Bringing PicFlow to the center of your visual and phygital strategy is an important decision.
But you don't need to change everything at once.
A much safer (and more efficient) path is:
run a 30-day pilot
focused on a clear business segment,
measure results
and, only then, decide how to scale.
This post is a direct guide for marketing teams who want to get PicFlow off the ground without getting stuck in complexity.
First: what does a good PicFlow pilot need to have?
Before diving into the step-by-step guide, it's worth aligning on what differentiates a well-designed pilot from a "loose test":
Clear Scope
a type of store / unit / channel / campaign
a specific objective (e.g., increase conversion, raise average ticket, validate phygital experience).
Measurable Hypothesis
"With PicFlow, we will increase in-store service conversion by X%."
"With PicFlow, the average ticket of those who use the experience will be higher than that of others."
Simple Process
easy to train
easy to repeat
with minimal friction for staff and customer.
Defined Time Window
30 days: enough time to learn, short enough to adjust quickly.
Step 1 – Choose the pilot segment (where to test)
Some starting point options:
Physical frame/print shops
1 to 3 units with good customer traffic.
Frame/print e-commerce
1 specific journey (e.g., "Create with PicFlow" on the homepage or a landing page).
Sports venue / gym / studio
1 type of product (e.g., "journey collection" for new students).
Coworking or office
1 area (a hallway, a floor, a room) to test a gallery with Energy Cards.
The important thing is:
avoid spreading too thin
focus on a "test field" that provides quick feedback
Practical suggestion:
If you are in the frame/print retail business, start with two stores with different profiles (one with high traffic, another with a more consultative profile).
Step 2 – Define the pilot's objective
Some examples of objectives for 30 days:
Increase in-store conversion
compare conversion rate of customers who enter vs. buy, with and without PicFlow.
Increase average ticket
measure average order value with and without the use of Energy Cards/collections.
Validate phygital experience
collect customer perception (simple, via quick survey) about the new journey.
Choose one main objective and, at most, one secondary.
Example:
Main objective: increase average ticket by 15% among customers using PicFlow.
Secondary objective: measure experience acceptance (average score ≥ 8/10).
Step 3 – Design a simple PicFlow usage flow
The question here is:
"How exactly does PicFlow fit into this pilot's journey?"
For a frame shop, for example:
Customer enters.
Salesperson invites:
"Can I show you how your photos would look as art using our PicFlow technology?"
Customer chooses 2–5 photos on their phone.
Salesperson uploads to PicFlow.
Energy Cards are generated.
Salesperson shows the cards on a tablet/screen and suggests:
styles
collections (3, 4 frames)
simulation in sizes/frames.
Customer decides what to buy.
The flow needs to be:
short
easy to train
repeatable at high frequency
You can design this in 5–7 steps and share it with the pilot team.
Step 4 – Prepare lean materials and training
Within 1 week, your team can:
create an approach script for salespeople or attendants
including key phrases to invite the customer to try PicFlow.
produce a visual mini-guide (1 page) with:
the flow steps
examples of Energy Cards and collections
quick answers to common questions ("What if the customer doesn't have a photo?", "What if they don't like the styles?").
conduct a quick training (1–2 hours) with the pilot team:
explain the "why" of the test
demonstrate PicFlow usage in practice
simulate customer interactions
The simpler and more visual this training is, the greater the adoption.
Step 5 – Run the pilot for 30 days and measure
During the 30 days:
ensure that the entire team in the pilot area knows:
when and how to offer the PicFlow experience
how to record some basic data
Minimum data to track:
how many customers were approached to use PicFlow
how many accepted
conversion rate of these customers (bought or not)
average ticket of those who used PicFlow vs. those who didn't
quick qualitative feedback (e.g., score from 0 to 10 for the experience)
It doesn't need to be complex:
a simple spreadsheet or quick form already helps.
Step 6 – Close the loop: analyze, learn, and decide next steps
At the end of 30 days, the marketing team (along with operations and, if applicable, the PicFlow team) should:
Compare results
was there an increase in conversion?
did the average ticket increase when PicFlow was used?
was the experience well-evaluated by customers?
Listen to the front-line team
did salespeople/attendants find the flow easy?
when did the approach work best?
were there frequent objections?
Identify adjustments
improve how to invite the customer
adjust Energy Card styles to better suit the audience
simplify steps that caused friction
Make a clear decision
scale to more units?
run a second pilot with adjustments?
also connect PicFlow to e-commerce or other fronts?
Why this pilot model works well
Low risk
few units / 1 journey / 1 objective → easy to control.
High learning
direct contact with real customers, in a real sales context.
Quick value perception
in 30 days, you can already see if there was an impact on:
conversion
average ticket
brand perception
Solid basis for internal negotiations
with data, it becomes much easier to sell the idea to management, expansion, IT, operations.
Final tips for a successful 30-day pilot
Choose pilot stores/channels well
team motivation is as important as customer traffic.
Communicate the "why" of the test
it's not just "another task," it's a way to sell better and innovate with PicFlow.
Value the stories that emerge
real use cases from the pilot in internal and external presentations.
Plan ahead for "if it works, what do we do?"
a phased rollout proposal avoids losing the momentum of success.
In summary
Piloting PicFlow in 30 days is entirely feasible if you:
choose a clear segment
define a measurable objective
design a simple usage flow
train the team directly
measure and learn with discipline
From there, the decision ceases to be theory:
"Does PicFlow work for us?"
and becomes:
"With the results we saw in this pilot,
how will we scale PicFlow to the rest of the operation in 2026?"