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Marketing Expert, Sedrick Sparks, Explains How Small Businesses Can Use AI to Cut Marketing Costs and Reach the Right Customers

Published

5 months ago

on

Canton, Michigan, 20th January 2026, ZEX PR WIRE, Sedrick Sparks, a Los Angeles-based marketing consultant with extensive experience leading both local and multinational marketing initiatives, has seen firsthand how small businesses can stretch limited marketing budgets without sacrificing impact. Drawing on his years of guiding companies through complex marketing challenges, Sparks is now sharing practical, actionable strategies for using artificial intelligence (AI) to reduce marketing costs while reaching the right customers.

Start with Clear Goals and Metrics

Sparks emphasizes that small businesses must first define clear objectives. Whether the goal is increasing sales, generating leads, or boosting engagement, businesses need measurable outcomes to guide AI implementation. “AI can only optimize what you can measure,” Sparks says. “Start by knowing what success looks like and identify the key metrics to track.”

Automate Repetitive Marketing Tasks

One of the simplest ways AI saves money is through automation. Sparks advises small businesses to use AI to handle tasks such as email campaigns, social media posting, and ad placement. Tools can schedule content, segment audiences automatically, and adjust messaging based on performance. By automating these processes, small teams can focus on strategy rather than manual execution.

Use AI for Audience Targeting and Segmentation

Targeting the right audience is critical for cost-effective marketing. Sedrick Sparks recommends using AI platforms that analyze customer behavior, purchase history, and online engagement. These systems can identify which prospects are most likely to respond to specific offers. Businesses can then deliver personalized messages to different segments without the cost of manual analysis. “You can reach the right people with the right message without spending extra on trial-and-error campaigns,” Sparks explains.

Optimize Advertising Spend in Real Time

AI tools can also optimize ad budgets in real time. Sparks suggests setting up platforms that adjust bids, pause underperforming ads, and allocate more funding to high-performing channels. This ensures that businesses spend only on campaigns that deliver results. Small businesses can see significant savings because AI reduces wasted impressions and unnecessary spending.

Leverage Predictive Analytics for Planning

Predictive analytics allows businesses to anticipate customer behavior. Sparks recommends using AI to forecast trends and plan campaigns in advance. By understanding what products or services customers are likely to buy and when, businesses can focus marketing efforts on high-value opportunities. “Predictive analytics turns guesswork into informed decisions, saving both time and money,” Sparks notes.

Test, Learn, and Refine Campaigns

Sedrick Sparks stresses that AI is most effective when combined with continuous testing. Small businesses should run pilot campaigns, analyze the results, and refine strategies based on performance data. AI platforms make it easy to test multiple variables simultaneously, such as different messages, visuals, and offers. This approach improves efficiency and ensures each campaign is more targeted than the last.

Keep Human Oversight

While AI automates many tasks, Sparks warns against relying solely on algorithms. “Human insight is essential for interpreting data and making strategic decisions,” he says. Teams should monitor AI outputs, validate results, and adjust strategies as needed. The combination of intelligent automation and human judgment delivers the best results.

Practical Implementation Steps

Sparks recommends a step-by-step approach. Start by integrating AI into one aspect of marketing, such as email automation. Next, expand into audience segmentation and predictive analytics. Finally, optimize ad spend and cross-channel campaigns. Small businesses should select tools that are scalable and easy to use, ensuring they can grow capabilities without increasing complexity.

Looking Ahead

According to Sparks, small businesses that implement AI thoughtfully can compete more effectively against larger competitors. “AI gives small businesses the ability to reach the right audience efficiently and creatively,” he says. “It’s not about replacing humans. It’s about enabling teams to focus on strategy, creativity, and relationships while AI handles the repetitive, data-heavy work.”

About Sedrick Sparks

Sedrick Sparks operates a marketing consultancy in Los Angeles, helping companies develop strategic marketing plans, build strong brands, and implement actionable go-to-market strategies. He is also dedicated to mentoring emerging marketers and supporting initiatives that expand access to education for underprivileged children worldwide.

To learn more visit: https://sedricksparks.com

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Press Release

Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents

Published

27 minutes ago

on

June 25, 2026

By

British Virgin Islands, BVI, June 2026, ZEX PR WIRE– Dataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.  

  

As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.  

A Unified Data Layer for Agent Economies

Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.  

Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators. 

This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.  

From Data Access to Decision Infrastructure

The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.  

Dataline’s system is designed to solve this by providing the following:  

  • Cross-venue data normalization across trading and prediction markets

  • Confidence-scored outputs with divergence detection between sources

  • Structured responses optimized for planner–executor–verifier agent loops

  • Real-time aggregation of market signals and event data

Already Powering Live Agent Systems

Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.  

Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.

Launch Partners Across AI and Execution Layers

The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.  

These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.  

Exclusive Offer for Base Builders

To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.  

Accelerating the Shift Toward Agent-Native Financial Infrastructure

As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.  

As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.  

Become a Dataline Launch Partner

Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.  

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Cloud PR Wire

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents

Published

27 minutes ago

on

June 25, 2026

By

British Virgin Islands, BVI, June 2026, ZEX PR WIRE– Dataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.  

  

As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.  

A Unified Data Layer for Agent Economies

Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.  

Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators. 

This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.  

From Data Access to Decision Infrastructure

The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.  

