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Bryan House
Chief Experience Officer at Elastic Path
Bryan House is a seasoned product and go-to-market executive, with a track record of success in building and leading companies from pre-revenue stages to over $170M in ARR.
With a strong focus on venture-backed startups, Bryan has crafted and implemented initial product and go-to-market strategies, as well as spearheaded scale-out initiatives during periods of rapid growth for recurring revenue businesses.
His expertise lies in aligning business models with technical innovation to drive accelerated growth.
Bryan House has garnered significant experience in fundraising, having secured millions in venture capital, and has actively collaborated with boards of directors to shape strategic directions for various businesses.
As a seasoned leader in product development and customer success, Bryan values deep customer empathy, understanding the challenges they face in solving complex business problems.
He believes that successful organizations prioritize listening, foster a culture of empathy and customer advocacy, and are committed to relentless problem-solving to ensure customers derive the anticipated value from their investments.
Highlights
Digital transformation spending is expected to reach $3.9 trillion by 2027, but 70% of these projects fail, particularly those involving complex legacy systems like ERP.
In our travels, we find merchants often struggle with heavily customized, outdated systems, fearing disruption or failure if they attempt re-platforming. This inertia, driven by fear, results in stagnation or worse, do nothing.
Instead of drastic measures, a gradual, stepwise approach to modernizing systems can disrupt the status quo and allow for testing new ideas without extensive development timelines.
Learn more about how to adopt a gradual digital transformation approach to ensure project success and accelerate time to value.
Elastic Path #digitalcommerce #composablecommerce #apifirst #mach
As Google is gradually integrating AI overviews into search results, we are beginning to understand how this will impact #ecommerce web strategies.
A common #merchandiser job to be done is to optimize SEO. Whereas with AI search results, generative AI-powered summaries instead of traditional links - impacting expected ecommerce traffic and resulting conversions.
Despite early inaccuracies, experts believe these summaries will significantly impact search rankings. Gartner predicts a 25% drop in traditional search engine volume by 2026, with AI chatbots taking the lead. SEO experts have noted that AI overviews currently affect 16% of #commerce searches and 13% of total search volume.
#Retailers are advised to optimize product detail pages with structured data, high-quality images, and reviews to enhance their visibility in AI-driven search results. Tools like Elastic Path #ProductExperienceManager and #Studio offer built-in SEO features to simplify this process.
#genAI #digitalcommerce #apifirst
