Timothy Bagg
San Diego Metropolitan Area
7K followers
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Activity
7K followers
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Timothy Bagg shared thisWe're extremely excited to share that Dynamic Yield has been named a Leader in Personalization Engines by Gartner for the third time in a row. Free copy of report below: https://lnkd.in/gPbGH8B
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Timothy Bagg shared thisHand-picked to present unique solutions to common business objectives, our Inspiration Library is a first-of-its-kind resource for any marketer crafting a new campaign. https://lnkd.in/gJC2YtiDiscover 140+ personalization examples form real brandsDiscover 140+ personalization examples form real brands
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Timothy Bagg shared thisOur competitors will have you think we're sleeping – in reality, we've been named a Leader in Gartner's Magic Quadrant for Personalization Engines for the second time in a row. Read a complimentary copy of the 2019 report here → https://lnkd.in/gyQquwG
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Timothy Bagg shared thisFollowing a huge year in company growth, Dynamic Yield was just recently named a Leader in Personalization Engines by Gartner! https://lnkd.in/gcfczKtDynamic Yield Named A Leader in Gartner's MQ for PersonalizationDynamic Yield Named A Leader in Gartner's MQ for Personalization
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Timothy Bagg shared thisAnnouncing Dynamic Yield's Template Library: Dozens of out-of-the-box personalization templates! Here's one template that I love: An out-of-the-box weather forecast hero banner! 👇 Use it to promote offers most applicable to each customer's local weather. A multiple-day forecast will further inform them of their required apparel or offers. Find out more here: https://lnkd.in/g6CSnY5
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Timothy Bagg liked thisTimothy Bagg liked thisSoundCommerce's retail analytics platform helps retailers reduce CAC and increase ROAS, LTV and profits. With so much uncertainty clouding the holiday shopping season as inflation takes a toll, financial worries are making the season hard to predict. Learn how SoundCommerce can help. #retailprofits #holidayshopping
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Timothy Bagg liked thisHeads up! We've expanded our Google Cloud partnership at SoundCommerce to help retail brands better model and act on complex transaction and customer data -- without the headaches of scratch-built cloud infrastructure or lift-and-shift data projects. More exciting #SoundCommerce news coming in October! 👀 🧐Timothy Bagg liked thisAs consumers, we expect an "Amazon-like" experience when ordering from any retailer (i.e. free shipping, quick delivery) but the cost for brands to meet those expectations is not only expensive but nearly impossible to implement. Brands are forced to drive customer growth by jumping through hoops and not looking at the overall profitability of their business. Yet active customer growth does not equal profitable growth. Brands deserve to know their customer and build a relationship with them, while always having an eye on the prize - profitability. This is what a data platform can bring them. Find out how SoundCommerce and Google Cloud are doing exactly that. A special thank you to Google Cloud's Sujit Khasnis and SoundCommerce's Carly Zhang for co-writing this great blog! #growth #googlecloud #ecommerce #data #dataplatform #brandsHow SoundCommerce uses Analytics Hub to share data with Retailers | Google Cloud BlogHow SoundCommerce uses Analytics Hub to share data with Retailers | Google Cloud Blog
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Timothy Bagg liked thisTimothy Bagg liked thisAs consumers, we expect an "Amazon-like" experience when ordering from any retailer (i.e. free shipping, quick delivery) but the cost for brands to meet those expectations is not only expensive but nearly impossible to implement. Brands are forced to drive customer growth by jumping through hoops and not looking at the overall profitability of their business. Yet active customer growth does not equal profitable growth. Brands deserve to know their customer and build a relationship with them, while always having an eye on the prize - profitability. This is what a data platform can bring them. Find out how SoundCommerce and Google Cloud are doing exactly that. A special thank you to Google Cloud's Sujit Khasnis and SoundCommerce's Carly Zhang for co-writing this great blog! #growth #googlecloud #ecommerce #data #dataplatform #brandsHow SoundCommerce uses Analytics Hub to share data with Retailers | Google Cloud BlogHow SoundCommerce uses Analytics Hub to share data with Retailers | Google Cloud Blog
