How does INCRMNTAL measure effectiveness
The root of our technology is your operational marketing changes. We built a fully automated change log, detecting any changes you've made to your marketing activities, across all channels.
The platform treats your operational marketing adjustments as micro-experiments. Allowing you to measure any marketing activity, as well as any real-world event that causes an impact on your metrics. This approach allows you to measure incrementality while keeping campaigns and channels running.
The platform uses causal data science and anomaly detection to identify marketing changes. This aggregated data is measured against your marketing KPIs to determine how effective each campaign is at hitting targets.
Incremental measurement without user-level data
Our platform was built for a privacy-first world without the need for any user level data. Matching a single click to an action was never enough, and now with user level data becoming unattainable, the paradigm for measurement has changed.
Our approach eliminates the need for any user-level data as the model uses the advertiser's shared KPIs against aggregated data. And through activity detection runs micro-experiments without having to pause campaigns or split audiences. The best thing is that it allows you to run cross-platform marketing measurements for all channels and campaigns - down to the level of bid changes.
No user-level data required to unlock value.
No engineering work: No Code and No SDK
Measure what you want to measure and improve your strategy.
Utilizing conversational AI, the platform measures and creates actionable insights revealing efficiencies.
Most advertisers don’t want to spend less but rather get the most value out of their marketing spend.
Continuous measurement without the need for experimentation or pausing campaigns.
Before making any decisions we conducted rigorous validation tests over INCRMNTAL. We compared the platform to our own analysis, 3rd party solutions, and we even challenged the platform by onboarding fake spend data. The platform passed every test we ran it through. Measuring each and every campaign across all mediums and platforms, we learned that the incremental value of our mobile campaigns was far greater than some of our web campaigns - even though attribution reporting showed us a completely different picture. We changed our budget allocation amongst platforms thanks to insights we received and were able to validate.
It sometimes takes just one measurement to show why incrementality measurement is a better way to make decisions about testing new channels, scaling spend up or down. While attribution only reports based on a user-match, incrementality looks at the true impact. We've been using INCRMNTAL for our established and soft launched games, measuring value, rather than only counting impressions and clicks.
Autonomous takes all the guesswork out of marketing measurement and saves us considerable time in evaluating the success of our marketing activities as it does the work for us. As a result of using Autonomous, we’ve been able to measure the true incremental value of our campaigns. The dashboard enables us to see precisely where our spend is generating revenue for the business and where it’s not, so we can optimize our budget to the greatest effect
The INCRMNTAL platform provided bi-weekly insights about the incrementality of operational marketing changes - from launching a new channel, to small changes in the bids, which helped us onboard faster and start getting value from day one. We have been able to implement operational and strategic marketing changes that have helped us increase our gross profit by 20%
Seasonality and external factors have a strong effect on rider's behavior. Understanding the impact of external factors on acquisition metrics is key for better-informed decisions about marketing investment. Using INCRMNTAL we were able to get insights about the incremental impact that a holiday like New Year's Eve had on our metrics. This year we will be validating and bringing those insights to action in our ads budgeting strategy.
INCRMNTAL goes beyond the paradigm of user level attribution. It attributes the value we got from all our marketing activities. We can identify campaigns and channels that have little to no, actual incremental value (i.e. cannibalization). As well as the campaigns and channels that contribute to substantial incremental value. Doing so, allows us to allocate our budgets based on where we’re getting the most value.
With INCRMNTAL we were able to measure the incremental impact of our influencer campaigns over our marketing, without having to pause any campaigns. We used this data to assess the performance of our influencers and it helped us make strategic decisions to extend or terminate collaboration.
When evaluating a new platform or tool, one of the primary concerns is always the resources required for integration. INCRMNTAL, however, addressed this issue admirably. The integration process was remarkably swift, taking just a few minutes, and it demanded no engineering resources. In stark contrast to solutions that necessitate SDK integration, INCRMNTAL's integration was seamlessly managed through its self-service user interface. This allowed us to get insights about the incrementality of campaigns which started months ago within minutes!
Measuring incrementality has always been important for us, as incrementality measures the true value of our marketing activities. INCRMNTAL got it right. The INCRMNTAL platform allows us to measure the actual value of our campaigns, while taking seasonality into consideration in every measurement. INCRMNTAL also allows us to measure and understand cross channel influence across all of our activities, including TV, influencers, and more.
We had been told it was impossible to measure OOH campaigns. let alone understand their performance at different times of the year. INCRMNTAL debunked that myth. Using INCRMNTAL we measured our OOH campaigns from billboards and busses at public transport stations across Sweden. Beyond measuring the campaigns, we were able to develop and understand cohorts. These insights allowed us to plan our future OOH campaigns.