Tag: iPhone apps

AR Cinema: London Movie Scenes on iPhone

Turn London into a living movie map

The Augmented Reality Cinema app for the iPhone allows you to walk around London and discover all the places where movies have been shot. Just point your iPhone in the direction of a sweetspot, and get a replay of the movie scene that was shot there. Here, a “sweetspot” is simply a nearby filming-location marker the app points you to.

The app is currently a work in progress prototype. But if and when it does see the light of day, I am sure it will make a great gizmo for all the movie buffs out there.

The magic is not AR. It is time travel

The clever part is the juxtaposition. You stand in the real location. Then you pull the filmed moment back into that exact space. That overlap between “here” and “then” is what makes the concept feel instantly shareable and instantly fun. The AR layer should stay secondary. The scene is the hero.

City exploration experiences land best when they turn real-world wandering into a lightweight mission with an instant payoff.

In European city tourism and cultural discovery, experiences like this work when they reward curiosity without changing how people naturally move.

The real question is whether you can make a place feel different in ten seconds, with one gesture, without breaking the walk.

Why this fits the way people explore cities

It turns wandering into a mission without forcing a route. You move naturally, and the city rewards curiosity with a scene. That is a strong mechanic for tourists and locals alike because it makes discovery feel personal.

Extractable takeaway: If your experience can turn “I am here” into “I was there” with a single action, the user will do the sharing for you.

What this prototype is really aiming for

A new kind of location-based entertainment. Part guided walk, part trivia, part nostalgia. Built around the simplest action. Point. Watch. Move on.

Steal this pattern for AR city walks

  • Real place first. Anchor the experience to real places people already want to visit.
  • One gesture unlocks payoff. Give the user one simple gesture that unlocks the payoff. Point and replay.
  • Use “before vs now” contrast. Use “before vs now” contrast as the hook. It creates emotion without heavy storytelling.

A few fast answers before you act

What does the Augmented Reality Cinema app do?

It lets you walk around London, point your iPhone toward a location “sweetspot,” and replay the movie scene filmed there.

Is the app available?

The post describes it as a work-in-progress prototype.

Who is it for?

Movie buffs and anyone who enjoys exploring film locations while walking the city.

What is the core mechanic?

Location-based discovery paired with an AR replay that overlays a movie scene onto the real place where it was shot.

Why does this feel like “time travel” rather than AR?

Because the payoff is the filmed moment mapped back onto the real location, so you experience “here” and “then” at the same time.

Budweiser: Ice Cold Index

Weather obsession turned into a price lever

Few cultural triggers are as universal as the weather. Budweiser used that everyday obsession to turn attention into action at the pub.

Irish people have always been fascinated by the weather, but their interest is set to reach new heights this summer with the launch of the Budweiser Ice Cold Index.

The Budweiser Ice Cold Index app is set to show you the local weather, then spit out redemption codes for free or discounted beer at nearby participating pubs. The higher the temperature, the less you will pay for your pint.

How the Ice Cold Index mechanic worked

The mechanism is simple. Combine three inputs into one immediate reward: location, temperature, and a redeemable code.

The app checks local weather. It then generates a redemption code tied to nearby participating pubs. Price sensitivity is built into the rule set. As temperature rises, the customer’s price drops. This is dynamic pricing in its simplest form: a discount rule that updates automatically based on a measurable condition.

That turns “checking the weather” into “moving into the selling space”.

The real question is how you turn a daily habit check into a measurable step toward purchase without it feeling like a random coupon drop.

Linking price to an external context signal beats arbitrary discounting, because the offer explains itself in one line.

In Irish on-trade activations, weather-linked rules can make a pub choice feel like a natural, talkable next step.

Why the offer feels timely, not forced

It lands because it connects to a real moment of intent. Warm weather increases thirst and increases pub footfall. The offer arrives at exactly the time the customer is already considering a drink.

Extractable takeaway: If you can anchor an incentive to a shared, observable condition, you reduce explanation friction and increase redemption because the context does the persuading.

It also feels fair and transparent. The rule is easy to understand. Hotter day equals cheaper pint. That clarity reduces skepticism and makes the incentive feel like a natural extension of the context.

The business intent behind linking price to temperature

The intent is to convert ambient interest into measurable behavior.