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Timothy Bagg liked thisTimothy Bagg liked thisAs a consumer, we expect an "Amazon-like" experience when ordering from any retailer (i.e. free shipping, quick delivery) but the cost for brands to meet those expectations is not only expensive but nearly impossible to implement. Brands are forced to drive customer growth by jumping through hoops and not looking at the overall profitability of their business. Yet active customer growth does not equal profitable growth. Brands deserve to know their customer and build a relationship with them, while always having an eye on the prize - profitability. This is what a data platform can bring them. Find out how SoundCommerce and Google Cloud are doing that here: https://lnkd.in/gYnBY76T A special thank you to Sujit Khasnis for co-writing this blog with me and our broader teams that helped contribute! #growth #googlecloud #ecommerce #dataplatform #brandsHow SoundCommerce uses Analytics Hub to share data with Retailers | Google Cloud BlogHow SoundCommerce uses Analytics Hub to share data with Retailers | Google Cloud Blog
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Timothy Bagg liked thisTimothy Bagg liked thisConnecting great people together is the ultimate “perk” of my job - there’s nothing I love more! Thank you to our friends at Google Cloud and Shopify Plus for co-hosting the LA exec Retail dinner with us and the team at etta for being the ultimate hosts. Amazing vibe, service and food. Loved getting to know all the local LA brands that made it out - shop, support, like, etc - these brands are doing awesome things! 5.11 Tactical Awe Inspired bala Beyond Yoga Eberjey eSalon ettitude FRAME Lunya & Lahgo Marquee Brands PACSUN Richer Poorer Thrive Market True Classic Velvet by Graham & Spencer
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Timothy Bagg liked thisTimothy Bagg liked this"Customer growth does not generally equal profitable growth." – Eric Best, Co-Founder and CEO of SoundCommerce In this Fast Company article, Best addresses how direct-to-consumer (DTC) profitability hinges on customer lifetime value. CLV is a commonly overlooked, misunderstood, and miscalculated business metric. Is your retail brand shifting focus toward new success metrics, like CLV for your marketing and operations analysis? #retaildata #retailtech #retailprofitsDirect-to-consumer (DTC) profitability hinges on one commonly overlooked business metricDirect-to-consumer (DTC) profitability hinges on one commonly overlooked business metric
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Timothy Bagg liked thisTimothy Bagg liked thisSoundCommerce is now even more important for retailers. Today our retail data and analytics platform released predictive Customer Lifetime Value (CLV) models which leverage machine learning algorithms to predict shopper revenue and bottom-line contribution profit for a brand’s marketing and customer engagement campaigns. Connect with us at GROW Retail NY this week to see how SoundCommerce can help your brand optimize for profitability across every area of your business. #retailnews #retailinnovation #dataplatform #retailprofits
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Timothy Bagg liked thisTimothy Bagg liked thisRetailers, do you have a plan for how to prepare for the holidays? SoundCommerce's Holiday Readiness Checklist will help you to prepare for a successful holiday shopping season! #retaildata #retailtech #holiday2022
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Market Wavegen®
5K followers
𝐖𝐡𝐲 𝐒𝐃𝐑𝐬 𝐒𝐡𝐨𝐮𝐥𝐝 𝐓𝐚𝐥𝐤 𝐋𝐞𝐬𝐬 𝐚𝐧𝐝 𝐋𝐢𝐬𝐭𝐞𝐧 𝐌𝐨𝐫𝐞 Most SDR conversations fail for one reason. They are optimized to push, not to understand. When reps lead with scripts, pitches, and premature value props, they miss the most important signal in the room. Buyer intent. 𝐖𝐡𝐚𝐭 𝐋𝐢𝐬𝐭𝐞𝐧𝐢𝐧𝐠 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐔𝐧𝐥𝐨𝐜𝐤𝐬 Clearer problem definition. Better qualification. Stronger handoffs to sales. Listening reveals timing, urgency, and internal dynamics that no talk track can surface. It turns discovery into insight, not interrogation. 𝐓𝐡𝐞 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐒𝐡𝐢𝐟𝐭 𝐓𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 High-performing SDRs do not aim to impress. They aim to learn. They ask fewer questions, pause longer, and let buyers fill the silence. That is where real opportunity shows up. 𝐓𝐡𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲 If your SDR team is measured only on activity, they will keep talking. If they are measured on insight quality, they will start listening. #marketwavegen #SalesDevelopment #B2BSales #RevenueStrategy
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Sales Caddy AI
895 followers
