McDonald

(QSR, Thailand)

This case study showcases SoMin's collaboration with McDonald's Thailand to overhaul their advertising strategy during the Songkran Festival using AI-driven marketing. Analyzing over 12 million social media posts and using omni-sourced user profiling, SoMin devised highly targeted campaigns that significantly enhanced performance. The campaign yielded a 438% increase in reach, an 85% reduction in cost per mille (CPM), a fivefold improvement in click-through rates (CTR), and a sixfold increase in return on ad spend (RoAS). This demonstrates AI's capacity to significantly enhance marketing efficiency, scalability, and outcomes in competitive environments.

M1

(Teleco, Singapore)

This case study demonstrates how SoMin, an AI-driven platform, assisted M1, a Singapore-based telecom, in optimizing its digital marketing. Using long-tail interest targeting instead of traditional look-alike audiences, SoMin utilized machine learning to parse social data and create highly targeted ads, significantly cutting costs. During a pilot from December 2021 to January 2022, M1 achieved an 18% reduction in cost per SIM card purchase and a 24% decrease in cost per mobile plan order. The success illustrates AI's capability to understand audience behavior, automate campaign optimization, and offer actionable insights for strategic marketing decisions.

Reassured

(Insurance, United Kingdom)

This case study outlines a pilot campaign by SoMin for Reassured, a UK-based life insurance comparison service, from November 2022 to February 2023. Conducted on Meta platforms, the campaign utilized AI for audience targeting and optimization, leading to a 21% improvement in cost per lead (CPL) and generating 648 leads over 51 days. The campaign scaled significantly, with a 2.26x increase in leads by February. SoMin analyzed over 1 million audiences and 6.3 million data points to identify high-performing audience clusters and refine targeting strategies based on psychographics and personality traits, showcasing AI's role in enhancing digital advertising efficiency.

PepsiCo Agusha

(Baby Nutrition, OMD)

This SOMIN.ai case study assesses AI-driven campaigns for PepsiCo Agusha, in collaboration with OMD, compared to traditional methods from February 2019 to December 2020. The AI campaigns delivered superior results, achieving a 22% lower cost per reach, 7% more reach, 62% more impressions, 30% more clicks, and 25% more post engagements, while spending 16% less than traditional campaigns. Although click-through rates (CTR) were similar, the AI approach demonstrated greater efficiency and effectiveness in key metrics, showcasing AI's potential to optimize digital marketing strategies for improved reach and engagement at reduced costs.

Slovac Telekom

(Telco, Slovakia)

This case study highlights a pilot campaign by SoMin for Slovac Telecom, focusing on promoting postpaid mobile plans through Google Display and Search ads from February to March 2023. With a specific budget target and a KPI of cost per result (CPR) below a set threshold, the campaign outperformed expectations: achieving a 31% better CPR at 0.69X, quadrupling conversions, and nearly doubling budget pacing. By March, the campaign secured 40 conversions at a CPR of 0.57X, showcasing SoMin's AI-driven optimization's success in boosting campaign performance and cost efficiency.

P&G Downy

(FMCG, Philippines)

This case study showcases SoMin's collaboration with P&G Philippines in marketing Downy ANTIBAC using AI-driven media buying strategies in October 2022. By employing SoMin's long-tail auction bidding, the campaign outperformed Mediacom’s traditional reach and frequency strategy, achieving a 14% reduction in cost per thousand impressions (CPM), a 43% increase in audience engagements, and enhanced reach and click-through rates (CTR). Through analyzing over 243,000 accounts and 1.1 million posts, SoMin’s AI optimized targeting, improving audience quality and engagement.

P&G HnS

(FMCG, Philippines)

This case study highlights SoMin's effective collaboration with P&G Philippines to promote Head & Shoulders through AI-driven long-tail auction bidding from October to November 2022. The campaign vastly outperformed Mediacom’s traditional buying strategies, achieving 17.9x higher ad volume and 3.55x greater reach, with an audience of 36.5 million despite a 14% rise in CPM. Utilizing AI, SoMin analyzed over 243,000 accounts and 1.1 million posts to enhance targeting and campaign efficiency. This approach demonstrated AI's ability to scale digital advertising significantly and counteract ad fatigue in the competitive Philippine market.

Huawei

(Electronics, Russia)

This case study showcases the collaboration between Huawei and SoMin.ai in optimizing e-commerce audience targeting through AI-driven strategies. SoMin.ai identified 360 effective audience categories, vastly surpassing traditional methods that identified only 10. The AI campaigns generated 2.38x more revenue, achieved a 31% better return on ad spend (ROAS), and spent 1.8x more efficiently than traditional methods. The use of long-tail and dynamic targeting by SoMin.ai also increased the conversion value per purchase by 13.4% while reducing the cost per purchase by 13.3% providing significant cost efficiency improvement for Huawei.

B2B Campaigns

(Openbank & Acronis)

This SOMIN case study evaluates B2B campaigns for Openbank and Acronis, focusing on insights from artificial intelligence. Openbank's campaigns on Facebook and Google demonstrated significant gains in impressions, click-through rates (CTR), and cost per click (CPC). For Acronis, data showed older males (35-64 years) were more responsive and likely to convert than other demographics. Psychographic analysis advised tailoring content: emotionally engaging narratives for feminine audiences and highlighting cognitive benefits for masculine audiences. The study also recommended cost-effective strategies for Acronis, like avoiding low-performing segments and targeting responsive groups such as Arsenal FC fans, to enhance campaign effectiveness.

Sport Master

(Sports Retailer, Russia)

This SOMIN.ai case study, in collaboration with ICOM Agency, assesses AI-driven campaigns for SportMaster, noting marked improvements over traditional targeting. SOMIN.ai pinpointed 345 effective audience groups, vastly outperforming the 86 identified by conventional methods, leading to 47% more app installs at a 4.2x lower cost per install. The analysis found higher conversion rates among feminine audiences, attributable to emotionally engaging creatives. Recommendations include unifying creative strategies across the marketing funnel to resonate with feminine psychographics, using emotional storytelling, and creating content that appeals to both masculine and feminine traits, enhancing campaign performance and ROI.

Versatile Collective

(Luxury, Singapore)

This case study by SOMIN.ai highlights how AI enhanced influencer-led campaigns for Versatile Collective (VC), which refurbishes and sells second-hand branded goods. Traditional influencer campaigns often focus solely on reach and creativity, but SOMIN.ai incorporated influencer data into a comprehensive marketing strategy. By analyzing VC’s digital presence and influencer content, relevant keywords and topics were identified for Google ad campaigns. This strategy was employed across all marketing stages, including YouTube and Universal App Campaigns (UAC). This AI-driven approach boosted campaign efficiency significantly.