By tying discounts to local conditions, the brand creates a reason to choose a participating pub now, not later. It also encourages repeat checking and repeat visits, which is where loyalty accrues in practice.

This app literally moves people into the selling space, provides refreshment, and so it should gain some loyalty points with customers as well. Too bad it is only in Ireland.

Steal these moves from the Ice Cold Index

  • Attach the incentive to a context signal. Weather is a shared trigger that makes offers feel relevant.
  • Use a rule people can explain in one sentence. Clarity increases trust and redemption.
  • Move people into the selling space. The best mobile incentives reduce distance between intent and purchase.
  • Design for repeat behavior. If the offer updates with conditions, customers have a reason to come back.

A few fast answers before you act

What is the Budweiser Ice Cold Index?

A mobile app concept that shows local weather and generates redemption codes for discounted drinks at nearby participating pubs, with discounts increasing as temperature rises.

What was the core mechanism?

Dynamic pricing driven by weather conditions, delivered through location-aware redemption codes for nearby pubs.

Why does tying price to temperature work?

Because it aligns with real-world demand. When it is warmer, people are more likely to buy a cold drink, and the offer feels timely rather than random.

What business goal does this support?

Driving footfall to participating pubs, increasing redemption rates, and encouraging repeat engagement through an offer that changes with conditions.

What is the transferable takeaway?

Use a shared context trigger to make incentives feel natural, then deliver a simple, redeemable action that moves people into purchase.

Fiat Street Evo

Leo Burnett Iberia has launched a new app called Fiat Street Evo, described as a “not-printed” car catalogue. A catalogue that is virtually on every street in your city.

Fiat Street Evo recognises traffic signs as if they were QR codes and associates each sign with a feature of the new Fiat Punto Evo. For example, a STOP sign points you to braking. A curve-ahead sign points you to intelligent lighting that guides you through bends. The list continues across the everyday signage you pass without noticing.

When street furniture becomes a product demo

The mechanism is a neat inversion of the usual brochure logic. Instead of printing a catalogue and hoping people keep it, the city becomes the index. Your camera becomes the browser, and the sign becomes the trigger. Here, “street furniture” means the signs and fixtures already in public space.

In automotive launch marketing, the strongest mobile ideas turn the real world into media without asking people to change their routine.

Why it lands

It reframes “specs and features” as discovery. You do not read a list. You unlock a feature in context, tied to a symbol you already understand. That makes the catalogue feel lighter, and it makes exploration feel like play rather than research. This pattern is stronger than a brochure-style feature list because it earns attention through context, not interruption.

Extractable takeaway: Product education travels further when it is organised around familiar cues in the environment, not around the brand’s feature taxonomy.

What Fiat is really trying to achieve

The real question is whether you can make the phone the first place curiosity goes by attaching product education to cues people already recognise. This kind of execution is doing two jobs at once. It builds attention for a new model, and it makes the phone the first place curiosity goes. That matters because the intent moment is not always at a dealership. It is often on the street, in motion, and in between other tasks.

Patterns to borrow for mobile launch marketing

  • Borrow existing symbols. Traffic signs already carry meaning. Use that meaning as your information architecture.
  • Keep the mapping intuitive. The sign-to-feature link should feel obvious, or people will drop the experience.
  • Design for quick sessions. One sign. One feature. One payoff. Repeat when you feel like it.
  • Make “catalogue” feel like exploration. A sense of discovery beats a long scroll of specifications.
  • Use the city as distribution. When the triggers are everywhere, frequency becomes effortless.

A few fast answers before you act

What is Fiat Street Evo in one sentence?

It is a mobile catalogue concept that recognises traffic signs and uses each sign to reveal a related Fiat Punto Evo feature.

Why call it a “not-printed car catalogue”?

Because the “pages” are distributed across the city as street signs. The phone becomes the reader, and the street becomes the catalogue.

What makes the sign-to-feature mapping important?

The mapping is the comprehension layer. If the association feels natural, users keep going. If it feels random, the idea collapses into novelty.

What is the biggest execution risk?

Recognition reliability. If the app struggles to identify signs in real conditions, people will not persist beyond the first attempt.

What should you measure in a pilot?

Successful recognitions per session, repeat usage, time-to-first-payoff, and whether the experience increases search, dealership visits, or brochure requests.