h*

  With Palitra
  15 min: the report arrives on schedule

• Keeping a promotion on budget

  Before
  a daily check against the media plan*

  With Palitra
  an alert when spend drifts from plan

* Estimate for a typical account.

How it works

• Offline sales next to advertising

  Export sales from your back-office system as CSV or send them via API, up to 10,000 records per request. Palitra stores them in your project's custom tables and shows them next to ad spend.

• Attribution across every channel

  Eight attribution models, from Last Click to Markov, Shapley and Data-Driven ML, spread credit across every channel, not only paid ones.

• Promotion budgets under control

  Palitra tracks pacing against the media plan and builds a forecast. If a promotion's budget is going faster than planned, the agent sends an alert and suggests what to change.

Features you'll use

• Data and tracking

  Leads and sales next to your ad spend: a cookieless pixel, link tagging, webhooks, an API and CSV uploads.

• Analytics and attribution

  Every ad channel in one place, no spreadsheets: 8 attribution models, ROAS and ACoS down to the product.

• Workflows

  Recurring ad work runs on its own: on a schedule, an event or a webhook, with changes waiting for approval.