Pipeline Generation: How to Build a Predictable B2B Sales Pipeline in 2026

Table of Contents
Hire an SDR

Major Takeaways: Pipeline Generation

What is pipeline generation?
  • Pipeline generation is the process of creating and qualifying sales opportunities with a defined value, stage, and expected close date. It spans marketing, sales development, and account executives, and it converts raw interest into revenue you can forecast.

How is pipeline generation different from lead generation?
  • Lead generation produces contacts who have shown interest. Pipeline generation turns a subset of those contacts into qualified opportunities your team is actively working, which is why the two need separate goals and separate metrics.

How much pipeline do you need to hit quota?
  • A 3-4x pipeline coverage ratio is the traditional baseline, but with average B2B win rates falling to 19% in the Ebsta x Pavilion 2025 GTM Benchmarks, many teams now need closer to 5x coverage to hit their number.

Who owns pipeline generation?
  • Ownership is shared across marketing, SDRs, and account executives, and the split breaks down more often than leaders admit. Forrester’s 2024 research found 82% of C-level executives believe their sales and marketing teams are aligned, while 65% of practitioners report the opposite.

Do B2B buyers still want sales outreach?
  • Yes, but on their terms. Gartner’s research found 67% of B2B buyers prefer a rep-free experience for early research, yet 69% still turn to sales reps to validate AI-generated insights before they decide.

Which channels generate the most pipeline?
  • No single channel wins on its own. McKinsey’s Global B2B Pulse found buyers now use an average of ten channels across the purchasing journey and expect to move between them without friction.

Does thought leadership actually build pipeline?
  • It does, especially with stakeholders you never meet. In the 2025 Edelman-LinkedIn B2B Thought Leadership Impact Report, 95% of hidden buyers said strong thought leadership makes them more receptive to sales outreach.

Introduction

Your quota went up, your buyers went quiet, and the outbound playbook that filled your calendar two years ago now produces single-digit reply rates. If that describes your quarter, the problem usually is not effort. It is that pipeline generation has changed faster than most teams’ process for doing it.

This guide covers the full picture: what pipeline generation means, how it differs from lead generation, how much pipeline you actually need, who should own the number, and seven tactics that still get overlooked. As a B2B lead generation and sales outsourcing agency ranked #1 in Lead Generation on Clutch, we build pipeline for clients across 50+ verticals, and the B2B lead generation strategies that hold up in 2026 look different from the ones that worked even two years ago. We will show you what changed and what to do about it, with current data and worked examples throughout.

Pipeline Generation at a Glance

  1. Pipeline generation is the process of sourcing, qualifying, and progressing sales opportunities until they carry a value, a stage, and an expected close date.
  2. It sits downstream of demand generation and lead generation: demand creates awareness, leads capture interest, and pipeline turns interest into deals your team can forecast.
  3. Most B2B teams need at least 3-4x pipeline coverage against quota, and falling win rates push that requirement higher.
  4. The highest-leverage tactics in 2026 combine buyer intent signals, omnichannel outreach, AI-assisted personalization, and content that reaches stakeholders you never meet.
  5. Pipeline generation works as a shared number across marketing, SDRs, and account executives, with clear qualification criteria and a fast handoff between teams.

What’s New in 2026

  • AI is now the front door to buyer research. G2’s research found that 51% of B2B software buyers start their purchasing process in an AI chatbot rather than a traditional search engine.
  • Buyers self-direct more of the journey. In Gartner’s survey findings, 67% of B2B buyers said they prefer a rep-free experience, and 45% used AI during a recent purchase.
  • Omnichannel is assumed, not a differentiator. McKinsey’s Global B2B Pulse, drawing on nearly 4,000 decision-makers across 13 countries, found buyers use an average of ten channels and switch suppliers over inconsistent experiences.
  • Win rates dropped, so coverage requirements rose. The Ebsta x Pavilion 2025 GTM Benchmarks, built on 655,000 opportunities, recorded average B2B win rates falling to 19%, down from 29% the year before.