Most AEs spend their days reacting. To leads. To timing. To whatever hits their inbox next. But top performers don’t just react — they *engineer control.* They protect their time. They prepare with intent. They measure what matters. And they stay on the line. Sales Caddy gives you the guardrails to make that discipline repeatable — prompts that drive action, data that reinforces habits, and clarity that compounds. Because revenue doesn’t reward effort. It rewards control. #sales #b2b #revenue #salesleadership #ai #salescaddy #revops #salesprocess #salesperformance #accountexecutive
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Growifyr
109 followers
Your SDR team isn’t underperforming, Your outreach model is. When pipeline slows, leaders assume productivity issues More call blocks, More sequences, More activity targets But manual-first outreach scales effort, not precision The root cause is system fragmentation Lists are static, Messaging is generic, Signal data is disconnected from execution. So reps chase accounts that aren’t buying, while high-intent accounts receive the same templated noise Activity rises, Response quality drops, Pipeline decays quietly. Strategic insight: revenue consistency is driven by systemized signal orchestration — not human persistence When buying-stage data triggers outreach automatically and qualification logic filters engagement before meetings are booked, SDR output becomes leverage, not labor Most teams optimize rep behavior Precision systems optimize signal routing That shift is the difference between forced pipeline and engineered pipeline #B2BSaaS #SalesOperations #RevenueStrategy #OutboundStrategy #RevOps #PipelineEngineering
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Chief
505 followers
“Our average rep hits 50% of quota.” Oof. That's not a rep problem. It's a process problem. If your SaaS sales team's performance is consistently unpredictable, you’re missing real gaps in your ops. Reps manually scoring leads in outdated CRMs. No automation for routing or segmentation. Etc. AI can help, but before you add it to the mix, you need to define 4 things for every sales process: ⭕ Who is responsible for the process ⭕ What tools are used to execute, track, and facilitate the process ⭕ The value the process brings to the organization ⭕ The cost of the process Analyze these details and you can to identify gaps that AI can help close. Performance doesn’t break at the report. It breaks in the workflow. Fix the gaps first. Then AI can do what it’s supposed to: make the system even smarter. ➕ Follow for more insights on using AI in your SaaS ops.
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KickAaaS AI
6 followers
Your SDR team can't scale outbound because personalization breaks at volume. Writing custom emails for 200 prospects weekly is humanly impossible. So reps make a choice: send generic blasts that get 2% response rates, or cherry-pick 30 high-value accounts and leave pipeline on the table. Both options lose. The first trains prospects to ignore you. The second caps your growth at however many personalized touches one human can produce daily. The constraint isn't effort. It's that real personalization requires research, context synthesis, and message adaptation for every single prospect. Most teams can't operationalize that at scale, so they default to templates with merge tags and call it "personalized." Prospects see through it immediately. Enter This Week's Featured Agent: AiSDR AiSDR removes the personalization constraint entirely. It handles prospect research, contextual message writing, response management, and meeting coordination as a complete workflow. The agent researches each prospect across 323+ data sources, including recent LinkedIn activity, company news, job postings, tech stack changes, and funding rounds. It then writes messages that reference specific business context rather than generic pain points. When prospects reply, AiSDR responds within 10 minutes. If someone says "we're focused on other priorities right now," it doesn't mark them closed-lost. It schedules a follow-up for when their roadmap likely shifts. When they ask technical questions, it provides specific answers and moves the conversation toward a demo. When they raise objections, it handles them using your company's playbooks. The agent operates from your actual inbox through Gmail or Outlook integration, learns your messaging patterns through its persona builder, and maintains consistent positioning across every interaction. Your reps stop spending hours on email composition and sequence management. They focus on the conversations AiSDR has already warmed up. This fundamentally changes your outbound economics. The bottleneck shifts from "how many personalized emails can we write" to "how many qualified conversations can we handle." Your pipeline becomes a function of market size and offer strength, not human capacity to research and write. That's the unlock. Most SDR teams are productivity-constrained when they should be market-constrained.
