demand
Definisjon
Et krav, ønske eller behov for noe.
Synonymer4
Antonymer3
Eksempler på bruk1
Brukes i setninger som 'Kunder har høy etterspørsel etter økologiske produkter.'
Etymologi og opprinnelse
Ordet 'demand' stammer fra middelengelsk 'demauen', som betyr 'å spørre'. Det er relatert til det gamle franske ordet 'demander' og det latinske ordet 'demandare', som betyr 'å beordre'.
Relasjonsmatrise
Utforsk forbindelser og sammenhenger
"ABC-Analyse (Strategic Method of Inventory Management)"
is a key factor considered in
Account based marketing (ABM)
Demand generation and Account Based Marketing (ABM) intersect in their shared goal of driving revenue growth, but they approach this goal through different scopes and tactics that can be strategically integrated. Demand generation focuses on creating broad interest and capturing leads across a wide market, often through scalable digital campaigns, content marketing, and inbound strategies. ABM, on the other hand, zeroes in on high-value target accounts with personalized, multi-channel campaigns designed to engage specific stakeholders within those accounts. The practical relationship lies in how demand generation efforts can feed into ABM by identifying and nurturing early-stage interest and leads that match ideal customer profiles, which ABM then escalates through highly tailored engagement to convert into pipeline and revenue. Conversely, insights from ABM campaigns—such as messaging that resonates with target accounts or key pain points uncovered—can refine demand generation content and targeting to improve lead quality and relevance. In digital strategy, integrating demand generation data (e.g., engagement metrics, intent signals) with ABM platforms enables more precise account selection and personalization at scale. Thus, demand generation acts as a broad top-of-funnel engine that primes the market and surfaces potential accounts, while ABM applies focused, account-specific tactics to accelerate conversion within those accounts, creating a complementary, iterative cycle that enhances overall marketing effectiveness and ROI.
a/b-test
is influenced by
Ad monitoring software
Ad monitoring software provides real-time insights into the performance, placement, and competitive landscape of digital advertisements, enabling marketers to track which ads are generating the most engagement and conversions. This data directly informs demand forecasting and demand generation strategies by revealing consumer responsiveness to different ad creatives, channels, and messaging. By analyzing ad performance metrics such as click-through rates, conversion rates, and audience reach, businesses can identify shifts in consumer demand patterns and adjust their marketing spend and targeting to capitalize on emerging opportunities or suppress underperforming campaigns. Additionally, monitoring competitor ads helps anticipate market demand trends and informs strategic decisions to capture or stimulate demand more effectively. Thus, ad monitoring software acts as a feedback mechanism that aligns advertising efforts with actual and potential demand signals, optimizing marketing ROI and driving more precise demand generation initiatives.
Account executive
An Account Executive (AE) in marketing and business acts as the primary liaison between the client and the internal teams, responsible for understanding and managing client needs, including demand generation and fulfillment. Specifically, the AE plays a critical role in translating market demand signals—such as client requests for new campaigns, product launches, or digital initiatives—into actionable strategies and deliverables. They gather insights on demand trends from clients and prospects, communicate these to marketing and digital strategy teams, and help prioritize resources to meet that demand effectively. Additionally, AEs often collaborate with demand generation teams to align sales efforts with marketing campaigns, ensuring that the demand created through digital strategies is captured and converted into revenue. This relationship is practical and cyclical: demand influences the AE’s client engagement and strategy recommendations, while the AE’s management of client expectations and feedback shapes how demand is addressed and nurtured through marketing and digital channels.
Ad copy
Ad copy directly influences demand by shaping consumer perception, urgency, and motivation to purchase. Well-crafted ad copy leverages psychological triggers such as scarcity, social proof, and clear value propositions to stimulate latent or existing demand for a product or service. In digital strategy, ad copy is optimized through iterative testing (e.g., A/B testing) to identify messaging that most effectively converts interest into action, thereby increasing demand. Moreover, ad copy can create new demand by educating potential customers about unmet needs or innovative solutions, expanding the market size. Conversely, understanding current demand patterns and consumer pain points informs the creation of targeted ad copy that resonates with the audience’s motivations, making the messaging more relevant and compelling. This bidirectional relationship means that ad copy not only responds to demand signals but also actively shapes and amplifies demand through strategic communication.
