Instamart, India's Leading On-Demand Grocery Delivery Platform from Swiggy, Cut Cost Per Acquisition (CPA) by 51% with Signal Engineering
34%
increase in new Instamart customers
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CUSTOMER STORIES
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See how growth teams around the world use Voyantis to predict customer value and drive growth across acquisition and engagement.
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Featured customer stories
How Credit Genie Grew ARPU by Replacing Conversions with Predictive LTV Signals
10%
increase in ROAS
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How AI App Studio 44pixels Increased ROAS 23% by Predicting Subscriber Value From the First Session
23%
increase in ROAS
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How Semrush Reduced CAC by 17% by Identifying High-Value Users Earlier
21%
increase in pROAS
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ZipRecruiter Uses Predictive Signals to Bring Greater Precision to Employer Acquisition
15%
increase in ROAS, same conversion volume
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How Lennar Spots High-Intent Homebuyers Early with Predictive Value-Based Bidding
40%
lead-to-appointment rate boost
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How Klar Achieved 32% Higher ROAS with Predictive LTV Signals
32%
increase in
ROAS
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Rappi Achieves 30% ROAS Growth and 11% More Repeat Customers
28%
decrease in
CAC
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Latest Customer Stories
Why customers partner with Voyantis
"Predictive LTV is essential for value-based bidding (VBB) – especially for businesses with diverse customer value, long payback periods, or complex lead funnels. Through the Unlocking VBB program, Voyantis partners with teams to generate pLTV signals and set them up for campaign success on Google Ads."
"We had estimated that if we could improve our ROAS by 10% it would be well worth the investment, and a 30% improvement would be fantastic. Our ROAS improvement on Meta & Google well exceeded that fantastic expectation."
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"With Voyantis, we've seen better merchants at lower cost across every campaign, improving both scale and customer quality. Their platform and expertise complement what we've built in-house and deliver results we couldn't get to on our own, turning our first-party data into signals Google can actually learn from."
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"Voyantis is now embedded in our growth motion and their platform is a core part of our tech stack. Their team is in the weeds working with us every week to stay aligned with our business goals, and we look forward to continued partnership as we scale our efforts globally."
"We're a technical team with strong data science practices, but we understood early that this wasn't just about modeling. You need a really strong understanding of how the ad networks actually work, now and as they evolve. We'd rather focus our data science resources on products. Voyantis allows us to stay focused on what we do best while they handle the platform side."
We spent six months developing a model and pushing it into Google, but activating it effectively turned out to be a deeper problem than the modeling itself. Every iteration cycle meant real budget going into an unproven configuration. The question we kept coming back to was whether there was a smarter path forward. Voyantis got us there significantly faster without the cost of continued trial and error, while taking the operational burden off our team.