Dataline’s system is designed to solve this by providing the following:  

  • Cross-venue data normalization across trading and prediction markets

  • Confidence-scored outputs with divergence detection between sources

  • Structured responses optimized for planner–executor–verifier agent loops

  • Real-time aggregation of market signals and event data

Already Powering Live Agent Systems

Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.  

Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.

Launch Partners Across AI and Execution Layers

The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.  

These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.  

Exclusive Offer for Base Builders

To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.  

Accelerating the Shift Toward Agent-Native Financial Infrastructure

As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.  

As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.  

Become a Dataline Launch Partner

Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.  

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Cloud PR Wire

See author's posts

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Request Network Introduces One-Click Cross-Chain Mass Payouts and Expands Wallet Screening With Merkle Science

Published

27 minutes ago

on

June 25, 2026

By

Zug, Switzerland, June 25th, 2026, Chainwire

Anyone can now execute mass payouts across EVM chains and Tron from a single platform and can choose between multiple wallet screening providers.

Just three weeks after releasing major upgrades for crypto payment collection, the Request Network Foundation today announced another expansion of its stablecoin payment platform. The release introduces one-click mass payouts on both EVM and Tron, alongside built-in bridging and token swapping across EVM chains. The update also expands compliance capabilities through the integration of Merkle Science as an additional wallet screening provider.

Together, these capabilities reinforce Request Network’s vision of providing businesses with a simpler, more scalable, and more resilient way to operate stablecoin payments globally.

Users Can Now Disburse at Scale in One Click From a Single Wallet Without Bridging or Swapping

Stablecoins are already widely used to disburse salaries, commissions, affiliate rewards, bug bounties, supplier payments, and customer refunds or withdrawals across the world. While settlements are now faster and cheaper in stablecoins compared to fiat, the operational processes needed to send funds remain complex as recipients usually require payments on multiple chains and in multiple currencies. This has forced finance teams to initiate multiple transactions in separate currencies and from multiple wallets.

Request Network now abstracts away this fragmentation, allowing anyone to initiate mass payouts from a single wallet in a single currency to pay recipients across the top 6 EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon, and BNB Chain) in USDC and USDT.

Through a single signature, a mass payout can now be initiated even if the individual transactions need to be bridged and swapped to reach their recipient. Request Network protocol automatically retrieves and batches bridge and swap quotes in order to funnel every payment of a batch to its correct destination in just one approval.

To simplify the process further, Request Network also allows any recipient to set and update their payment preferences so payments are always routed to where they should go.

This represents one of the biggest breakthroughs in cross-chain and swapping abstraction, bringing payers and recipients closer than ever before, regardless of the blockchain or currency they trust.

Mass Payouts Now Available on Tron

Alongside EVM mass payouts, Request Network also announced the support of mass payouts on Tron, becoming the first protocol to combine both capabilities.

Thanks to this release, anyone can now send USDT to multiple recipients on Tron in a single transaction, unlocking large-scale payouts on one of the most used chains in Asia, Africa, Eastern Europe, and Latin America.

With this release, anyone can now manage all stablecoin payouts globally from the Request Network protocol.

More Choice for Wallet Screening

Alongside mass payouts, Request Network also announced a partnership with Merkle Science to offer additional wallet screening providers on the protocol.

As a reminder, Request Network offers built-in wallet screening to protect its users from high-risk wallet interactions. When enabled, this feature allows payments to be executed only if the payer or recipient satisfies the preset screening policies, helping businesses to avoid exposure to high-risk wallets which may lead to asset freezing or difficulties off-ramping to fiat.

By expanding its integration of Merkle Science, Request Network just became one of the safest ways to receive crypto onchain, while accommodating for recipients’ preferences.

Tristan Wallaert, CEO of the Request Network Foundation, said: “Stablecoins allowed money to move globally without the usual fiat constraints, but executing payments at scale remains a bottleneck and is forcing users to rely on payment service providers. Anyone should be able to pay by himself hundreds of payments across chains in just a single operation.High risk wallets exposure has tarnished the crypto reputation recently, if we want to provide the best protection to blockchain users they need to be able to use the best screening providers. Sending and receiving payments must become intuitive and safe if we want stablecoins to be a real alternative to fiat.”

Mriganka Pattnaik, CEO of Merkle Science, said: “As stablecoin payments become more global and cross-chain, compliance needs to become just as seamless as the payment experience itself. Our integration with Request Network helps businesses screen wallets with greater confidence, reduce exposure to high-risk activity, and scale onchain payments without compromising trust or operational efficiency”.

About Request Network

Since 2017, Request Network has developed, educated about, and promoted the use of open-source, decentralized and permissionless protocols that provide infrastructure for on-chain payments and related financial flows.

Request Network allows anyone to send and receive crypto at scale, across chains, without custodial intermediaries. The protocol is developed by a community-funded foundation whose mission is to make crypto payments accessible while protecting its participants.

To date, more than $2 billion has moved thanks to Request Network technology.

Press kit

About Merkle Science

Merkle Science provides blockchain analytics and crypto compliance solutions that help businesses detect, investigate, and prevent financial crime across digital assets. Its platform supports wallet screening, transaction monitoring, risk intelligence, and investigations, enabling crypto platforms, financial institutions, and payment providers to manage onchain risk and meet compliance requirements at scale.

Contacts

CEO
Tristan Wallaert
Request Network Foundation
press@request.network
Director of Business Operations
Álvaro García
alvaro.garcia@merklescience.com

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Cloud PR Wire

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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