Ad format
Demand in marketing and business represents the consumer's desire and willingness to purchase a product or service, which directly informs the selection and optimization of ad formats in digital strategy. Specifically, understanding demand patterns—such as peak interest periods, demographic preferences, and product-specific urgency—guides marketers to choose ad formats that effectively capture attention and drive conversions. For example, high demand for a trending product might prompt the use of immersive, high-impact ad formats like video or interactive ads to capitalize on consumer interest and maximize engagement. Conversely, for products with steady but lower demand, simpler formats such as native ads or sponsored content may be more cost-effective and sufficient to maintain visibility. Additionally, demand data influences how ad formats are tailored in terms of messaging length, call-to-action prominence, and placement to align with consumer intent and buying readiness. This strategic alignment ensures that the chosen ad format not only reaches the right audience but also resonates with their current demand state, thereby improving ROI and campaign effectiveness.
a/b-testing
Demand in marketing and business refers to the level of consumer interest or desire for a product or service, which directly influences sales volume and revenue potential. A/B testing is a methodical approach to optimizing marketing elements—such as messaging, pricing, product features, or user experience—by comparing two or more variants to identify which better drives desired outcomes. The relationship between demand and A/B testing is that A/B testing enables businesses to experimentally uncover which specific changes in their marketing or product strategies most effectively stimulate or capture demand. For example, by testing different value propositions, call-to-action buttons, or pricing tiers, companies can identify which variants increase conversion rates or purchase intent, thereby directly influencing demand generation. This iterative experimentation helps reduce uncertainty around consumer preferences and demand elasticity, allowing businesses to tailor their offerings and marketing tactics to maximize demand. Essentially, A/B testing acts as a feedback mechanism to validate hypotheses about what drives demand, making demand optimization a data-driven process rather than guesswork.
Ad creative
Demand represents the consumer desire and willingness to purchase a product or service, which directly informs the strategic development of Ad creative. Effective Ad creative must be tailored to the current demand signals—such as trending needs, pain points, or emerging preferences—to capture attention and convert interest into action. For example, when demand for a new technology product surges, ad creatives that highlight unique features, solve specific problems, or tap into the urgency of that demand will perform better. Conversely, well-crafted Ad creative can stimulate latent or unmet demand by educating audiences, creating emotional appeal, or differentiating the offering, thus influencing demand itself. In digital strategy, real-time data on demand patterns (via search trends, social listening, or sales data) guides iterative optimization of Ad creative, ensuring messaging remains relevant and compelling. Therefore, demand insights shape the content, tone, and call-to-action of Ad creative, while Ad creative execution impacts the magnitude and quality of demand generated or captured.
ad exchange
In digital marketing and advertising, "demand" specifically refers to the pool of advertisers seeking to purchase ad inventory to reach target audiences. An "ad exchange" is a technology platform that facilitates the real-time buying and selling of this ad inventory through automated auctions. The relationship between demand and ad exchange is foundational and operational: advertisers (demand-side participants) use demand-side platforms (DSPs) connected to ad exchanges to bid on impressions that match their targeting criteria. The ad exchange aggregates supply from multiple publishers and matches it with the highest demand bids in real time, optimizing ad placement efficiency and pricing. Without demand from advertisers, the ad exchange cannot function effectively because there would be no buyers for the available inventory. Conversely, demand relies on ad exchanges to access a broad, diverse set of inventory programmatically and at scale. This dynamic enables precise targeting, budget optimization, and performance-driven buying strategies, making the ad exchange the critical marketplace infrastructure that directly connects advertiser demand with publisher supply.
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