Key Terms, Defined

  • Pipeline generation is the process of creating and qualifying sales opportunities that your team is actively working toward a close.
  • Sales pipeline is the set of open opportunities in your CRM, organized by stage from first qualification to signed deal.
  • Pipeline coverage ratio is the total value of open pipeline divided by your revenue target for the same period.
  • Pipeline velocity is a measure of how quickly pipeline converts to revenue, calculated from opportunity count, deal size, win rate, and sales cycle length.
  • Sales qualified lead (SQL) is a lead vetted by sales as having the authority and need to buy, ready for active selling.
  • Intent data is behavioral information showing that an account is actively researching a problem or solution category.

What Is Pipeline Generation?

Pipeline generation is the process of finding potential buyers, qualifying them, and converting them into sales opportunities with a defined value, stage, and expected close date. It covers everything between “this account might be a fit” and “this deal is in our forecast,” which makes it the connective layer between marketing activity and closed revenue.

What counts as pipeline?

An opportunity counts as pipeline once it clears your qualification bar, not before. In practice that means a confirmed fit with your ideal customer profile, a real problem your product solves, engagement from someone with authority and need, and a next step both sides agreed to. A downloaded whitepaper is a lead. A discovery call on the calendar with a director who described their problem is pipeline. Keeping that line strict is what makes your sales pipeline forecastable instead of decorative.

Why pipeline generation is harder in 2026

Buyers now do most of their research before you ever hear from them. A Gartner survey of 646 B2B buyers found that 67% prefer a rep-free experience and 45% used AI during a recent purchase. Your prospects are forming shortlists in private, which means passive inbound alone leaves you out of deals you never knew existed.

There is a tradeoff worth naming: self-directed buying does not mean buyers want zero contact. It means they ignore irrelevant contact. The teams generating pipeline in this environment are the ones showing up early, with context, in the channels buyers already use. The rest of this guide is about how to do that deliberately.

Pipeline Generation vs. Lead Generation vs. Demand Generation

Pipeline generation, lead generation, and demand generation are three stages of one revenue engine, not interchangeable labels. Demand generation creates awareness in your market. Lead generation captures interest as contacts. Pipeline generation qualifies and progresses that interest into opportunities with real dollar values attached.

Sales and marketing leaders in Reddit and community discussions regularly ask where lead generation ends and pipeline generation begins, usually because their teams are measured on one and blamed for the other. The cleanest way to draw the line is by output:

Demand generation

Awareness and engagement in your target market

Engaged accounts, branded search

Marketing

Lead generation

Contacts who expressed interest

MQLs, cost per lead

Marketing, SDRs

Pipeline generation

Qualified opportunities with value and close dates

Pipeline dollars created, SQLs

Shared: marketing, SDRs, AEs

For a deeper comparison of the first two stages, see our guide to demand generation vs lead generation.

The nuance most teams miss is the handoff. Lead generation can hit its targets while pipeline starves, because volume without qualification produces contacts nobody can sell to. If your funnel is full at the top and empty in the middle, the fix is rarely more leads. It is a tighter definition of what earns a spot in the pipeline, and a faster, more accountable handoff into active selling.

How to Build a Pipeline Generation Strategy

A pipeline generation strategy is a documented system that defines who you target, how much pipeline you need, which channels you use, what qualifies a deal, and how often you inspect the results. Teams that skip the document and rely on instinct build pipeline in bursts, which is exactly the pattern that produces panicked quarters. Build yours in five steps.

  1. Define your ideal customer profile in writing. Specify industry, company size, region, the roles who buy, and the problems that trigger a purchase. Every downstream decision, from list building to messaging, inherits its quality from this step, so pressure-test the profile against your last ten closed-won deals rather than your aspirations.
  2. Set pipeline targets from your own math. Work backward from revenue: divide your target by your historical win rate to get the pipeline you must create, then divide by average deal size to get the opportunity count. Assign that number across sources, with explicit contributions from marketing, SDR outbound, and AE self-sourcing, so no portion of the target is unowned.
  3. Choose a channel mix you can actually sustain. Start with the two or three channels where your buyers already engage, typically email, phone, and LinkedIn for most B2B markets, and coordinate them as sequences rather than parallel silos. The Gartner research cited earlier shows buyers doing most of their research alone, so include at least one mechanism for capturing intent signals alongside your outbound.
  4. Write the qualification criteria before the first campaign. Define what earns MQL status, what elevates a lead to SQL, and who makes the call, using authority and need as the bar. Agree on the handoff: how fast a qualified lead gets a human response, and what happens to leads that are a fit but not ready.
  5. Set the inspection cadence. Review pipeline created by source weekly, coverage and velocity monthly, and the strategy itself quarterly. The quarterly review is where you kill underperforming channels and reallocate, which is the discipline separating strategies from wish lists.

