Product analytics lead on Faire's Search Experience team focused on helping users narrow down and evaluate product supply as well as streamline order building / order completion. Responsibilities include

conducting both longer-term understand analyses and short-term experiment decompositions, owning experimentation end-to-end, and owning the metrics ecosystem to measure the team's progress against goals and ensure the health of key product surfaces.

• Analyzed search engagement data to opportunity size investing in improved search UX on the brand page (catalog page used by retailers to build orders with brands). Identified that over ⅓ of searches led to no results, translating to +2% GMV opportunity. Presented findings to pillar leads and PM stakeholders which led to the prioritization of brand page search improvements on the product roadmap for H2 2024.

• Drove experimentation end-to-end which included working with engineers to optimize experiment set-up and unblocking ship decisions by identifying key mechanisms driving metric movement. Resulted in 20+ XPs run in H1 2024 and shipping renaming tabs & new product tile features that led to +0.7% GMV lift.

• Analyzed test results for key pillar initiative of launching a new “Trending” badge in search. Findings showed that the “Trending” badge decreased conversion for previously badged impressions and for impressions ineligible for badges, suggesting opportunity to optimize badge priority and overall badged impression density. Led to prioritization of badging consolidation test and iterating on stack-rank badge priority in Q2 2024.

Data analyst dedicated towards enabling sales/customer success teams to increase member engagement & retention through long-term understand analyses, quantifying impact of key sales/CS motions, and driving cross-functional experimentation. Specific projects:

• Owned first-ever analyses of existing Enterprise member segment to understand key levers to member engagement. Findings were leveraged in email outreach targeting strategy that resulted in +250

QEMs (~$50k ARR) and to prioritize GTM focus on expansion within existing enterprise customers in 2023.

• Identified and ideated mural creation as a key lever to increase engagement among members. Collaborated cross-functionally with product to prioritize, design, and A/B test an in-canvas create mural CTA and owned experiment set-up and analysis. Experiment resulted in +6% increase in mural creation and helped inform strategy around canvas re-design.

• Established experimentation process for in-product messaging by launching Mural’s first navigational onboarding experience in Pendo. Resulted in directional +15% increase in 1W retention and was shipped broadly to all members.

Growth lead of Meta’s identity creation and management product across the family of apps. Drives data-informed product development through roadmap opportunity sizing, experimentation support, A/B test analysis, metric curation/definition, and long-term understand work. Key projects include:

• Created the initial growth roadmap consisting of 20+ projects for Meta’s new identity creation/management product that has driven +300mil opt-ins in 2021 (+165% YoY). Analysis included A/B test evaluation, funnel breakdown, and opportunity sizing in-product promotional upsells on different surfaces. Presented roadmap to org leadership and collaborated cross-functionally with PMs, designers, and engineers to execute (prioritize, scope, build, test) on roadmap.

• Investigated key metric regressions in A/B tests using experimentation tools and custom SQL analyses to guide key stakeholders on product iterations. Unblocked multiple feature launches that resulted in +46mil opt-ins (26% of 2021 goals).

• Identified potential risk of losing +30% of all Identity Sync users from new product requirements that would remove optionality of syncing different profile fields in 2022. Influenced leadership to prioritize working on transition strategy over new user growth. Analysis involved segmentation of current users based on their relevant profile values across FB and IG.

• Built data case for pilot of transitioning Thumbtack from pay-as-you-go leads to autocharged leads; analysis included evaluation of an A/B test, nodeling short-term and long-term revenue tradeoffs, and setting operational goals for the go-to-market teams

• Evaluated impact of key initiatives of Search (transitioning to “free text” search, search UI improvements, etc.) on revenue and core product metrics to enable team prioritization and resourcing

• Enabled ordering of search autosuggestions and search results based on search keyword to category relevance by applying TF-IDF to create relevance weights between keywords and local services categories

• Expanded visibility into search behavior for over 100,000+ daily search visitors by constructing the first search queries data table that allowed teams to examine what users were typing as well as the conversion metrics tied to each search