Tilda Publishing
Fashion trends
analytics and
forecasts platform
analytics and
forecasts platform
Unique AI-powered solution to
enhance new collections creating
process.
Driven by data of over 500 000
Instagram posts.
enhance new collections creating
process.
Driven by data of over 500 000
Instagram posts.
We love fashion
We value the uniqueness of each brand
We appreciate your desire to understand your customers
We value the uniqueness of each brand
We appreciate your desire to understand your customers
We love fashion
We value the uniqueness of each brand
We appreciate your desire to understand your customers
We offer new ideas to expand your business
We work hard every day to make our clients happy
Do you have any questions?
We offer individual consulting services on the use of our platform.
We offer individual consulting services on the use of our platform.
How it works
- Enter the platform by clicking on "Login" or "Get started for free"
- Sign up
- Choose a category and timeframe
Find out the latest trends within your target group based on their region and preferences
Add a photo of your design or preferred clothes for analysis
Compare and view statistics of your design's current and projected popularity
Our cases
We are a young but fast-growing midrange brand of comfortable and casual women's clothing. (more...)
In the four years we have been on the market, we have doubled the company's turnover and sales volume and created a unique mass-market brand. During this time, we have developed the company, team, and segment to the maximum while meeting all the requirements of our target group.
As the next step in the company's growth, we decided to create an exclusive premium line, as consumer assessment revealed an influx of more affluent customers.
We wanted the first collection to meet all the needs of the new consumers while maintaining the authenticity and style of the brand. Looking for a quick and high-quality solution, we turned to GFAIVE.
Our task was to combine and analyse data from our existing customers and prospects in the premium segment. To perform the analysis, we uploaded the links to our Instagram account and the accounts of stylistically similar premium brands to GFAIVE. Based on the data obtained, we selected trends in the target categories and compiled a set of fifteen unique models, none of which had an analogue on the market. Using the platform, we also checked which of the models had more chances of success.
As a result, the new premium collection was in high demand and sold out within two weeks, with more pre-orders placed. The new line brought us 25% new customers in the premium segment in those two weeks.
Now we use the platform weekly and plan to continue using the service specifically to create collections in the premium segment. They are produced in fast fashion mode, and with GFAIVE we are always up to date with our customers' wishes to within a week.
Frank, CEO
As the next step in the company's growth, we decided to create an exclusive premium line, as consumer assessment revealed an influx of more affluent customers.
We wanted the first collection to meet all the needs of the new consumers while maintaining the authenticity and style of the brand. Looking for a quick and high-quality solution, we turned to GFAIVE.
Our task was to combine and analyse data from our existing customers and prospects in the premium segment. To perform the analysis, we uploaded the links to our Instagram account and the accounts of stylistically similar premium brands to GFAIVE. Based on the data obtained, we selected trends in the target categories and compiled a set of fifteen unique models, none of which had an analogue on the market. Using the platform, we also checked which of the models had more chances of success.
As a result, the new premium collection was in high demand and sold out within two weeks, with more pre-orders placed. The new line brought us 25% new customers in the premium segment in those two weeks.
Now we use the platform weekly and plan to continue using the service specifically to create collections in the premium segment. They are produced in fast fashion mode, and with GFAIVE we are always up to date with our customers' wishes to within a week.
Frank, CEO
I'm the head designer of a niche streetwear brand Grange. We were hit hard by the Covid restrictions, which led to a decreased interest in streetwear and high demand for comfortable loungewear. (more...)
In 2020/2021, we reduced our overall production by 46%, keeping only the base clothing collection.
In 2022, we faced a very ambitious task: to return to the changed market without any experience in the new realities. Although we had never designed loungewear capsules before, coming back with our usual range would have been an obvious failure.
We started by studying our competition, especially brands specialising in cosy and comfortable clothing. Trying to apply the findings to ourselves, we designed the first capsules for spring-summer 2022, which expanded our range by 23%. But at a closer look, we saw that the new range didn't fit the brand's DNA. That made us realise how important it was to consider the preferences of our target audience when launching a new range.
So we began looking for marketing research on the subject. However, the existing articles were too generic and not relevant in regard to our target audience. Conducting our own research would cost us at least £ 6,000 and, most importantly, would take about a month, which was not an option in our situation.
This is when we discovered the GFAIVE platform. After testing out a basic version, which provides analytics for a selected region, we connected our Instagram account to the extended version, which offers analytics specifically for our company. It's very easy to use, you just select a category and the desired timeframe and get the trends you are interested in. With the help of this service, we were able to immediately answer our primary question: what should comfortable clothing look like, according to our subscribers, i.e. our customers and prospects?
Since the service doesn't limit the number of queries, we started to analyse trends for almost every new model, as well as check their commercial potential. To predict the popularity of a model, it’s enough to upload several versions of a future product and select a category. The service immediately delivers a result. This is an extremely important feature for us as we didn’t have such a range before and there was nothing to compare it with.
With the help of GFAIVE, we were able to expand our product range by 32% in the following capsules (April-May). We have thus achieved the following figures for the entire spring-summer 2022 range:
We have already used the service to create mood boards and analyse trends for the new autumn-winter 2022 collections, and we believe we will achieve the same or even better results.
Rodrigo, Designer
In 2022, we faced a very ambitious task: to return to the changed market without any experience in the new realities. Although we had never designed loungewear capsules before, coming back with our usual range would have been an obvious failure.
We started by studying our competition, especially brands specialising in cosy and comfortable clothing. Trying to apply the findings to ourselves, we designed the first capsules for spring-summer 2022, which expanded our range by 23%. But at a closer look, we saw that the new range didn't fit the brand's DNA. That made us realise how important it was to consider the preferences of our target audience when launching a new range.
So we began looking for marketing research on the subject. However, the existing articles were too generic and not relevant in regard to our target audience. Conducting our own research would cost us at least £ 6,000 and, most importantly, would take about a month, which was not an option in our situation.
This is when we discovered the GFAIVE platform. After testing out a basic version, which provides analytics for a selected region, we connected our Instagram account to the extended version, which offers analytics specifically for our company. It's very easy to use, you just select a category and the desired timeframe and get the trends you are interested in. With the help of this service, we were able to immediately answer our primary question: what should comfortable clothing look like, according to our subscribers, i.e. our customers and prospects?
Since the service doesn't limit the number of queries, we started to analyse trends for almost every new model, as well as check their commercial potential. To predict the popularity of a model, it’s enough to upload several versions of a future product and select a category. The service immediately delivers a result. This is an extremely important feature for us as we didn’t have such a range before and there was nothing to compare it with.
With the help of GFAIVE, we were able to expand our product range by 32% in the following capsules (April-May). We have thus achieved the following figures for the entire spring-summer 2022 range:
- The comfy capsule accounted for 33% of sales, with a 29% share of purchases.
- The comfy capsules April-May were 93% sold out (this is our standard pre-covid sales figure).
- The comfy capsules February-March were 84% sold out.
We have already used the service to create mood boards and analyse trends for the new autumn-winter 2022 collections, and we believe we will achieve the same or even better results.
Rodrigo, Designer
Pricing
19 £
monthly
+ 7 day free trial
No credit card required
+ 7 day free trial
No credit card required
Contact us
GFAIVE UK LTD
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