A practical note on sequencing: resist the urge to launch all channels at once. Prove one sequence end to end, from first touch to booked meeting, then add the next channel to a motion that already works. And revisit step one more often than feels necessary, because ICPs drift as your product and market change, and a six-month-old profile quietly degrades every campaign built on it.

How to Generate Pipeline: 7 Tactics B2B Teams Still Overlook

The fastest way to generate more pipeline is usually not adding volume. It is layering tactics that most competitors skip: intent signals, coordinated channels, AI-assisted personalization, authority-building content, referrals, communities, and a genuinely shared number between sales and marketing. Each tactic below includes the evidence and a concrete way to apply it this quarter.

1. Prioritize accounts showing buyer intent

Intent signals tell you which accounts are researching problems you solve right now, so your team spends its time on buyers who are already moving. That matters more as research goes private: the same Gartner survey cited above shows buyers self-directing early research, which means the accounts raising their hands represent a fraction of the accounts actually in-market.

Here is what that looks like in practice. A cybersecurity vendor notices, through an intent platform or its own website analytics, that several mid-size healthcare companies are repeatedly consuming content about cloud security for hospitals. None of them contacted sales. The vendor reaches out with a healthcare-specific case study and an offer to compare notes on protecting patient data, and it becomes the first vendor in the door.

You do not need an expensive platform to start. Treat your own first-party signals as intent: repeat website visits, pricing page views, webinar attendance, and engagement with your posts. Feed those signals into your lead scoring model so reps get alerted while interest is warm, and prepare content that matches the topics trending in each account.

Know the difference between your two signal types. First-party intent comes from your own properties, such as site visits and content engagement, and it is free, accurate, and limited to accounts already aware of you. Third-party intent comes from external providers monitoring research activity across the wider web, and it surfaces accounts that have never touched your brand. Start with first-party signals, and add a third-party source once your team reliably acts on the signals it already has.

One caution: intent data deals in probabilities, not certainties. A surge in research activity might be a student project or a competitor’s analyst. Use intent to prioritize your outreach, never to skip qualification.

2. Run omnichannel sequences instead of single-channel blasts

If your outreach lives in one channel, you are invisible to most of your market most of the time. McKinsey’s Global B2B Pulse, based on nearly 4,000 decision-makers in 13 countries, found buyers now use an average of ten channels across the purchasing journey and expect to switch between them without losing context.

A workable two-week cadence looks like this: a short personalized email on day one, a LinkedIn connection note on day three referencing that email, a call with a voicemail on day five, a second email carrying a relevant case study on day seven, and a LinkedIn follow-up plus a final call the following week. Each touch adds something new. By the third touch the prospect recognizes your name, which is when responses typically start.

Phone deserves special mention because so many teams abandoned it. A well-timed call after a prospect engages with your content converts attention into conversation faster than any channel, which is exactly why our cold calling services run inside omnichannel sequences rather than standalone. In our own campaigns, prospects frequently engage on the second or third channel touched after ignoring the first.

This is the approach behind one of our event-industry engagements: over a nine-month omnichannel campaign combining email, LinkedIn, and phone outreach, Afton Tickets generated 320 MQLs and 97 SQLs, closed 5 deals, and saw a single closed deal cover the entire cost of the campaign.

The tradeoff is coordination overhead. Track every touch in your CRM, keep the core message consistent while adapting tone per channel, and cap frequency so persistence never reads as spam.

3. Use AI to personalize at scale, and humans to close

AI’s job in pipeline generation is to make every touch more relevant and every rep faster, not to replace the conversation. Gartner’s survey findings make the division of labor clear: buyers research with AI, but 69% turn to sales reps to validate AI-generated insights, and buyers were far more likely to credit a rep than a chatbot with helping them advance a purchase.

Put AI where the grunt work lives. Use it to compile a prospect dossier before the first touch: role, recent posts, company news, and likely pain points. Use it to draft first-pass emails tailored by industry and persona, which a rep then reviews, sharpens, and sends. Use automation to guarantee follow-through, so an engaged lead gets a same-day response and a structured sequence instead of falling through the cracks. Our AI sales platform was built around exactly this pattern: machines handle research, drafting, and timing, while people handle judgment and conversations.

