
Tactical AI empowers partners to make real-time tactical decisions to cut costs and optimize revenue.
Our novel AI backed approach functions to capture the highest quality, most relevant and predictively accurate first party data; to produce Tactical Intelligence.
Our Tactical AI is superior to incumbents in 3 dimensions:
Quality, Speed and Price.
AI-backed Mechanism Design ensures we capture the highest quality, most relevant and predictively accurate first-party data from the right subset of targeted users', while preventing them from “gaming the system.”
We capture and operationalize our Tactical Intelligence in "real-time" at scale, reaching a panel of 300M+ users' globally.
Our novel AI backed approach enables us to capture better unit economics than incumbents, that we can in turn translate to our partners.
We collect and operationalize data into Tactical Intelligence and accurately predict consumer behavior and consumption.
Our proprietary trained models (Scoring and Predictive) produce tactical analytics that are both Descriptive (interpretable) and Prescriptive (actionable).
We work with partners to define unique decision problems and provide novel technical solutions to produce measurable results that impact top and bottom line; i.e. - optimize revenue, cut costs.
We have the ability to ingest first party partner data and third party consumption data to build custom models for our partners.
A fun, interactive and rewarding user experience.
Our platform rewards users for quality responses and swiftly detects attempted manipulations and adversarial attacks.
Gamified mechanics provide seamless data collection in real time, at scale.
Our partners tell us: “VolKno is better and faster and provides superior unit economics than any and all incumbents.”
Our capabilities extend a wide range of partner applications, from individual creators/brands, to SMB's and large Fortune 500 corporations across multiple verticals.
We identify key interest drivers/deterrents to consumption, segment audiences, measure engagement, awareness and intent, and predict social sentiment, velocity, consumption and other market trends.
• Explore the Story and Plot
• Brand & Creators
• Product Features & Presentation
• Characters & Acting
• Themes & Motifs
• Subject Matter & Messaging
• Pace & Tempo
• Visual Style & Cinematography
• Special Effects & CGI
• Music & Editing
• Demographics (age, gender, ethnicity, income, education, parental status, marital status, etc.)
• Psychographics (interests, affinities, favorites, attitudes, opinions, lifestyle, values, loyalty, etc.)
• Emotional Reactions (to products, content, messaging, brands, etc.)
• Behavioral Patterns (interactions, views, plays, likes, shares, sentiment, purchases, consumption, etc.)
Forecast:
• Usage
• Purchases
• Demand
• Consumption
• Subscribers
• Viewership
• CPV / CPC
• Platform preference
• Social sentiment
• Velocity
• Views, likes, shares
• Listens, plays, spins
• Downloads
• Conversions
• Revenue / ROI
Categorize into:
• Lovers (fans / super fans)
• Casuals (on the fence / opportunity to convert)
• Haters (don’t waste time + money trying to convert)
Measure:
• Attention
• Awareness
• Affinity
• Sentiment
• Price sensitivity/elasticity
• Intent to view, consume, listen, purchase, vote
• Advertising/Marketing impact & effectiveness
• Creative Elements (advertising & marketing, content messaging, format & length)
• Distribution (platform, audience, & library synergy)
• Partnerships (brands, influencers, merchandise)
• Conversion (super fans, fans, casuals)
• Content Portfolio & Platform Synergy (licensing & branding opportunities)
• Pricing (sensitivity, elasticity, purchases, ROI)
• Ad Spend & Media Buys
• Audience Targeting
Our SDK integrates with partner platforms to get feedback directly from your audiences wherever they may be.
VolKno partnered with a leading CPG company on the launch of a new non-toxic bug repellent. Their goal was to evaluate and optimize their creative marketing content, identify and target the right consumer segments with the right marketing content, optimize their ad spend/media buys and drive more omni-channel purchases/sales of this product, online and offline.
VolKno tested 5 video ads and 8 pieces of key art with a sample of 1329 respondents on the VolKno platform. Custom profiling was executed to identify emotional, behavioral demographic and psychographic attributes of consumers’ who were best positioned to purchase a bug repellant in the next 3 months and were willing to pay a premium for a non toxic repellent.
We identified the 2 top performing creative/video assets and 3 key art that were best positioned to drive conversions/purchases and the top audiences primed for conversion; parents < 47 with children < 13 and pet owners; who live in the northeast and midwest and make $55K+ annually. Other detailed targeting parameters were identified and leveraged to optimize ad spend/media buys and drive purchases to several major online retailers/e-commerce sites, resulting in a net 138% increase in sales of this product across Amazon.com, Target.com and Walmart.com, as compared to the previous product launch of the same brand, executed 6 months prior.
VolKno partnered with a leading influencer marketing company on the launch of a new influencer marketing campaign for a QSR brand with 100 retail locations. The goal was to identify the top influencers/creators best positioned to drive awareness and sales for the restaurant on its launch of several new menu items being released and promoted for the summer. The QSR restaurant offered a bonus to the influencer marketing company and the respective influencer, if any of the content released went viral, resulting in 10M+ impressions/views.
VolKno initially tested a total of 33 short form videos from a sample of 8 influencers provided by the influencer marketing company. Of the 8 influencers/creators, we identified the top 3 best aligned with the QSR company’s brand and their target audience. The top 3 creators were required to create 5 pieces of original content each for the brand, with specific parameters designated by the QSR brand. Once complete, we tested all 15 pieces of content on the VolKno platform, with a curated panel of respondents that matched detailed targeting parameters provided by the QSR brand from their CRM data. We leveraged a custom predictive model to predict social sentiment and velocity to TikTok, to better understand what people would think and say about the content prior to release so the influencers/creators could tweak any messaging if necessary and better position their content for success. We identified one video out of the 15 that we predicted would do between 9-12M views on TikTok, hitting the bonus requirement for the influencer, their agency and the QSR brand.
The video we predicted would do 9-12M views on TikTok, generated 11.2M views, hitting the bonus quota. The campaign was highly successful generating a total of 117.3M+ views across TikTok, Instagram and YouTube. Awareness for the new product offering increased 21.5% pre and post launch, from 42.3% to 63.8% and Q3 sales rose by 17.2%.
A leading studio partner came to us to build a predictive model to viewership, season momentum and decay, so they could better understand how their content would perform prior to release and when to cancel shows +/or increase marketing spend.
Latent Semantic Analysis (LSA) was applied to a curated set of Gracenote content tags, iMDB plot keywords and genres relevant to each title and used to generate embeddings for each title. Title embeddings were clustered with a hierarchical agglomerative approach. Nielsen viewership data was used to identify top performing titles by platform. Titles were analyzed by cluster, performance, social and VolKno user data to identify common attributes that contribute to success / failure and identify macro concepts and trends.
Model yielded 84.2% predictive accuracy to Nielsen viewership data. VolKno user response data increased predictive accuracy by over 20%.