Every signal. One picture.

We gather, clean and connect every digital signal a film or series produces, through workflows refined release after release, and we take in signals from any other system you use. The result is one reading of how the title is growing, while there is still time to act.

We have followed film marketing through every era of digital: websites, portals, search, social, creators and now AI. What we learned is that a dashboard is only as good as the data underneath it: which signals you pick, how you clean them, how you tie them to the right title and week, how you keep them consistent over time. That is our work.

2004
the year our data starts: the first film is Spider-Man 2
17.8M
film press articles in our archive
3,700
films recognised and matched across our sources
463
social profiles followed every week, for 435 Italian cinemas

Figures from our platforms, October 2026.

Signals

Eight signals around every film

Each signal is a measure over time, and each one tells part of the story. The value is in reading them together.

  1. Owned

    What is on the official channels of the film and the distributor, the KPIs they generate and how they evolve over time.

    Public data, plus private insights for clients in their dedicated dashboard
  2. Paid

    How paid campaigns on Meta, TikTok and YouTube push the title over time: spend, reach, views, costs.

    Read in the ADV Dashboard
  3. Earned

    How much, and how, the “press”, the web and creators talk about the film without being paid. Sponsored content is filtered out.

    Measured by Loggione and Cinecreators
  4. Influencer campaigns

    How commissioned and invited creator activations perform over time: reach, views and engagement, post by post.

    Measured by Cinecreators
  5. Exhibitor social

    How much cinemas talk about the film on their own social channels over time. They are the first natural influencers of the film world, and the best spread across the country.

    Measured by ESP
  6. Search

    How interest in the film grows on Google, normalised on its release week so that different titles can be compared.

    Our own normalisation of search data
  7. Showtimes

    How many screenings cinemas schedule for the film, and in how many venues, day by day.

    Measured by Showtimes
  8. Admissions

    How advance bookings fill the seats before release.

    Based on the client’s own data

Data from official platform APIs and partners such as Emplifi.

Got a signal we are not reading yet?

Your own data, a provider you trust, a source we have not met yet: if it says something about how a title is growing, we can bring it into the picture.

Tell us about it
Intelligence Dashboard

Where the signals meet

Signals only make sense together. We tie them to the same film and the same week, and read them against comparable titles at the same point in their life.

DMWT, the weekly picture

Our weekly tracking: every signal from the services you activate, in one report and one dashboard, from the first content to release. In the dashboard, the comparison with comparable titles.

Find out more

Streaming titles

Streaming works differently: no box office, no cinemas, a life that lasts months on the platform. We are building a reading designed for OTT, from the first trailer to the launch and beyond.

Custom dashboards

When the standard picture is not enough: custom views on the same signals, the same title matching and the same release-week timeline.

Find out more

Demo data, fictional title.

All Intelligence Dashboards

One picture, wherever you need it

A dashboard is one way to see it. The same reading can reach you as a weekly report, an email alert, an API feed, or straight inside your AI assistant through an MCP connector.

Contact us
Lab

From picture to prediction

What happens when signals stop describing a release and start forecasting it? We are testing it in the open, inside Box Office Cup.

Box Office Cup

Box Office Cup is the box office prediction game of Cineguru, built by SwService. Humans play with their instinct, signal-based agents play with our prediction engine, and human-guided agents combine the two: the engine plus your own weights on the signals that matter to you. Release after release, the leaderboard shows which approach reads the market best.

Write to us for an invite

Box Office Cup is an editorial project by Cineguru, developed by SwService, and is invite-only. Predictions are an experiment, not a product promise.

Why SwService

Born inside film marketing

SwService was founded in 2015 to build the technology services of Brad&K Productions, and inherits its experience and data going back to 2004. More than 1,000 titles taught us which numbers matter on a release and which are just noise.

Film and TV, nothing else

Every metric, benchmark and workflow is designed around release windows, slates and the life of a title. We do not adapt tools made for other industries.

Independent from who runs the campaign

Our workflows read the signals whoever produces them: our team, another agency or the distributor itself. You see one consistent picture, not each supplier’s own report.

Clients

Who we work with

The Walt Disney Company
Disney+
Universal Pictures
Warner Bros.
Sony Pictures
Paramount Pictures
Eagle Pictures
Leone Film Group
01 Distribution
Lucky Red
Vision Distribution
BiM Distribuzione
Notorious Pictures
Adler Entertainment
Filmography

Some of the films Brad&K Productions has worked on since 2004

From Spider-Man 2 to The Odyssey: the experience and data SwService was born from, title by title.

  1. 2004 Spider-Man 2
  2. 2004 The Bourne Supremacy
  3. 2004 Shark Tale
  4. 2005 War of the Worlds
  5. 2005 Madagascar
  6. 2005 Hitch
  7. 2006 Pirates of the Caribbean: Dead Man’s Chest
  8. 2006 Cars
  9. 2006 Casino Royale
  10. 2007 Spider-Man 3
  11. 2007 Shrek the Third
  12. 2007 Transformers
  13. 2007 Pirates of the Caribbean: At World’s End
  14. 2007 The Bourne Ultimatum
  15. 2007 300
  16. 2007 Ratatouille
  17. 2008 Iron Man
  18. 2010 Alice in Wonderland
  19. 2010 Iron Man 2
  20. 2010 Despicable Me
  21. 2010 Toy Story 3
  22. 2011 Thor
  23. 2011 Captain America: The First Avenger
  24. 2011 Fast Five
  25. 2012 The Avengers
  26. 2012 Skyfall
  27. 2013 Iron Man 3
  28. 2013 Frozen
  29. 2015 Minions
  30. 2015 Jurassic World
  31. 2015 Inside Out
  32. 2015 Furious 7
  33. 2016 Fantastic Beasts and Where to Find Them
  34. 2017 It
  35. 2019 The Lion King
  36. 2019 Joker
  37. 2019 Avengers: Endgame
  38. 2021 Spider-Man: No Way Home
  39. 2023 Oppenheimer
  40. 2023 Barbie
  41. 2024 Dune: Part Two
  42. 2024 Inside Out 2
  43. 2024 Deadpool & Wolverine
  44. 2024 Parthenope
  45. 2024 Gladiator II
  46. 2024 Wicked
  47. 2025 Follemente
  48. 2025 Superman
  49. 2025 Avatar: Fire and Ash
  50. 2026 Michael
  51. 2026 Toy Story 5
  52. 2026 The Odyssey

A selection of the titles we have worked on for their Italian release.