Review everything before it ships. One awkward AI-generated line that misreads a prospect’s situation costs more trust than the automation saved in time. And keep the long view in mind: Gartner projects that by 2030, 75% of B2B buyers will prefer sales experiences that prioritize human interaction over AI. Teams that treat AI as an amplifier for human sellers, rather than a substitute, are building for where buying is heading.

4. Build authority with educational content

Educational content generates pipeline you cannot see forming: it reaches the stakeholders who never take your calls but influence the deal anyway. In the 2025 Edelman-LinkedIn B2B Thought Leadership Impact Report, 95% of hidden buyers, the finance, procurement, and operations voices inside buying groups, said strong thought leadership makes them more receptive to sales outreach, and 64% trust it more than marketing materials when assessing a vendor’s competence.

The mechanic is simple to describe and slow to fake. A director of IT researching security improvements downloads a genuinely useful trends report, attends a webinar on implementing Zero Trust solutions in complex environments, and reads two blog posts that answer real questions. When your rep follows up, the conversation starts from earned credibility instead of a cold pitch.

Map content to the questions your buyers ask at each stage: broad educational guides early, specific case studies mid-funnel, and ROI-focused material late. Publish on a consistent cadence, because a single whitepaper builds nothing. And keep the selling subtle: a soft invitation to a consultation at the end of a genuinely useful piece outperforms a piece that was a pitch all along.

The honest caveat is time. Content compounds over quarters, not weeks, so run it alongside your outbound motion rather than instead of it.

5. Systematize referrals and partnerships

Referred pipeline converts faster because it arrives with borrowed trust, yet most teams treat referrals as luck instead of process. The same Edelman-LinkedIn 2025 research found that 79% of hidden buyers are more likely to advocate for a vendor’s proposal during the RFP process when that vendor consistently produces high-quality thought leadership, which is peer advocacy you can deliberately earn.

Build the customer side first. Ask for introductions at high points: after a successful implementation, a strong quarterly review, or a positive survey response. Make referring effortless by drafting the intro message yourself and naming the two or three specific connections you would value. A modest incentive, a service credit or a charity donation per booked meeting, keeps the behavior alive, and a personal thank-you keeps the relationship warm.

Then add partnerships. The best partners serve your audience with complementary offerings: a compliance consultancy and a security software vendor, for example, can pass each other qualified opportunities all year. Keep it fair by tracking partner-sourced pipeline in your CRM and reciprocating visibly, because one-way referral relationships die quietly.

Do not over-formalize on day one. A simple agreement, a shared definition of a qualified intro, and a quarterly check-in outperform a heavyweight partner program nobody maintains.

6. Show up in the communities where buyers compare notes

B2B buyers increasingly trust peers over vendors, which makes communities a pipeline channel most teams still ignore. G2’s Buyer Behavior Report found public review sites had become the most consulted information source when planning a purchase, cited by 31% of buyers and rising year over year, with independent peer forums and communities close behind. And when AI research conflicts with a trusted brand, G2’s research shows 24% of buyers turn to peer reviews as their next step.

Participation beats promotion. One MSP executive we watched join a private founders’ Slack group never pitched. He answered IT budgeting questions and shared a network security checklist, and inbound inquiries followed within months. A rep at the same firm answered technical questions on an industry subreddit and landed a customer from a direct message. In both cases the pipeline came from being visibly useful where buyers already gather.

On LinkedIn specifically, comment with substance on prospects’ posts, share what you are learning from real campaigns, and connect with a note that references the conversation, which is the same motion our LinkedIn lead generation programs run at scale. Respect each community’s norms: many prohibit promotion outright, and a moderator ban costs you the channel permanently. Measure this work by conversations started and by leads who mention where they found you, not by impressions.

7. Align sales and marketing around one pipeline number

Misalignment quietly drains more pipeline than any competitor. Forrester’s Q2 2024 Sales and Marketing Alignment Survey found that 65% of sales and marketing professionals experience a lack of alignment between their leaders, even while 82% of C-level executives believe their teams are aligned. That perception gap is where leads leak.