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Lunas Consulting
3K followers
Most SDR dashboards track vanity metrics. Winners track 15 specific indicators that predict success before it happens. Activity volume tells half the story. 50-60 quality dials beat 100 rushed ones. Talk time matters more than dial count. 25-30 personalized emails outperform 40 generic blasts by 3-5x. Research time (60-90 minutes daily) determines relevance. Quality metrics reveal truth. Email reply rates below 3% signal messaging problems. Cold call conversion under 2% means script issues. LinkedIn acceptance below 20% indicates poor targeting. Meeting show rates under 80% expose weak qualification. Efficiency metrics predict scale. Time to first meeting should be under 14 days. Speed kills deals. Touches to meeting (target 6-8) reveals targeting precision. Cost per meeting ($300-600 typical) improves through conversion, not volume. The metric that matters most? Meeting to opportunity conversion. One SDR booking 10 meetings at 30% conversion destroys another booking 20 at 5%. Quality compounds. Volume doesn't. Top performers generate $5M+ pipeline annually versus $3M average. The difference? They optimize the right metrics while others chase activity quotas. Teams measuring systematically see 23% higher meeting rates year-over-year. Those tracking randomly see turnover. Which metric would transform your team's performance? Read our latest blog on the complete SDR playbook here: https://lnkd.in/enETiTbA #SDRMetrics #SalesMetrics #B2BSales #SalesPerformance #RevenueOps
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S2W Media
26K followers
𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗶𝘀𝗻’𝘁 𝘆𝗼𝘂𝗿 𝗦𝗗𝗥 𝘁𝗲𝗮𝗺. 𝗜𝘁’𝘀 𝘆𝗼𝘂𝗿 𝘀𝗶𝗴𝗻𝗮𝗹. In most B2B orgs today, the real challenge isn’t effort or headcount, it's focus. • SDRs spend hours chasing leads that aren't in-market • Personalization often defaults to "Hi {First Name}" • Sales cycles are longer than ever, while buyer engagement is happening behind closed tabs 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁? Wasted touches, burned budget, and pipelines that look full… until the quarter closes. 𝗡𝗼𝘄 𝗹𝗲𝘁’𝘀 𝗿𝗲𝗳𝗿𝗮𝗺𝗲 𝗶𝘁: 𝘄𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗦𝗗𝗥 𝘁𝗲𝗮𝗺 𝗼𝗻𝗹𝘆 𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝘀, 𝗮𝘁 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗺𝗼𝗺𝗲𝗻𝘁, 𝘄𝗶𝘁𝗵 𝗺𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴 𝘁𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝘁𝗼 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝗯𝘂𝘆𝗲𝗿 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗰𝗮𝗿𝗲𝘀 𝗮𝗯𝗼𝘂𝘁? This is where intent data becomes a revenue lever, not just another tool. According to Demand Gen Report: • Companies using intent data see 2.5x conversion rates • Sales cycles shrink by 28% • 68% of marketers say it’s critical for ABM performance At S2W Media, we help marketing leaders solve this with a full-funnel, intent-driven strategy: • 𝗜𝗻𝘁𝗲𝗻𝘁 + 𝗳𝗶𝗿𝘀𝘁-𝗽𝗮𝗿𝘁𝘆 𝗱𝗮𝘁𝗮 𝗳𝘂𝘀𝗶𝗼𝗻, pinpoint buyers already researching your solution or evaluating your competitors • 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗹𝗲𝗮𝗱 𝘀𝗰𝗼𝗿𝗶𝗻𝗴, SDRs focus on verified, high-intent accounts • 𝗛𝘆𝗽𝗲𝗿-𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗼𝘂𝘁𝗿𝗲𝗮𝗰𝗵, informed by real behavioral signals, not assumptions The outcome? Predictable pipeline. Faster velocity. Higher ROI. No more guessing games. No more wasted touches. As marketers, we don’t need "more leads."We need better intelligence to drive a meaningful pipeline. If you're ready to align sales & marketing on who to target, when to engage, and what to say, let’s connect. 𝗥𝗲𝗮𝗱 𝗳𝘂𝗹𝗹 𝗯𝗹𝗼𝗴 𝗵𝗲𝗿𝗲 - https://lnkd.in/dq3Qbvzt
