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Online Retailers Should Prepare for "Mother's Me Week"

SOASTA Warns 40% of Moms Have Been Disappointed On Mother's Day
Ann Ruckstuhl

The “Mother's Me Week” Study discovered that 40 percent of US moms have been disappointed on Mother’s Day, and half of American moms would buy themselves a gift if they were disappointed on Mother’s Day, with nearly 1 in 5 doing so on Mother’s Day (16%), 14 percent the Monday after, and 14 percent the week after.

SOASTA commissioned the online research, conducted by Harris Poll, to alert retailers about the need for continuous testing and performance analytics for their online stores to ensure a quality user experience – whether it’s for key shopping events like Mother’s Day or new emerging shopping trends like Mother’s Me Week.

Over 1 in 10 American moms (12 percent) said problems with gifts caused them to be disappointed with Mother’s Day, including:

· I had to buy my own gift - 5 percent

· I could tell the gift was bought at the last minute – 5 percent

· Gift wasn’t thoughtful – 5 percent

· Gift was something I needed instead of something I wanted - 3 percent

Moms listed other reasons they were disappointed for Mother’s Day, including: “I wasn’t recognized at all” (12 percent); I had to do housework (10 percent); Spouse/partner only cared about their own mom not me (9 percent); kids didn’t acknowledge it properly (9 percent); the attention felt forced/obligatory (8 percent); Mother’s Day didn’t last the whole day – just a few minutes (7 percent); and family fights (5 percent).

Nearly one in two moms (45 percent) said they would buy something online immediately to improve their mood if they were disappointed on Mother’s Day, including: shoes (13 percent); tickets to a movie/theater/concert (13 percent); massage appointment (12 percent); jewelry (12 percent); purse (10 percent); going out clothes (10 percent); and makeup (10 percent). The choices with the least interest were “better husband” (4 percent) and “better children” (2 percent).

“We’re hoping both families and stores take our Mother’s Day warning to heart,” said Tom Lounibos, CEO, SOASTA. “Everyone should make Mother’s Day special. If families don’t do their part, then stores need to ensure that disappointed moms can count on a quality retail therapy experience that only comes with continuous testing and performance analytics.”

Survey Methodology: This survey was conducted online within the United States by Harris Poll on behalf of SOASTA from April 27 - 29, 2015 among 680 American moms ages 18 and older. This online survey is not based on a probability sample and therefore no estimate of theoretical sampling error can be calculated.

Ann Ruckstuhl is CMO of SOASTA.

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Online Retailers Should Prepare for "Mother's Me Week"

SOASTA Warns 40% of Moms Have Been Disappointed On Mother's Day
Ann Ruckstuhl

The “Mother's Me Week” Study discovered that 40 percent of US moms have been disappointed on Mother’s Day, and half of American moms would buy themselves a gift if they were disappointed on Mother’s Day, with nearly 1 in 5 doing so on Mother’s Day (16%), 14 percent the Monday after, and 14 percent the week after.

SOASTA commissioned the online research, conducted by Harris Poll, to alert retailers about the need for continuous testing and performance analytics for their online stores to ensure a quality user experience – whether it’s for key shopping events like Mother’s Day or new emerging shopping trends like Mother’s Me Week.

Over 1 in 10 American moms (12 percent) said problems with gifts caused them to be disappointed with Mother’s Day, including:

· I had to buy my own gift - 5 percent

· I could tell the gift was bought at the last minute – 5 percent

· Gift wasn’t thoughtful – 5 percent

· Gift was something I needed instead of something I wanted - 3 percent

Moms listed other reasons they were disappointed for Mother’s Day, including: “I wasn’t recognized at all” (12 percent); I had to do housework (10 percent); Spouse/partner only cared about their own mom not me (9 percent); kids didn’t acknowledge it properly (9 percent); the attention felt forced/obligatory (8 percent); Mother’s Day didn’t last the whole day – just a few minutes (7 percent); and family fights (5 percent).

Nearly one in two moms (45 percent) said they would buy something online immediately to improve their mood if they were disappointed on Mother’s Day, including: shoes (13 percent); tickets to a movie/theater/concert (13 percent); massage appointment (12 percent); jewelry (12 percent); purse (10 percent); going out clothes (10 percent); and makeup (10 percent). The choices with the least interest were “better husband” (4 percent) and “better children” (2 percent).

“We’re hoping both families and stores take our Mother’s Day warning to heart,” said Tom Lounibos, CEO, SOASTA. “Everyone should make Mother’s Day special. If families don’t do their part, then stores need to ensure that disappointed moms can count on a quality retail therapy experience that only comes with continuous testing and performance analytics.”

Survey Methodology: This survey was conducted online within the United States by Harris Poll on behalf of SOASTA from April 27 - 29, 2015 among 680 American moms ages 18 and older. This online survey is not based on a probability sample and therefore no estimate of theoretical sampling error can be calculated.

Ann Ruckstuhl is CMO of SOASTA.

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For decades, traditional observability tools have forced IT professionals to sift through endless dashboards, turning a flood of alerts into actionable insight and driving widespread burnout. While enterprises adopted AI to eliminate this friction, most still deploy it reactively rather than proactively ... As systems become more complex and IT moves to the center of business strategy, a reactive posture is unsustainable ...

Ask an operations team what they monitor and you will hear a familiar list: latency, errors, throughput, uptime. Those signals still matter for AI, but they no longer answer the most important question. As Krishna Sai, CTO of SolarWinds, puts it: "Traditional observability tells you a system is running. AI observability tells you whether it's still reasoning soundly. Those are completely different questions" ...

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

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