Closing it takes four practical moves. Agree on shared definitions, so an MQL and an SQL mean the same thing in both departments. Set a response SLA, with hot leads contacted within an hour and every marketing-qualified lead touched within an agreed window. Plan campaigns together, so sales knows what content is landing and can reference it in outreach the same week. And review the pipeline together weekly, connecting each open opportunity back to the campaigns and conversations that created it. Investing in techniques to improve team collaboration pays for itself here, because the process only works when both teams actually run it.

The deeper fix is shared accountability. When marketing is graded only on lead volume and sales only on closed revenue, the middle of the funnel belongs to nobody. Give both teams a stake in pipeline dollars created and the finger-pointing turns into problem-solving.

Pipeline Generation Tools: What Your Stack Actually Needs

You need five tool categories to run pipeline generation well, and the categories matter more than the brand names: a system of record, an outreach engine, a signal layer, clean data, and reporting you trust. Most stacks fail from gaps or overlaps between categories, not from choosing the wrong vendor within one.

CRM and pipeline tracking

Holds every opportunity, stage, and next step; the single source of truth for coverage math

Enforced required fields, stage definitions your team follows, source attribution

Sales engagement

Runs sequenced email, call, and LinkedIn touches with tracking

Omnichannel sequencing, reply detection, CRM sync without manual entry

Intent and signals

Flags accounts researching your category before they contact you

First-party site tracking at minimum; third-party topics relevant to your niche

Data and enrichment

Supplies accurate contacts and keeps records current

Verified emails and direct dials, refresh frequency, coverage of your ICP’s regions

Reporting and forecasting

Turns activity into pipeline created, coverage, and velocity

By-source reporting, historical conversion rates, forecasts built from stage data

Our own stack collapses several of these layers: Martal AI SDR combines a database of 300M+ verified contacts with intent monitoring and omnichannel campaign execution, and it automates 80% of the repetitive tasks that normally eat an SDR’s day.

Two buying rules keep the stack honest. Buy tools after the process works manually, because software accelerates whatever you feed it, including a broken motion. And audit for overlap annually, since most teams accumulate two or three tools doing the same job, paying in both budget and data fragmentation.

Who Owns Pipeline Generation?

Pipeline generation works best as a shared number with explicit splits, not a single department’s job. Marketing sources pipeline through campaigns and inbound interest, SDRs create it through outbound prospecting and qualification, and account executives contribute self-sourced opportunities from their own networks and territories. When any one of those groups assumes another has it covered, the quarter ends short.

Sales leaders in Reddit and RevOps communities keep circling the same fight: reps complain they get no inbound support, marketing points to lead volume nobody works, and leadership discovers too late that nobody actually carried a pipeline target. The Ebsta x Pavilion 2025 GTM Benchmarks show how concentrated production has become: just 14% of sellers now drive 80% of revenue. Ownership that lives with a handful of top performers is not a system. It is a risk.

How the split usually works

There is no universal formula, but healthy teams make the split explicit: marketing commits to a pipeline-dollar contribution rather than a raw lead count, SDRs carry meeting and SQL targets that feed B2B appointment setting outcomes, and AEs hold a self-sourced pipeline expectation on top of what they receive. The percentages matter less than the fact that every group can state its number.

Setting pipeline targets that stick

Denominate every target in pipeline dollars, not activities. A hundred dials means nothing if none become opportunities, and outbound lead generation programs earn their budget by the qualified pipeline they create. Review contribution by source monthly, and when one source underperforms, fix that source rather than silently raising another team’s quota.

How Much Pipeline Do You Need?

The traditional answer is 3-4x pipeline coverage against your revenue target, and in the current market that is the floor, not the goal. The same Ebsta x Pavilion 2025 GTM Benchmarks, built on 655,000 opportunities and $48 billion in pipeline, recorded average B2B win rates falling to 19% from 29% a year earlier. At a 19% win rate, simple math implies more than 5x coverage to reliably hit quota.

How to calculate pipeline coverage

Divide open pipeline value by your revenue target for the same period. If your quarterly target is $1M and you hold $3.2M in open qualified pipeline, your coverage is 3.2x. Then adjust for your actual win rate: required coverage is roughly 1 divided by your win rate, so a 25% win rate implies 4x and a 20% win rate implies 5x. Run the calculation on qualified pipeline only, because inflated pipeline makes the ratio a comfortable lie.