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memoryBlue
52K followers
The SDR money pit is real. And your spreadsheets probably aren’t telling the full story. Hiring in-house SDRs feels like the "safe" bet — until hidden costs, missed ramp targets, and inconsistent pipeline start quietly draining your budget. We built a tool to help revenue leaders uncover the true cost of in-house vs. outsourced sales development — including factors most models overlook: -Ramp time -Management overhead -Lead conversion efficiency -Hidden tech & training costs -Pipeline impact Don’t guess. Calculate it. https://bit.ly/468xLHD #SalesDevelopment #PipelineGrowth #SDRstrategy #CRO #RevOps #OutsourcedSales #memoryBlue #B2Bsales #SalesROI #GoToMarket #RevenueGrowth
10
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Cognism
129K followers
A problem SDRs face all the time... Outbound teams can easily spend 10-15 minutes bouncing between tabs just to get enough info to prepare for their next cold call. So, how do you cut the time and prep for your cold calls in just 15 seconds? It's simple: Let AI handle the prep, not the pitch. AI shouldn’t write your personality. But there's no reason it can't remove the busywork. This video shows exactly how to tackle this problem. Click here for the full play 👉 https://lnkd.in/esh-Pzag #ColdCalling #AI
10
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Momentum Outbound
1K followers
Most companies in competitive markets aren’t losing money because of bad sales teams… They’re losing money because of how long it takes to FIND customers who are ready to buy. And the cost of that delay? Far more damaging than you think. In our latest breakdown, we explain why remote BDR teams are becoming the secret weapon in high-competition industries like Energy, Telecoms & MSPs — and how they drastically reduce acquisition costs without hiring internally. Read the full breakdown here 👇 https://lnkd.in/e_gi65K6
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CallPulseAI
1 follower
Stop losing leads before your team talks Save this if you want SaaS growth without burning hours Most SaaS companies struggle with slow, costly qualification calls that waste SDR time and inflate CAC. The real bottleneck isn’t your sales reps or tools— it’s how you orchestrate workflows and AI voice agents to pre-sell effectively. Here’s how n8n and AI agents can change the game: Trigger: Incoming demo request or product inquiry via CRM Decision: AI voice agent classifies lead intent using NLP Scorer: AI rates lead quality based on CRM data + behavior Executor: AI agent answers FAQs, highlights pricing tiers, and handles objections without human aid Verifier: AI routes only ‘high intent’ leads to SDRs via Slack Integration: Sync seamlessly with Stripe for real-time pricing checks, CRM for lead enrichment, and email for follow-up Real example: We deployed this at a SaaS scale-up easing SDR load by 45%. Demo-qualified leads increased 30%, while CAC dropped 20%. Teams saved 8 hours per week on repetitive calls. Revenue impact? Adding AI voice agents synchronized by n8n workflow shaved three weeks off our sales cycle and boosted NRR by 12% within two quarters. Expert takeaway If your AI agents aren’t automated, they’re just expensive demos. Want to see the exact workflow diagram? DM me to get a step-by-step n8n blueprint tailored for your SaaS stack. How much revenue could you unlock if AI voice agents handled your pre-sales calls flawlessly?
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