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Forrester: 10 Critical Success Factors for the Age of the Customer

Pete Goldin
APMdigest

According to Forrester, 2016 will prove to be the most consequential year for companies adapting to digitally savvy, empowered customers. Forrester identified the top 10 critical success factors that will determine if companies thrive or fail in the age of the customer.

“Businesses have a lot at stake in 2016. Empowered customers are changing the market fundamentals for virtually every industry, forcing companies to reinvent their strategy and operations,” said Cliff Condon, Chief Research and Product Officer at Forrester. “We are approaching a fork in the road where companies can either make the hard changes to dramatically improve their chances to win in the market or preserve old models and defer transforming their operations at the risk of failure.”

The top 10 critical success factors that will determine who wins and who fails in the age of the customer are:

1. Personalizing the customer experience (CX)

Customers will reward companies that anticipate their individual needs and punish those that have to relearn basic information at each touchpoint.

2. Implementing multidiscipline CX strategies

Companies that transform operations to deliver high-value, personalized experiences will drive a wedge between themselves and laggards just executing CX tactics.

3. Disrupting leadership

CEOs will need to consider significant changes to their leadership teams to win in a customer-led, digital market; CEOs that hang on to leadership structures simply to preserve current power structures will create unnecessary risk.

4. Connecting culture to business success

Those that invest in culture to fuel change will gain significant speed in the market; those that avoid or defer culture investments will lose ground in the market.

5. Operating at the speed of disruptors

Leaders accept that disruption is now normal and will animate their scale, brand, and data while operating at the speed of disruptors; laggards will continue to be surprised and play defense in the market.

6. Evolving loyalty programs

Companies that find ways for customers to participate with their brand and in product design will experience new and powerful levels of affinity; companies that try to optimize existing loyalty programs will see little impact on affinity or revenue.

7. Converting analytics to customer value

Leaders will use analytics as a competitive asset to deliver personalized services across human and digital touchpoints; laggards will drown in big data.

8. Mastering digital

Companies that become experts in digital will further differentiate themselves from those that dabble in a set of digital services that merely decorate their traditional business.

9. Elevating privacy as a differentiator

Leaders will extend privacy from a risk and legal consideration to a position to win customers; companies that relegate privacy as a niche consideration will play defense and face churn risk.

10. Putting in place a customer-obsessed operating model

Companies that shift to customer-obsessed operations will gain sustainable differentiation; those that preserve old ways of doing business will begin the slow process of failing.

Forrester says new market dynamics are in play for 2016 and the gap between customer-obsessed leaders and laggards will widen. The decisions companies make, and how fast they act, will determine if they thrive or fail in the age of the customer.

Pete Goldin is Editor and Publisher of APMdigest

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Forrester: 10 Critical Success Factors for the Age of the Customer

Pete Goldin
APMdigest

According to Forrester, 2016 will prove to be the most consequential year for companies adapting to digitally savvy, empowered customers. Forrester identified the top 10 critical success factors that will determine if companies thrive or fail in the age of the customer.

“Businesses have a lot at stake in 2016. Empowered customers are changing the market fundamentals for virtually every industry, forcing companies to reinvent their strategy and operations,” said Cliff Condon, Chief Research and Product Officer at Forrester. “We are approaching a fork in the road where companies can either make the hard changes to dramatically improve their chances to win in the market or preserve old models and defer transforming their operations at the risk of failure.”

The top 10 critical success factors that will determine who wins and who fails in the age of the customer are:

1. Personalizing the customer experience (CX)

Customers will reward companies that anticipate their individual needs and punish those that have to relearn basic information at each touchpoint.

2. Implementing multidiscipline CX strategies

Companies that transform operations to deliver high-value, personalized experiences will drive a wedge between themselves and laggards just executing CX tactics.

3. Disrupting leadership

CEOs will need to consider significant changes to their leadership teams to win in a customer-led, digital market; CEOs that hang on to leadership structures simply to preserve current power structures will create unnecessary risk.

4. Connecting culture to business success

Those that invest in culture to fuel change will gain significant speed in the market; those that avoid or defer culture investments will lose ground in the market.

5. Operating at the speed of disruptors

Leaders accept that disruption is now normal and will animate their scale, brand, and data while operating at the speed of disruptors; laggards will continue to be surprised and play defense in the market.

6. Evolving loyalty programs

Companies that find ways for customers to participate with their brand and in product design will experience new and powerful levels of affinity; companies that try to optimize existing loyalty programs will see little impact on affinity or revenue.

7. Converting analytics to customer value

Leaders will use analytics as a competitive asset to deliver personalized services across human and digital touchpoints; laggards will drown in big data.

8. Mastering digital

Companies that become experts in digital will further differentiate themselves from those that dabble in a set of digital services that merely decorate their traditional business.

9. Elevating privacy as a differentiator

Leaders will extend privacy from a risk and legal consideration to a position to win customers; companies that relegate privacy as a niche consideration will play defense and face churn risk.

10. Putting in place a customer-obsessed operating model

Companies that shift to customer-obsessed operations will gain sustainable differentiation; those that preserve old ways of doing business will begin the slow process of failing.

Forrester says new market dynamics are in play for 2016 and the gap between customer-obsessed leaders and laggards will widen. The decisions companies make, and how fast they act, will determine if they thrive or fail in the age of the customer.

Pete Goldin is Editor and Publisher of APMdigest

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...