How pipeline velocity works

Velocity measures how fast pipeline becomes revenue: multiply the number of open opportunities, average deal size, and win rate, then divide by sales cycle length in days. It tells you which lever to pull. If velocity is falling while volume holds, your problem is qualification or deal progression, not top-of-funnel effort. The Ebsta x Pavilion data underlines how much progression matters: involving the economic decision-maker early lifts win rates by 55%.

Beware phantom pipeline

A recurring confession in sales communities is the inflated pipeline: deals that should have been closed-lost weeks ago, kept alive because an empty pipeline feels worse than a fake one. Phantom pipeline destroys forecasts and hides real coverage gaps until it is too late to fix them. Disciplined pipeline management means aging out stalled deals on a schedule, requiring a next step on every open opportunity, and treating a smaller honest number as better information than a bigger dishonest one.

Common Pipeline Generation Mistakes

Adding volume instead of relevance

When pipeline runs short, the reflex is more sends and more dials. Frustrated reps in outbound communities describe the result bluntly: every escalation in volume burns more goodwill and trains buyers to ignore the channel. Fewer, better-researched touches to accounts showing intent outperform blast volume on every metric that matters.

Optimizing for MQL count over qualification

A big MQL number that never converts is a vanity metric. If marketing is paid on volume, forms get looser and quality drops. Tighten the definition, even at the cost of a smaller number, and inspect the MQL vs SQL conversion rate monthly. A shrinking conversion rate is the earliest warning that your funnel is filling with the wrong people.

Following up slowly

Interest decays in hours. A prospect who requested a demo and waited three days for a reply has usually already talked to a competitor. Set a response SLA, automate the first acknowledgment, and route sales-ready leads to a human the same day.

Building on bad data

Bounced emails, wrong titles, and disconnected numbers quietly sabotage every tactic in this guide, and they damage sender reputation on top. Clean and enrich your lists before launching sequences, and refresh them on a schedule rather than once a year.

Generating pipeline in bursts

Pipeline built only when the forecast looks scary arrives too late, because opportunities created this month typically close next quarter or later. Prospecting is a weekly habit with protected time, not an emergency response.

How Martal Group Generates Pipeline for B2B Clients

Martal Group generates pipeline through fully managed omnichannel outbound: onshore Sales Executives across NA, EU, and LATAM run coordinated email, LinkedIn, and phone sequences, targeted by intent data from our AI sales platform, and deliver qualified opportunities directly into your calendar. Trusted by 2,000+ B2B brands worldwide, our B2B lead generation services exist to compress the distance between an empty pipeline and a forecastable one.

The process follows the same principles this guide describes. We start by building or refining your ideal customer profile, then assemble and enrich target lists around accounts showing in-market behavior. Sales Executives run tailored omnichannel sequences, qualify responders on authority and need, and book meetings only with prospects who clear that bar, so your closers spend their time selling instead of sifting. Onboarding takes 7-10 business days, and managed clients start generating SQLs in 30 days.

The Awin engagement shows what this looks like over time. Acting as an extension of Awin’s sales team across a multi-year program, our Sales Executives used buyer intent data and omnichannel campaigns to work a funnel of 1,204 leads down to 100 SQLs and 74 booked meetings, with the ICP and messaging refined continuously in weekly reviews with their sales department.

That weekly rhythm is the part clients underestimate. Pipeline generation improves fastest when the outbound team and your closers compare notes on what is converting, which mirrors the alignment practices covered earlier. And an outsourced motion is not the right fit for everyone: it works best when you have a defined offer, closing capacity, and a target market larger than your existing network can reach.

Conclusion: Make Pipeline Generation a System, Not a Scramble

Predictable pipeline comes from running the whole engine deliberately: a strict definition of what counts, coverage math you actually track, clear ownership across teams, and a tactic mix that meets buyers where they research. Start with the two highest-leverage fixes for most teams, which are prioritizing accounts showing intent and coordinating your outreach across channels, then layer in content, referrals, and community presence as the compounding plays.

If you would rather compress the timeline, this is the work we do every day. Martal Group has spent 16+ years running omnichannel outbound for B2B companies, pairing experienced onshore sales teams with AI-driven targeting to turn cold markets into qualified opportunities. Book a consultation and we will map what a realistic pipeline engine looks like for your targets.

FAQs: Pipeline Generation

Rachana Pallikaraki
Rachana Pallikaraki
Marketing Specialist at Martal Group