Creatives have become the biggest lever on ad platforms. Yet, there is no clear way to figure out WHY something works. You end up guessing and replicating the best performing ad, only to see it fail - high CAC & wasted budget.
Our AI Creative Strategist:
Talk to us if you want to bring structure & intelligence to creative testing.
https://www.youtube.com/watch?v=2h5HhhrUUAM
Picture this.
You finally find a winning creative and you replicate it - make 5 variations. But almost all of them fail - high CAC and wasted $ on production.
Why? Because you didn’t really know WHAT made the ad work!
Creatives have 100s of moving parts and it’s impossible to find patterns manually. So most marketers make an educated guess, which often leads to unpredictability & low hit rate.
Guess what works —> Low hit rate —> Poor CAC + wasted $ on prod
The best marketing teams approach creative testing like an assembly line. We make this process simpler:
Find patterns that you miss:
We go into the depths of every creative - be it an image or a video and break it down into 100s of elements. This is combined with the performance data from your ad account to find what works
Build a winning playbook:
Every brand needs a playbook, a checklist that becomes the guiding principle of creative testing. We help you create this in terms of which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you
Get recommendations on what to launch next:
Based on the patterns found + your brand’s playbook, we come up with a detailed creative brief every week that helps the creative team ship out ads faster than ever
Here are a few examples of questions & hypotheses we answer:
Have an intro chat and figure out if you think it could be a good fit for you.
We are trusted by several Y Combinator startups, large ad agencies in the US with $3B+ spend and brands from a variety of sectors including health and wellness, financial services, jewellery, among others.
Customer-facing Analytics Copilot for SaaS
We have been working full-time on this for the last 18 months and staying together.
February 2022 - June 2022 (5 months) We worked on several ideas in real-money gaming and web3.
July 2022 - January 2023 (7 months) We worked full time on a ‘User Acquisition Tool for Web3 Games’. Raised a pre-seed round, scaled to $10K revenue, and served 10+ games with 100,000 NFT drops
February - May 2023 (4 months) Pivoted away from web3, explored several idea spaces, and saw great opportunity in recent LLM developments
May - August 2023 (3 months) Built Crux - AI Copilot for Analytics for marketers in DTC brands in the US.
August 2023 - present (2 months) Building Crux in its current form.
Problem Statement:- A growth stage SaaS company ($10M - $100M ARR) serving enterprises gets 100-200 ad-hoc requests per account per month to create custom reports, dashboards and provide insights. A pre-configured dashboard rarely solves the problem since the needs of the account are constantly evolving & every user in the account tracks different metrics.
These ad-hoc requests come to the customer success manager, who takes it to an analyst or engineer who fetches data, reconfigures the dashboard, and generates a report which takes 48-72h on average depending on complexity of the query.
Solution:- Crux is an AI Copilot for SaaS companies to provide customized analytics to their enterprise accounts by asking questions in plain English. Crux connects with all data sources, converts English queries to SQL, and generates insights & visualization.
Vision/Roadmap:- We want to help SaaS companies with one thing - enabling their customers to take the right decision quickly & effortlessly. This will be through:
Stage 1: Fetching the data lying in the SaaS via custom reports & dashboards
Stage 2: Proactively generating insights by identifying trends in the data
Stage 3: Being a co-pilot in planning by making predictions & executing tasks